Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities
Carbon capture, utilization, and sequestration (CCUS) is a promising solution to decarbonize the energy and industrial sectors to mitigate climate change. An integrated assessment of technological options is required for the effective deployment of CCUS large-scale infrastructure between CO2 product...
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| Published in: | The Science of the total environment Vol. 917; p. 170085 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Netherlands
Elsevier B.V
20.03.2024
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| Subjects: | |
| ISSN: | 0048-9697, 1879-1026, 1879-1026 |
| Online Access: | Get full text |
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| Abstract | Carbon capture, utilization, and sequestration (CCUS) is a promising solution to decarbonize the energy and industrial sectors to mitigate climate change. An integrated assessment of technological options is required for the effective deployment of CCUS large-scale infrastructure between CO2 production and utilization/sequestration nodes. However, developing cost-effective strategies from engineering and operation perspectives to implement CCUS is challenging. This is due to the diversity of upstream emitting processes located in different geographical areas, available downstream utilization technologies, storage sites capacity/location, and current/future energy/emissions/economic conditions. This paper identifies the need to achieve a robust hybrid assessment tool for CCUS modeling, simulation, and optimization based mainly on artificial intelligence (AI) combined with mechanistic methods. Thus, a critical literature review is conducted to assess CCUS technologies and their related process modeling/simulation/optimization techniques, while evaluating the needs for improvements or new developments to reduce overall CCUS systems design and operation costs. These techniques include first principles- based and data-driven ones, i.e. AI and related machine learning (ML) methods. Besides, the paper gives an overview on the role of life cycle assessment (LCA) to evaluate CCUS systems where the combined LCA-AI approach is assessed. Other advanced methods based on the AI/ML capabilities/algorithms can be developed to optimize the whole CCUS value chain. Interpretable ML combined with explainable AI can accelerate optimum materials selection by giving strong rules which accelerates the design of capture/utilization plants afterwards. Besides, deep reinforcement learning (DRL) coupled with process simulations will accelerate process design/operation optimization through considering simultaneous optimization of equipment sizing and operating conditions. Moreover, generative deep learning (GDL) is a key solution to optimum capture/utilization materials design/discovery. The developed AI methods can be generalizable where the extracted knowledge can be transferred to future works to help cutting the costs of CCUS value chain.
[Display omitted]
•Carbon capture, utilization and sequestration (CCUS) technologies were reviewed.•The application of artificial intelligence (AI), as a data-driven approach, in CCUS was reviewed and evaluated.•Limitations of existing mechanistic and data-driven methods were determined.•New opportunities for applying AI to optimize the performance of CCUS systems were proposed in detail.•Hybrid modeling is identified as a promising approach for accelerated CCUS optimization. |
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| AbstractList | Carbon capture, utilization, and sequestration (CCUS) is a promising solution to decarbonize the energy and industrial sectors to mitigate climate change. An integrated assessment of technological options is required for the effective deployment of CCUS large-scale infrastructure between CO2 production and utilization/sequestration nodes. However, developing cost-effective strategies from engineering and operation perspectives to implement CCUS is challenging. This is due to the diversity of upstream emitting processes located in different geographical areas, available downstream utilization technologies, storage sites capacity/location, and current/future energy/emissions/economic conditions. This paper identifies the need to achieve a robust hybrid assessment tool for CCUS modeling, simulation, and optimization based mainly on artificial intelligence (AI) combined with mechanistic methods. Thus, a critical literature review is conducted to assess CCUS technologies and their related process modeling/simulation/optimization techniques, while evaluating the needs for improvements or new developments to reduce overall CCUS systems design and operation costs. These techniques include first principles- based and data-driven ones, i.e. AI and related machine learning (ML) methods. Besides, the paper gives an overview on the role of life cycle assessment (LCA) to evaluate CCUS systems where the combined LCA-AI approach is assessed. Other advanced methods based on the AI/ML capabilities/algorithms can be developed to optimize the whole CCUS value chain. Interpretable ML combined with explainable AI can accelerate optimum materials selection by giving strong rules which accelerates the design of capture/utilization plants afterwards. Besides, deep reinforcement learning (DRL) coupled with process simulations will accelerate process design/operation optimization through considering simultaneous optimization of equipment sizing and operating conditions. Moreover, generative deep learning (GDL) is a key solution to optimum capture/utilization materials design/discovery. The developed AI methods can be generalizable where the extracted knowledge can be transferred to future works to help cutting the costs of CCUS value chain.Carbon capture, utilization, and sequestration (CCUS) is a promising solution to decarbonize the energy and industrial sectors to mitigate climate change. An integrated assessment of technological options is required for the effective deployment of CCUS large-scale infrastructure between CO2 production and utilization/sequestration nodes. However, developing cost-effective strategies from engineering and operation perspectives to implement CCUS is challenging. This is due to the diversity of upstream emitting processes located in different geographical areas, available downstream utilization technologies, storage sites capacity/location, and current/future energy/emissions/economic conditions. This paper identifies the need to achieve a robust hybrid assessment tool for CCUS modeling, simulation, and optimization based mainly on artificial intelligence (AI) combined with mechanistic methods. Thus, a critical literature review is conducted to assess CCUS technologies and their related process modeling/simulation/optimization techniques, while evaluating the needs for improvements or new developments to reduce overall CCUS systems design and operation costs. These techniques include first principles- based and data-driven ones, i.e. AI and related machine learning (ML) methods. Besides, the paper gives an overview on the role of life cycle assessment (LCA) to evaluate CCUS systems where the combined LCA-AI approach is assessed. Other advanced methods based on the AI/ML capabilities/algorithms can be developed to optimize the whole CCUS value chain. Interpretable ML combined with explainable AI can accelerate optimum materials selection by giving strong rules which accelerates the design of capture/utilization plants afterwards. Besides, deep reinforcement learning (DRL) coupled with process simulations will accelerate process design/operation optimization through considering simultaneous optimization of equipment sizing and operating conditions. Moreover, generative deep learning (GDL) is a key solution to optimum capture/utilization materials design/discovery. The developed AI methods can be generalizable where the extracted knowledge can be transferred to future works to help cutting the costs of CCUS value chain. Carbon capture, utilization, and sequestration (CCUS) is a promising solution to decarbonize the energy and industrial sectors to mitigate climate change. An integrated assessment of technological options is required for the effective deployment of CCUS large-scale infrastructure between CO2 production and utilization/sequestration nodes. However, developing cost-effective strategies from engineering and operation perspectives to implement CCUS is challenging. This is due to the diversity of upstream emitting processes located in different geographical areas, available downstream utilization technologies, storage sites capacity/location, and current/future energy/emissions/economic conditions. This paper identifies the need to achieve a robust hybrid assessment tool for CCUS modeling, simulation, and optimization based mainly on artificial intelligence (AI) combined with mechanistic methods. Thus, a critical literature review is conducted to assess CCUS technologies and their related process modeling/simulation/optimization techniques, while evaluating the needs for improvements or new developments to reduce overall CCUS systems design and operation costs. These techniques include first principles- based and data-driven ones, i.e. AI and related machine learning (ML) methods. Besides, the paper gives an overview on the role of life cycle assessment (LCA) to evaluate CCUS systems where the combined LCA-AI approach is assessed. Other advanced methods based on the AI/ML capabilities/algorithms can be developed to optimize the whole CCUS value chain. Interpretable ML combined with explainable AI can accelerate optimum materials selection by giving strong rules which accelerates the design of capture/utilization plants afterwards. Besides, deep reinforcement learning (DRL) coupled with process simulations will accelerate process design/operation optimization through considering simultaneous optimization of equipment sizing and operating conditions. Moreover, generative deep learning (GDL) is a key solution to optimum capture/utilization materials design/discovery. The developed AI methods can be generalizable where the extracted knowledge can be transferred to future works to help cutting the costs of CCUS value chain. [Display omitted] •Carbon capture, utilization and sequestration (CCUS) technologies were reviewed.•The application of artificial intelligence (AI), as a data-driven approach, in CCUS was reviewed and evaluated.•Limitations of existing mechanistic and data-driven methods were determined.•New opportunities for applying AI to optimize the performance of CCUS systems were proposed in detail.•Hybrid modeling is identified as a promising approach for accelerated CCUS optimization. Carbon capture, utilization, and sequestration (CCUS) is a promising solution to decarbonize the energy and industrial sectors to mitigate climate change. An integrated assessment of technological options is required for the effective deployment of CCUS large-scale infrastructure between CO₂ production and utilization/sequestration nodes. However, developing cost-effective strategies from engineering and operation perspectives to implement CCUS is challenging. This is due to the diversity of upstream emitting processes located in different geographical areas, available downstream utilization technologies, storage sites capacity/location, and current/future energy/emissions/economic conditions. This paper identifies the need to achieve a robust hybrid assessment tool for CCUS modeling, simulation, and optimization based mainly on artificial intelligence (AI) combined with mechanistic methods. Thus, a critical literature review is conducted to assess CCUS technologies and their related process modeling/simulation/optimization techniques, while evaluating the needs for improvements or new developments to reduce overall CCUS systems design and operation costs. These techniques include first principles- based and data-driven ones, i.e. AI and related machine learning (ML) methods. Besides, the paper gives an overview on the role of life cycle assessment (LCA) to evaluate CCUS systems where the combined LCA-AI approach is assessed. Other advanced methods based on the AI/ML capabilities/algorithms can be developed to optimize the whole CCUS value chain. Interpretable ML combined with explainable AI can accelerate optimum materials selection by giving strong rules which accelerates the design of capture/utilization plants afterwards. Besides, deep reinforcement learning (DRL) coupled with process simulations will accelerate process design/operation optimization through considering simultaneous optimization of equipment sizing and operating conditions. Moreover, generative deep learning (GDL) is a key solution to optimum capture/utilization materials design/discovery. The developed AI methods can be generalizable where the extracted knowledge can be transferred to future works to help cutting the costs of CCUS value chain. Carbon capture, utilization, and sequestration (CCUS) is a promising solution to decarbonize the energy and industrial sectors to mitigate climate change. An integrated assessment of technological options is required for the effective deployment of CCUS large-scale infrastructure between CO production and utilization/sequestration nodes. However, developing cost-effective strategies from engineering and operation perspectives to implement CCUS is challenging. This is due to the diversity of upstream emitting processes located in different geographical areas, available downstream utilization technologies, storage sites capacity/location, and current/future energy/emissions/economic conditions. This paper identifies the need to achieve a robust hybrid assessment tool for CCUS modeling, simulation, and optimization based mainly on artificial intelligence (AI) combined with mechanistic methods. Thus, a critical literature review is conducted to assess CCUS technologies and their related process modeling/simulation/optimization techniques, while evaluating the needs for improvements or new developments to reduce overall CCUS systems design and operation costs. These techniques include first principles- based and data-driven ones, i.e. AI and related machine learning (ML) methods. Besides, the paper gives an overview on the role of life cycle assessment (LCA) to evaluate CCUS systems where the combined LCA-AI approach is assessed. Other advanced methods based on the AI/ML capabilities/algorithms can be developed to optimize the whole CCUS value chain. Interpretable ML combined with explainable AI can accelerate optimum materials selection by giving strong rules which accelerates the design of capture/utilization plants afterwards. Besides, deep reinforcement learning (DRL) coupled with process simulations will accelerate process design/operation optimization through considering simultaneous optimization of equipment sizing and operating conditions. Moreover, generative deep learning (GDL) is a key solution to optimum capture/utilization materials design/discovery. The developed AI methods can be generalizable where the extracted knowledge can be transferred to future works to help cutting the costs of CCUS value chain. |
| ArticleNumber | 170085 |
| Author | Amazouz, Mouloud Boffito, Daria C. Al-Sakkari, Eslam G. Dagdougui, Hanane Ragab, Ahmed |
| Author_xml | – sequence: 1 givenname: Eslam G. surname: Al-Sakkari fullname: Al-Sakkari, Eslam G. email: eslam.ibrahim@polymtl.ca, eslam.ibrahim@nrcan-rncan.gc.ca organization: Department of Mathematics and Industrial Engineering, Polytechnique Montréal, 2500 Chemin de Polytechnique, Montréal, Québec H3T 1J4, Canada – sequence: 2 givenname: Ahmed surname: Ragab fullname: Ragab, Ahmed organization: Department of Mathematics and Industrial Engineering, Polytechnique Montréal, 2500 Chemin de Polytechnique, Montréal, Québec H3T 1J4, Canada – sequence: 3 givenname: Hanane surname: Dagdougui fullname: Dagdougui, Hanane organization: Department of Mathematics and Industrial Engineering, Polytechnique Montréal, 2500 Chemin de Polytechnique, Montréal, Québec H3T 1J4, Canada – sequence: 4 givenname: Daria C. surname: Boffito fullname: Boffito, Daria C. organization: Department of Chemical Engineering, Polytechnique Montréal, 2500 Chemin de Polytechnique, Montréal, Québec H3T 1J4, Canada – sequence: 5 givenname: Mouloud surname: Amazouz fullname: Amazouz, Mouloud organization: CanmetENERGY, 1615 Lionel-Boulet Blvd, P.O. Box 4800, Varennes, Québec J3X 1P7, Canada |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38224888$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.ces.2020.115801 10.1080/07352680902776440 10.1016/j.jclepro.2017.07.215 10.1016/j.fuproc.2021.106924 10.1016/j.seppur.2013.10.023 10.1021/acs.jpcc.0c05964 10.1016/j.jclepro.2018.01.265 10.1016/j.energy.2016.04.120 10.1016/j.fuel.2022.126296 10.1016/j.egypro.2011.02.314 10.1016/j.egyai.2020.100037 10.3389/fclim.2020.586199 10.1016/j.ijhydene.2014.05.033 10.1007/s11367-018-1477-1 10.1016/j.scitotenv.2018.11.424 10.1016/j.egypro.2014.11.288 10.1016/j.resconrec.2022.106209 10.1016/j.apenergy.2017.03.017 10.1016/j.ijhydene.2015.07.013 10.1016/j.scitotenv.2023.164150 10.1039/C3CS60373C 10.1002/ente.201600024 10.1016/j.egypro.2014.11.427 10.5109/1929729 10.1016/j.fuel.2012.05.037 10.1016/j.jlp.2011.01.010 10.1016/j.apenergy.2011.01.013 10.1002/er.5225 10.1016/j.ijggc.2016.08.005 10.1007/978-3-319-92237-9_8 10.1016/j.cherd.2010.09.020 10.1201/9780429327773-12 10.1002/cssc.201000355 10.1002/ghg.1937 10.1016/j.egypro.2013.05.149 10.1016/j.scitotenv.2020.142892 10.1016/j.petrol.2014.07.024 10.1016/j.ijggc.2016.07.014 10.1016/j.ijggc.2021.103307 10.1016/j.jcou.2023.102474 10.1016/j.xcrp.2021.100396 10.1016/j.ijggc.2021.103480 10.2118/199876-PA 10.1021/acs.iecr.5b03277 10.1007/s11367-012-0451-6 10.1016/j.chemosphere.2021.130498 10.1016/j.jenvman.2016.09.048 10.1021/jacs.0c09105 10.1016/j.seppur.2006.02.015 10.1016/j.atmosenv.2008.06.038 10.1016/j.compchemeng.2021.107569 10.1016/j.jece.2022.107988 10.1016/j.memsci.2015.01.039 10.3389/fenrg.2020.00092 10.1021/acs.jpcc.0c01878 10.1126/science.1181637 10.1016/j.powtec.2020.06.075 10.1002/cjce.20700 10.1016/j.ijggc.2016.10.010 10.1016/j.ijggc.2017.11.021 10.1021/acs.jpclett.5b01660 10.1016/j.scitotenv.2004.08.020 10.1126/sciadv.aaz4301 10.1021/acs.iecr.9b04173 10.4155/cmt.12.73 10.1016/j.egypro.2013.06.618 10.1038/s41929-019-0306-7 10.1021/acs.chemmater.8b02257 10.1016/j.apenergy.2015.10.011 10.1016/j.apenergy.2022.119743 10.1016/j.jngse.2019.04.008 10.1016/j.jcou.2017.06.012 10.32604/jbd.2021.016993 10.3390/en13205289 10.1016/j.jclepro.2020.121329 10.1007/s11367-008-0034-8 10.1016/j.fuel.2021.122033 10.1002/cssc.201300107 10.1016/j.jenvman.2022.115913 10.3390/pr8080960 10.3390/su12239948 10.1016/j.ress.2021.108016 10.1021/acs.energyfuels.0c04346 10.1038/s41467-020-18154-9 10.1002/adma.201907865 10.1021/ie200344t 10.1016/j.apenergy.2018.05.044 10.1016/j.apenergy.2022.119668 10.1007/BF02979835 10.1016/j.cattod.2009.07.082 10.1007/s10311-019-00874-0 10.1016/j.egypro.2017.03.1776 10.1002/cssc.201301114 10.1002/cite.202100083 10.3390/su13041800 10.1016/j.ijggc.2015.06.017 10.1016/j.ijggc.2015.12.031 10.1016/j.egypro.2019.02.148 10.1016/j.ijggc.2013.05.006 10.1029/2020WR027473 10.1002/aic.16362 10.1021/acsenergylett.8b00878 10.1016/j.chempr.2019.10.009 10.1016/j.compchemeng.2022.107925 10.1088/1361-6501/aa57d6 10.1021/ef302017m 10.1016/j.fuel.2021.121637 10.1007/s10845-016-1244-8 10.1002/wcms.1241 10.1007/s11367-016-1087-8 10.1039/C2JM12592G 10.1038/nchem.834 10.1021/acs.chemrev.6b00662 10.1016/j.apenergy.2017.09.078 10.3390/su13052527 10.1021/acs.iecr.9b02521 10.1016/j.ijggc.2011.12.007 10.38094/jastt20165 10.1016/j.compchemeng.2015.04.034 10.1039/C9ME00062C 10.1016/j.fuel.2022.123391 10.1016/j.ijggc.2017.04.011 10.1021/acs.jctc.9b00782 10.1021/ie503517y 10.1016/j.piutam.2015.04.008 10.1021/jp071897q 10.3390/buildings9010020 10.1016/j.seppur.2020.117055 10.1080/01496395.2014.915854 10.1016/j.cej.2017.11.167 10.1016/j.rser.2016.10.025 10.1016/j.psep.2013.10.004 10.1016/j.fuel.2018.02.163 10.1016/j.cherd.2020.01.002 10.1016/j.geoforum.2022.01.016 10.1016/j.petrol.2020.107037 10.1016/j.cej.2013.11.005 10.1016/j.flowmeasinst.2018.02.017 10.1002/adma.201802066 10.1016/j.molliq.2017.10.151 10.1039/C9EE00914K 10.1016/j.ijggc.2020.103189 10.1016/j.cherd.2015.07.027 10.1021/acs.jpcc.7b04985 10.1038/ncomms5228 10.1016/j.petrol.2021.109359 10.1021/acs.iecr.5b05015 10.1016/j.enconman.2007.01.016 10.1002/9781119106418.ch12 10.1016/j.micromeso.2007.12.016 10.1016/j.egypro.2011.02.180 10.1002/cjce.23393 10.1016/j.energy.2019.06.142 10.1016/j.jclepro.2020.120866 10.1007/BF02978909 10.1016/j.jhazmat.2011.12.062 10.1016/j.apenergy.2022.119514 10.1016/j.scitotenv.2021.148081 10.1016/j.ijggc.2019.102950 10.1016/j.apenergy.2015.08.024 10.3390/w15101824 10.1016/j.apenergy.2022.118985 10.1016/j.jclepro.2014.10.050 10.1016/j.jcou.2021.101764 10.1016/j.biortech.2016.03.060 10.1007/s11356-018-1903-8 10.1016/j.seppur.2021.119333 10.3389/fenrg.2022.877212 10.1016/j.cageo.2017.10.012 10.1016/j.acags.2020.100035 10.1016/j.ifacol.2018.09.284 10.24018/ejbmr.2021.6.5.1056 10.1016/j.enpol.2008.09.049 10.1016/j.apenergy.2016.09.103 10.1016/j.scitotenv.2020.143203 10.1002/ange.201812363 10.1021/jp105464u 10.1016/j.enbuild.2019.109479 10.1021/acs.est.9b07407 10.1016/j.ijggc.2008.07.001 10.1021/acs.iecr.9b06437 10.1016/j.fuel.2012.11.041 10.1021/acs.energyfuels.6b02800 10.1016/j.jclepro.2021.130067 10.1016/j.jece.2017.07.029 10.1016/j.egypro.2015.07.428 10.3390/pr8091144 10.1021/ie3029366 10.1109/ACCESS.2022.3163241 10.1016/j.apenergy.2020.115695 10.1007/s10973-021-10777-4 10.1039/c002915g 10.1021/am507465f 10.1016/j.jece.2023.110732 10.1016/j.scitotenv.2023.162944 10.1016/j.jenvman.2018.10.033 10.1088/1748-9326/abfeec 10.1016/j.cjche.2018.10.017 10.1021/acs.est.1c01849 10.3390/su151612299 10.1016/j.eng.2021.03.019 10.1016/j.compchemeng.2019.106569 10.1016/j.egypro.2011.02.120 10.1016/j.seppur.2020.116651 10.1016/j.energy.2015.07.052 10.1016/j.fuproc.2009.08.002 10.1039/D1EE02395K 10.2478/aoter-2014-0008 10.1016/j.envsoft.2019.104560 10.1080/10807039609383659 10.1080/10916466.2010.549891 10.1016/j.pecs.2009.10.001 10.1021/acscatal.1c04587 10.1016/j.egypro.2009.01.160 10.1016/j.apenergy.2020.114599 10.1016/j.jmp.2018.03.001 10.1016/j.energy.2020.119113 10.1002/cssc.202002126 10.1016/j.egypro.2013.05.171 10.21105/joss.03203 10.1016/j.jcou.2018.04.025 10.1016/j.egypro.2011.02.208 10.1016/j.eng.2018.05.006 10.1016/j.scitotenv.2023.163913 10.1016/j.micromeso.2004.07.035 10.1039/c3ee41151f 10.1016/j.jtice.2021.08.010 10.3390/atmos13030397 10.1016/S0167-2991(06)81553-3 10.1039/C7TX00144D 10.1016/j.cej.2012.08.092 10.1016/j.jclepro.2020.124419 10.1039/D1CC03154F 10.1016/j.jcp.2018.10.045 10.1016/j.energy.2020.117070 10.1016/j.enconman.2015.02.074 10.1021/acs.jpcc.5b02874 10.1016/j.memsci.2009.11.035 10.1016/j.seppur.2022.121827 10.1007/s11749-016-0481-7 10.1016/j.ijggc.2013.10.009 10.1016/j.energy.2021.122233 10.1146/annurev-chembioeng-060713-040321 10.1002/cssc.201000059 10.1016/j.enpol.2007.09.026 10.1016/j.ijggc.2015.07.017 10.1007/s11705-017-1698-z 10.5004/dwt.2012.3000 10.1016/j.jclepro.2020.121994 10.1016/j.egypro.2014.11.765 10.1145/3485128 10.3390/su14010336 10.1016/j.ijggc.2013.12.016 10.1002/ghg.29 10.1016/j.fluid.2020.112894 10.1016/j.memsci.2021.119207 10.1109/TPWRS.2013.2274176 10.1016/j.fuel.2019.116758 10.3389/fclim.2022.841907 10.1016/j.fuel.2020.118201 10.1016/j.egypro.2011.02.215 10.1016/j.petrol.2021.110047 10.1016/j.cherd.2013.04.007 10.1021/acs.jpclett.1c01526 10.1021/jacs.9b04956 10.1016/j.ijggc.2014.08.013 10.1007/s11367-019-01663-1 10.1016/j.egypro.2013.06.031 10.1088/1748-9326/10/12/125002 10.1166/asl.2017.8827 10.1016/j.rser.2020.110490 10.1021/acs.est.7b02862 10.1021/acsomega.1c07123 10.1016/j.flowmeasinst.2006.07.008 10.1016/j.fuel.2015.02.038 10.1021/acs.est.1c04092 10.1016/j.rser.2015.12.243 10.1016/j.ijggc.2013.01.009 10.1002/aic.14679 10.1016/j.compchemeng.2019.04.001 10.1002/cssc.201601545 10.1038/s41586-020-2242-8 10.1007/BF02978878 10.1016/j.ccst.2022.100044 10.1016/j.jlp.2014.09.014 10.1016/j.rser.2014.07.093 10.1016/j.compchemeng.2020.106885 10.1016/j.fuel.2019.115644 10.1021/ie3003705 10.1016/j.egypro.2017.03.1260 10.1016/j.eswa.2019.01.011 10.1016/j.esci.2023.100136 10.1016/j.egypro.2014.11.113 10.1016/j.jenvman.2016.08.054 10.1016/j.egypro.2017.03.1850 10.1016/j.apenergy.2022.119593 10.1016/j.fuel.2021.122057 10.1016/j.apenergy.2022.119244 10.1016/j.energy.2015.05.139 10.3389/fenrg.2022.855105 10.1002/ghg.1318 10.1016/j.scitotenv.2021.149834 10.1016/j.rser.2017.06.064 10.1016/j.jclepro.2019.118101 10.1021/jp4096776 10.1016/j.mex.2020.101046 10.1016/j.compfluid.2012.04.027 10.1002/smtd.202100987 10.1016/j.fuel.2015.06.092 |
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| Keywords | Life cycle assessment Surrogate costing models Material and process design Reinforcement Learning Carbon capture, utilization and sequestration Artificial intelligence and machine Learning Simulation-based optimization |
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| References | Chen, Wang, Valverde-Pérez, Zhai, Vezzaro, Wang (bb0285) 2021; 279 Grande, Ribeiro, Rodrigues (bb0515) 2010; 3 Biau, Scornet (bb0155) 2016; 25 Ogland-Hand, Cohen, Kammer, Ellett, Saar, Bennett, Middleton (bb1200) 2022; 10 Nkulikiyinka, Yan, Güleç, Manovic, Clough (bb1175) 2020; 2 Zheng, Jiang, Wang (bb1915) 2018; 30 Lund, H., Flåtten, T., Munkejord, S.T., 2011. Depressurization of carbon dioxide in pipelines—models and methods. Energy Procedia 4, 2984–2991. Kim, Chung, Kim, Cho (bb0785) 2006 Fazlollahi, Bown, Ebrahimzadeh, Baxter (bb0430) 2015; 90 De Guido, G., Pellegrini, L.A., 2022. Calculation of solid-vapor equilibria for cryogenic carbon capture. Comput. \& Chem. Eng. 156, 107569. Hinkov, Lamari, Langlois, Dicko, Chilev, Pentchev (bb0615) 2016; 51 Ma, Li, Achenie, Xin (bb0975) 2015; 6 Park, J., Suh, B.L., Kim, J., 2020. Computational design of a photoresponsive metal–organic framework for post combustion carbon capture. J. Phys. Chem. C 124, 13162–13167. Sinha, de Lima, Lin, Sun, Symons, Pawar, Guthrie (bb1500) 2020; 103 Sreedhar, Vaidhiswaran, Kamani, Venugopal (bb1520) 2017; 68 Blamey, Anthony, Wang, Fennell (bb0165) 2010; 36 Kalverkamp, Karbe (bb0740) 2019 Datta (bb0350) 2020 Moosavi, Jablonka, Smit (bb1100) 2020; 142 Maher, Meinecke, Gromier, Garcia-Novelli, Fortmann (bb0980) 2022 Mazzoldi, Hill, Colls (bb1025) 2008; 42 Goeppert, Zhang, Czaun, May, Prakash, Olah, Narayanan (bb0490) 2014; 7 Lee, Kwon, Chae, Jung, Lee, Ryu, Yi, Kim (bb0835) 2013; 104 Sipöcz, Tobiesen, Assadi (bb1505) 2011; 88 Krus, Jansson (bb0815) 1990 Theo, Lim, Hashim, Mustaffa, Ho (bb1580) 2016; 183 Pehnt, Henkel (bb1280) 2009; 3 Odeh, Cockerill (bb1195) 2008; 36 Teck Chan, Chen (bb1565) 2018; 51 von der Assen, Voll, Peters, Bardow (bb1660) 2014; 43 Bai, Zhang, Zhang, Ng (bb0115) 2023; 888 Ammendola, Raganati, Chirone, Miccio (bb0075) 2020; 373 Bamber, Turner, Arulnathan, Li, Zargar Ershadi, Smart, Pelletier (bb0120) 2020; 25 Padurean, A., Cormos, C.-C., Agachi, P.-S., 2012. Pre-combustion carbon dioxide capture by gas–liquid absorption for Integrated Gasification Combined Cycle power plants. Int. J. Greenh. Gas Control 7, 1–11. Leonzio, G., Foscolo, P.U., Zondervan, E., 2019b. Sustainable utilization and storage of carbon dioxide: analysis and design of an innovative supply chain. Comput. \& Chem. Eng. 131, 106569. Middleton, Bielicki (bb1050) 2009; 37 Duhoux, Mehrani, Lu, Symonds, Anthony, Macchi (bb0385) 2016; 4 Vembandasamy, K., Sasipriya, R., Deepa, E., 2015. Heart diseases detection using Naive Bayes algorithm. Int. J. Innov. Sci. Eng. \& Technol. 2, 441–444. You, Ampomah, Sun (bb1810) 2020; 264 Vo Thanh, Sugai, Sasaki (bb1645) 2020; 42 Wang, Yan, Wang, Wang, Duan, Zhang (bb1685) 2018; 68 Hasan, Abdulazeez (bb0570) 2021; 2 Zhang, Li, Chang, Pan, Luo (bb1885) 2018; 26 Al-Sakkari, Attia, Habashy, Abdeldayem, Mostafa, El-Sheltawy, Abadir, Mostafa, Rene, SEH Elnashaie (bb2000) 2021; 306 Natural Resources Canada NRCan (bb1150) Müller, Kätelhön, Bachmann, Zimmermann, Sternberg, Bardow (bb1140) 2020; 15 Heijungs, Huijbregts (bb0590) 2004 Chen, Harp, Lin, Keating, Pawar (bb0270) 2018; 225 Buelens, L.C., Poelman, H., Marin, G.B., Galvita, V. V, 2019. 110th anniversary: carbon dioxide and chemical looping: current research trends. Ind. \& Eng. Chem. Res. 58, 16235–16257. Dutcher, Fan, Russell (bb0390) 2015; 7 Font-Palma, Cann, Udemu (bb0440) 2021; C 7 Ribeiro, Grande, Rodrigues (bb1380) 2014; 49 Huijbregts (bb0680) 1998; 3 Cheong, Sankaran, Bastani (bb0290) 2022; 12 Truc, Rahmanian, Pishnamazi (bb1610) 2021; 13 Burns, T.D., Pai, K.N., Subraveti, S.G., Collins, S.P., Krykunov, M., Rajendran, A., Woo, T.K., 2020. Prediction of MOF performance in vacuum swing adsorption systems for postcombustion CO2 capture based on integrated molecular simulations, process optimizations, and machine learning models. Environ. Sci. \& Technol. 54, 4536–4544. Liu, Rao, Xiong (bb0925) 2020; 277 Leonzio, Bogle, Foscolo, Zondervan (bb0855) 2020; 155 Ooi, Foo, Ng, Tan (bb1215) 2013; 91 Müller, P., Bucior, B., Tuci, G., Luconi, L., Getzschmann, J., Kaskel, S., Snurr, R.Q., Giambastiani, G., Rossin, A., 2019. Computational screening, synthesis and testing of metal–organic frameworks with a bithiazole linker for carbon dioxide capture and its green conversion into cyclic carbonates. Mol. Syst. Des. \& Eng. 4, 1000–1013. Qadir, Sharma, Parvareh, Khalilpour, Abbas (bb1320) 2015; 97 Amar, Ghahfarokhi (bb0070) 2020; 190 Mannion, Parry, Patel, Ringvold, Scott (bb0985) 2023 Moldagulova, Sulaiman (bb1090) 2017 Liu, M., Hohenshil, A., Gadikota, G., 2021. Integrated CO2 capture and removal via carbon mineralization with inherent regeneration of aqueous solvents. Energy \& Fuels 35, 8051–8068. Shen, Niu, Zhang, Zhang (bb1470) 2021; 54 Khashaba, Ettouney, Abdelaal, Ashour, El-Rifai (bb0770) 2022; 10 McGlade (bb1040) Lo, Ma, Lo (bb0940) 2005; 340 Gu, Choi, Lee, Situmorang, Noh, Kim, Jung (bb0525) 2020; 32 Clark, Santiso (bb0315) 2018; 4 Vaswani, Shazeer, Parmar, Uszkoreit, Jones, Gomez, Kaiser, Polosukhin (bb4000) 2017; 30 Goto, Kazama, Furukawa, Serizawa, Aramaki, Shoji (bb0500) 2013; 37 Wu, Shen, Wang, Lee (bb1750) 2020; 196 Dobbelaere, Plehiers, de Vijver, Stevens, Van Geem (bb0375) 2021; 7 Harlick, Tezel (bb0565) 2004; 76 Zareie-Kordshouli, Lashani-Zadehgan, Darvishi (bb1870) 2017; 62 Hanak, Manovic (bb0555) 2017; 208 You, Ampomah, Sun (bb1815) 2020; 279 Global CCS Institute (bb0485) Subramanian, Oppenheim, Kim, Nguyen, Silo, Kim, Goddard, Yavuz (bb1535) 2019; 5 Charandabi, Kamyar (bb0235) 2021; 6 Agrawal, M., Eloot, K., Mancini, M., Patel, A., 2020. Industry 4.0: Reimagining Manufacturing Operations After COVID-19. McKinsey \& Co. 1–11. Mølnvik (bb1095) 2019 Yuan, Longo, Thornton, McKeown, Comesana-Gandara, Jansen, Jelfs (bb1845) 2021; 627 Das, Sarkar, Kumar, Ramarao S, Cherevotan, Jasil, Vinod, Singh, Peter (bb0345) 2021; 12 Moriarty, Dobeck, Benson (bb1120) 2014; 63 Graupner, B.J., Li, D., Bauer, S., 2011. The coupled simulator ECLIPSE–OpenGeoSys for the simulation of CO2 storage in saline formations. Energy Procedia 4, 3794–3800. Yadav, Mondal (bb1765) 2022; 308 Pardemann, Meyer (bb1250) 2015 Novak Mavar, Gaurina-Médjimurec, Hrnčević (bb1185) 2021; 13 Jaya, Syihab (bb0720) 2022 Song, R., Keller, A.A., Suh, S., 2017. Rapid life-cycle impact screening using artificial neural networks. Environ. Sci. \& Technol. 51, 10777–10785. Zareie-kordshouli, Lashani-zadehgan, Darvishi (bb1865) 2016; 52 Li, Yan, Zhang, Lichtfouse (bb0880) 2019; 17 Hussin, Rahim, Hatta, Aroua, Mazari (bb0695) 2023; 71 Yu, Lashgari, Wu, Sepehrnoori (bb1830) 2015; 159 Hung, Ma (bb0685) 2009; 14 Kopač, Huš, Ogrizek, Likozar (bb0805) 2017; 121 Liu, P., Zhang, X., 2015. Enhanced oil recovery by CO2–CH4 flooding in low permeability and rhythmic hydrocarbon reservoir. Int. J. Hydrog. Energy 40, 12849–12853. Tu, Yang, Cui, Shang, Yan (bb1615) 2022; 323 Hemmati, Messadi, Gu (bb0600) 2021; 14 Shokravi, Shokravi, Aziz, Shokravi (bb1485) 2019 Stauffer, Viswanathan, Pawar, Guthrie (bb1525) 2009 Hilliard (bb0610) 2008 Webber (bb1700) 2011; 24 Luberti, Oreggioni, Ahn (bb0960) 2017; 5 Poordad, Forutan (bb1305) 2013; 31 Joshi, Bikkina, Wang (bb0735) 2016; 55 Priya, Devarajan, Alagumalai, Song (bb1310) 2023; 886 Sassone, D., Bocchini, S., Fontana, M., Salvini, C., Cicero, G., Fiorentin, M.R., Risplendi, F., Latini, G., Farkhondehfal, M.A., Pirri, F., others, 2022. Imidazole-imidazolate pair as organo-electrocatalyst for CO2 reduction on ZIF-8 material. Appl. Energy 324, 119743. Baumgartner, Malik, Padhi (bb0130) 2020 Mecheter, Tarlochan, Kucukvar (bb1045) 2023; 15 Xiao, Li, Fang, Böwer, Wark, Bénard, Chahine (bb1755) 2020; 44 Kim, Son, Han, Yoon, Oh (bb0790) 2022; 300 Yin, Yin, Srivastava, Gadikota (bb1795) 2022; 180 Bharath, Karthikeyan, Kumar, Prakash, Venkatasubbu, Nadda, Gupta, Haija, Banat (bb0145) 2022; 318 Ghoroghi, Rezgui, Petri, Beach (bb0465) 2022 Riaz, Cinar (bb1375) 2014; 124 Haider, Kumar (bb0545) 2020; 248 Su, Y., Li, J., Yu, B., Zhao, Y., Yao, J., 2021. Fast and accurate prediction of failure pressure of oil and gas defective pipelines using the deep learning model. Reliab. Eng. \& Syst. Saf. 216, 108016. Rahimi, Singh, Müller-Plathe (bb1345) 2015; 119 Kiani, Jiang, Feron (bb0780) 2020; 8 Oliveira, Koivisto, Iwakiri, Loureiro, Ribeiro, Nogueira (bb1205) 2020; 224 Morbee, Serpa, Tzimas (bb1110) 2011; 4 Hussain, Hägg (bb0690) 2010; 359 Thanh, Yasin, Al-Mudhafar, Lee (bb1570) 2022; 314 Lacy, Molina, Vaca, Serralde, Hernandez, Rios, Guzman, Hernandez, Perez (bb0825) 2015; 42 Adu, Zhang, Liu (bb0025) 2019; 97 Henry, Tombs, Duta, Zhou, Mercado, Kenyery, Shen, Morles, Garcia, Langansan (bb0605) 2006; 17 Abdeldayem, Dabbish, Habashy, Mostafa, Elhefnawy, Amin, Al-Sakkari, Ragab, Rene (bb0005) 2022; 803 Chelvam, Hanafiah (bb0250) 2023 Lu, Su, Hsu, Chen, Bai, Hwang, Lee (bb0950) 2009; 90 Arias, Mussati, Mores, Scenna, Caballero, Mussati (bb0095) 2016; 53 Thonemann, Zacharopoulos, Fromme, Nühlen (bb1595) 2022; 332 von der Assen, Jung, Bardow (bb1655) 2013; 6 Middleton, R.S., Chen, B., Harp, D.R., Kammer, R.M., Ogland-Hand, J.D., Bielicki, J.M., Clarens, A.F., Currier, R.P., Ellett, K.M., Hoover, B.A., others, 2020a. Great SCO2T! Rapid tool for carbon sequestration science, engineering, and economics. Appl. Comput. Geosci. 7, 100035. Wang, Sun, Yin, Wei, Peng, Pang, Jia, Zhao, Pang, Yin (bb1690) 2023; 3 Rahimi, Moosavi, Smit, Hatton (bb1350) 2021; 2 Wang, Wang, Li, Qiao, Long, Ling (bb1675) 2015; 61 Wernet, Bauer, Steubing, Reinhard, Moreno-Ruiz, Weidema (bb1710) 2016; 21 Ramraj, Uzir, Sunil, Banerjee (bb1365) 2016; 9 Yuan, Z., Eden, M.R., Gani, R., 2016. Toward the development and deployment of large-scale carbon dioxide capture and conversion processes. Ind. \& Eng. Chem. Res. 55, 3383–3419. Ahmad, Adewole, Leo, Ismail, Sultan, Olatunji (bb0040) 2015; 480 Zhang, Schott, Liu, Chen, Lu, Sumpter, Fu, Dai (bb1890) 2019; 131 Chao, Deng, Dewil, Baeyens, Fan (bb0230) 2021; 138 Nost, Colven (bb1180) 2022; 130 Nuchitprasittichai, Cremaschi (bb1190) 2013; 52 Liang, Z.H., Rongwong, W., Liu, H., Fu, K., Gao, H., Cao, F., Zhang, R., Sema, T., Henni, A., Sumon, K., others, Schulz (10.1016/j.scitotenv.2024.170085_bb1435) 2018; 85 Pauer (10.1016/j.scitotenv.2024.170085_bb1275) 2020; 12 Mazzoldi (10.1016/j.scitotenv.2024.170085_bb1030) 2013; 3 Rashidi (10.1016/j.scitotenv.2024.170085_bb1370) 2019; 26 Hares (10.1016/j.scitotenv.2024.170085_bb0560) 2022; 4 Raganati (10.1016/j.scitotenv.2024.170085_bb1340) 2014; 239 Ragab (10.1016/j.scitotenv.2024.170085_bb1325) 2019; 122 Hinkov (10.1016/j.scitotenv.2024.170085_bb0615) 2016; 51 10.1016/j.scitotenv.2024.170085_bb0470 Khurana (10.1016/j.scitotenv.2024.170085_bb0775) 2019; 65 Shekhah (10.1016/j.scitotenv.2024.170085_bb1460) 2014; 5 Shirmohammadi (10.1016/j.scitotenv.2024.170085_bb1475) 2020; 42 Mukherjee (10.1016/j.scitotenv.2024.170085_bb1125) 2023 Ampomah (10.1016/j.scitotenv.2024.170085_bb0080) 2017; 195 Bai (10.1016/j.scitotenv.2024.170085_bb0115) 2023; 888 Harlick (10.1016/j.scitotenv.2024.170085_bb0565) 2004; 76 Krus (10.1016/j.scitotenv.2024.170085_bb0815) 1990 Goli (10.1016/j.scitotenv.2024.170085_bb0495) 2016; 183 Shen (10.1016/j.scitotenv.2024.170085_bb1465) 2006; 51 10.1016/j.scitotenv.2024.170085_bb0355 10.1016/j.scitotenv.2024.170085_bb1445 Vega (10.1016/j.scitotenv.2024.170085_bb1625) 2018 Heijungs (10.1016/j.scitotenv.2024.170085_bb0590) 2004 Priya (10.1016/j.scitotenv.2024.170085_bb1310) 2023; 886 10.1016/j.scitotenv.2024.170085_bb0915 Hasan (10.1016/j.scitotenv.2024.170085_bb9000) 2022; 166 Al-Shargabi (10.1016/j.scitotenv.2024.170085_bb0060) 2022; 7 Liu (10.1016/j.scitotenv.2024.170085_bb0905) 2011; 1 NETL (10.1016/j.scitotenv.2024.170085_bb1160) Khashaba (10.1016/j.scitotenv.2024.170085_bb0770) 2022; 10 Bhatt (10.1016/j.scitotenv.2024.170085_bb0150) 2019; 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| References_xml | – volume: 108 year: 2021 ident: bb0335 article-title: Life cycle assessment of carbon capture and storage/utilization: from current state to future research directions and opportunities publication-title: Int. J. Greenh. Gas Control – volume: 318 year: 2022 ident: bb0145 article-title: Surface engineering of Au nanostructures for plasmon-enhanced electrochemical reduction of N2 and CO2 into urea in the visible-NIR region publication-title: Appl. Energy – volume: 92 start-page: 328 year: 2015 end-page: 340 ident: bb0480 article-title: Life cycle assessment of an integrated oxy-fuel combustion power plant with CO2 capture, transport and storage—Poland case study publication-title: Energy – ident: bb0650 article-title: Europe's carbon capture activity must prompt policymakers to take action: more than 40 projects announced – volume: 158 start-page: 332 year: 2015 end-page: 347 ident: bb0800 article-title: The influence of uncertainty in the development of a CO2 infrastructure network publication-title: Appl. Energy – volume: 5 start-page: 3232 year: 2019 end-page: 3242 ident: bb1535 article-title: Catalytic non-redox carbon dioxide fixation in cyclic carbonates publication-title: Chem – reference: Zhong, M., Tran, K., Min, Y., Wang, C., Wang, Z., Dinh, C.-T., De Luna, P., Yu, Z., Rasouli, A.S., Brodersen, P., others, 2020. Accelerated discovery of CO2 electrocatalysts using active machine learning. Nature 581, 178–183. – volume: 46 start-page: 18 year: 2016 end-page: 27 ident: bb0310 article-title: Life cycle assessment of CaO looping versus amine-based absorption for capturing CO2 in a subcritical coal power plant publication-title: Int. J. Greenh. Gas Control – volume: 51 start-page: 109 year: 2018 end-page: 114 ident: bb1565 article-title: Economic model predictive control of an absorber-stripper CO2 capture process for improving energy cost publication-title: IFAC-PapersOnLine – year: 2020 ident: bb0130 article-title: Reimagining industrial supply chains – volume: 320 year: 2022 ident: bb1860 article-title: Tool for optimization of energy consumption of membrane-based carbon capture publication-title: J. Environ. Manag. – volume: 138 year: 2021 ident: bb0230 article-title: Post-combustion carbon capture publication-title: Renew. Sust. Energ. Rev. – volume: 37 start-page: 1554 year: 2013 end-page: 1565 ident: bb0135 article-title: Optimization of CO2 capture from flue gas with promoted potassium carbonate solutions publication-title: Energy Procedia – ident: bb0625 article-title: What is carbon capture, utilization and storage (CCUS)? – volume: 60 start-page: 30 year: 2018 end-page: 43 ident: bb1770 article-title: Application of soft computing techniques to multiphase flow measurement: a review publication-title: Flow Meas. Instrum. – volume: 215 year: 2021 ident: bb1450 article-title: A machine learning approach for modeling and optimization of a CO2 post-combustion capture unit publication-title: Energy – reference: Middleton, R.S., Yaw, S.P., Hoover, B.A., Ellett, K.M., 2020b. SimCCS: an open-source tool for optimizing CO2 capture, transport, and storage infrastructure. Environ. Model. \& Softw. 124, 104560. – volume: 18 start-page: 230 year: 2013 end-page: 240 ident: bb0185 article-title: Key issues and options in accounting for carbon sequestration and temporary storage in life cycle assessment and carbon footprinting publication-title: Int. J. Life Cycle Assess. – volume: 92 start-page: 36 year: 2014 end-page: 46 ident: bb1020 article-title: Modelling three-phase releases of carbon dioxide from high-pressure pipelines publication-title: Process. Saf. Environ. Prot. – volume: 5 start-page: 1 year: 2014 end-page: 7 ident: bb1460 article-title: Made-to-order metal-organic frameworks for trace carbon dioxide removal and air capture publication-title: Nat. Commun. – volume: 37 start-page: 806 year: 2013 end-page: 812 ident: bb0500 article-title: Effect of CO2 purity on energy requirement of CO2 capture processes publication-title: Energy Procedia – volume: 97 start-page: 1048 year: 2019 end-page: 1076 ident: bb0025 article-title: Current situation of carbon dioxide capture, storage, and enhanced oil recovery in the oil and gas industry publication-title: Can. J. Chem. Eng. – volume: 148 start-page: 212 year: 2009 end-page: 220 ident: bb0205 article-title: Surface science perspective of carbon dioxide chemistry—adsorption kinetics and dynamics of CO2 on selected model surfaces publication-title: Catal. Today – volume: 117 start-page: 9524 year: 2017 end-page: 9593 ident: bb1780 article-title: Computational modeling and simulation of CO2 capture by aqueous amines publication-title: Chem. Rev. – volume: 52 start-page: 10236 year: 2013 end-page: 10243 ident: bb1190 article-title: Optimization of CO2 capture process with aqueous amines: a comparison of two simulation–optimization approaches publication-title: Ind. Eng. Chem. Res. – reference: Liu, M., Hohenshil, A., Gadikota, G., 2021. Integrated CO2 capture and removal via carbon mineralization with inherent regeneration of aqueous solvents. Energy \& Fuels 35, 8051–8068. – volume: 76 start-page: 71 year: 2004 end-page: 79 ident: bb0565 article-title: An experimental adsorbent screening study for CO2 removal from N2 publication-title: Microporous Mesoporous Mater. – start-page: 164 year: 2017 end-page: 171 ident: bb0810 article-title: A machine learning approach to enhanced oil recovery prediction publication-title: International Conference on Analysis of Images, Social Networks and Texts. – volume: 58 start-page: 565 year: 2016 end-page: 573 ident: bb1010 article-title: LCA databases focused on construction materials: a review publication-title: Renew. Sust. Energ. Rev. – volume: 103 start-page: 286 year: 2015 end-page: 300 ident: bb0760 article-title: Membrane-based carbon capture from flue gas: a review publication-title: J. Clean. Prod. – reference: Padurean, A., Cormos, C.-C., Agachi, P.-S., 2012. Pre-combustion carbon dioxide capture by gas–liquid absorption for Integrated Gasification Combined Cycle power plants. Int. J. Greenh. Gas Control 7, 1–11. – volume: 7 start-page: 47 year: 2002 end-page: 52 ident: bb1395 article-title: How LCA studies deal with uncertainty publication-title: Int. J. Life Cycle Assess. – volume: 89 start-page: 1600 year: 2011 end-page: 1608 ident: bb0765 article-title: Modelling reactive absorption of CO2 in packed columns for post-combustion carbon capture applications publication-title: Chem. Eng. Res. Des. – volume: 224 year: 2020 ident: bb1205 article-title: Modelling of a pressure swing adsorption unit by deep learning and artificial Intelligence tools publication-title: Chem. Eng. Sci. – start-page: 1 year: 2019 end-page: 4 ident: bb0840 article-title: Feature image-based automatic modulation classification method using CNN algorithm publication-title: 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) – volume: 3 start-page: 11 year: 2023 ident: bb1690 article-title: The role of machine learning in carbon neutrality: catalyst property prediction, design, and synthesis for carbon dioxide reduction publication-title: eScience – volume: 9 start-page: 20 year: 2019 ident: bb0400 article-title: A life cycle assessment of two residential buildings using two different LCA database-software combinations: recognizing uniformities and inconsistencies publication-title: Buildings – volume: 14 start-page: 336 year: 2021 ident: bb0600 article-title: Life cycle assessment of cross-laminated timber transportation from three origin points publication-title: Sustainability – ident: bb1150 article-title: Carbon capture, utilization and storage strategy – ident: bb0635 article-title: Accelerating climate change mitigation with machine learning: the case of carbon storage – volume: 90 start-page: 1543 year: 2009 end-page: 1549 ident: bb0950 article-title: Thermodynamics and regeneration of CO2 adsorption on mesoporous spherical-silica particles publication-title: Fuel Process. Technol. – ident: bb1495 article-title: CCUS: status and priorities for research and development – year: 2004 ident: bb0590 article-title: A Review of Approaches to Treat Uncertainty in LCA – volume: 17 start-page: 332 year: 2013 end-page: 340 ident: bb1640 article-title: Direct CO2 capture from ambient air using K2CO3/Al2O3 composite sorbent publication-title: Int. J. Greenh. Gas Control – volume: 4 start-page: 1 year: 2022 end-page: 42 ident: bb0560 article-title: Review of carbon-dioxide storage potential in Western Canada: blue hydrogen roadmap to 2050 publication-title: Transit. Accel. Reports – reference: Leonzio, G., Foscolo, P.U., Zondervan, E., 2019b. Sustainable utilization and storage of carbon dioxide: analysis and design of an innovative supply chain. Comput. \& Chem. Eng. 131, 106569. – volume: 114 start-page: 2658 year: 2017 end-page: 2670 ident: bb0945 article-title: A compararitive review of next-generation carbon capture technologies for coal-fired power plant publication-title: Energy Procedia – volume: 277 year: 2020 ident: bb0925 article-title: Evaluation of CO2 sequestration capacity in complex-boundary-shape shale gas reservoirs using projection-based embedded discrete fracture model (pEDFM) publication-title: Fuel – volume: 142 start-page: 20273 year: 2020 end-page: 20287 ident: bb1100 article-title: The role of machine learning in the understanding and design of materials publication-title: J. Am. Chem. Soc. – volume: 183 start-page: 1633 year: 2016 end-page: 1663 ident: bb1580 article-title: Review of pre-combustion capture and ionic liquid in carbon capture and storage publication-title: Appl. Energy – ident: bb0665 article-title: Artificial intelligence, machine learning, and data analytics at NETL – volume: 4 start-page: 1158 year: 2016 end-page: 1170 ident: bb0385 article-title: Combined calcium looping and chemical looping combustion for post-combustion carbon dioxide capture: process simulation and sensitivity analysis publication-title: Energ. Technol. – volume: 14 start-page: 6122 year: 2021 end-page: 6157 ident: bb1775 article-title: Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)—a state-of-the-art review publication-title: Energy Environ. Sci. – volume: 12 start-page: 687 year: 2021 end-page: 697 ident: bb0345 article-title: Noble-metal-free heterojunction photocatalyst for selective CO2 reduction to methane upon induced strain relaxation publication-title: ACS Catal. – reference: Su, Y., Li, J., Yu, B., Zhao, Y., Yao, J., 2021. Fast and accurate prediction of failure pressure of oil and gas defective pipelines using the deep learning model. Reliab. Eng. \& Syst. Saf. 216, 108016. – volume: 30 start-page: 6325 year: 2018 end-page: 6337 ident: bb0085 article-title: Role of pore chemistry and topology in the CO2 capture capabilities of MOFs: from molecular simulation to machine learning publication-title: Chem. Mater. – volume: 30 start-page: 255 year: 2019 end-page: 274 ident: bb1330 article-title: Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions publication-title: J. Intell. Manuf. – volume: 3 start-page: 97 year: 2021 ident: bb0420 article-title: Survey on research of RNN-based spatio-temporal sequence prediction algorithms publication-title: J. Big Data – ident: bb0485 – start-page: 12018 year: 2022 ident: bb0720 article-title: A new approach for storage capacity and allowable injection time calculation in carbon capture and storage (CCS) reservoir publication-title: IOP Conference Series: Earth and Environmental Science – volume: 2 year: 2020 ident: bb1390 article-title: Life cycle assessment of carbon capture and utilization for the production of large volume organic chemicals publication-title: Front. Clim. – volume: 210 start-page: 271 year: 2012 end-page: 279 ident: bb1575 article-title: A kinetic and process modeling study of CO2 capture with MEA-promoted potassium carbonate solutions publication-title: Chem. Eng. J. – volume: 22 start-page: 25 year: 2014 end-page: 46 ident: bb0795 article-title: Improved cost models for optimizing CO2 pipeline configuration for point-to-point pipelines and simple networks publication-title: Int. J. Greenh. Gas Control – volume: 8 start-page: 960 year: 2020 ident: bb0860 article-title: Optimization of CCUS supply chains for some European countries under the uncertainty publication-title: Processes – volume: 11 start-page: 4481 year: 2020 ident: bb1925 article-title: Enhanced carbon dioxide conversion at ambient conditions via a pore enrichment effect publication-title: Nat. Commun. – start-page: 1 year: 2015 end-page: 28 ident: bb1250 article-title: Pre-combustion carbon capture publication-title: Handb. Clean Energy Syst. – volume: 114 start-page: 74 year: 2008 end-page: 81 ident: bb1855 article-title: Promoting the CO2 adsorption in the amine-containing SBA-15 by hydroxyl group publication-title: Microporous Mesoporous Mater. – volume: 12 start-page: 315 year: 2018 end-page: 325 ident: bb0360 article-title: Mature versus emerging technologies for CO 2 capture in power plants: key open issues in post-combustion amine scrubbing and in chemical looping combustion publication-title: Front. Chem. Sci. Eng. – reference: Miller, D.C., Agarwal, D., Bhattacharyya, D., Boverhof, J., Chen, Y., Eslick, J., Leek, J., Ma, J., Mahapatra, P., Ng, B., others, 2017. Innovative computational tools and models for the design, optimization and control of carbon capture processes. Process Syst. Mater. CO2 Capture Model. Des. Control Integr311–342. – volume: 322 year: 2022 ident: bb0935 article-title: Investment decision on carbon capture and utilization (CCU) technologies—a real option model based on technology learning effect publication-title: Appl. Energy – volume: 10 start-page: 249 year: 2020 end-page: 264 ident: bb0920 article-title: A numerical study on the non-isothermal flow characteristics and hydrate risk of CO2 in buried transmission pipelines under the gas-phase transportation mode publication-title: Greenh. Gases Sci. Technol. – volume: 10 start-page: 36766 year: 2022 end-page: 36777 ident: bb1760 article-title: Image enhancement algorithm based on GAN neural network publication-title: IEEE Access – year: 2021 ident: bb0050 article-title: 4 Steps to Using AI in an Environmentally Responsible Way – year: 2022 ident: bb0980 article-title: AI Is Essential for Solving the Climate Crisis – volume: 205 start-page: 222 year: 2012 end-page: 228 ident: bb1355 article-title: Recovery comparisons—hot nitrogen vs steam regeneration of toxic dichloromethane from activated carbon beds in oil sands process publication-title: J. Hazard. Mater. – volume: 97 start-page: 7 year: 2015 end-page: 19 ident: bb1320 article-title: Flexible dynamic operation of solar-integrated power plant with solvent based post-combustion carbon capture (PCC) process publication-title: Energy Convers. Manag. – volume: 7 start-page: 1201 year: 2021 end-page: 1211 ident: bb0375 article-title: Machine learning in chemical engineering: strengths, weaknesses, opportunities, and threats publication-title: Engineering – start-page: 142 year: 2018 end-page: 163 ident: bb1625 article-title: Solvents for carbon dioxide capture publication-title: Carbon Dioxide Chem. Capture Oil Recover. – volume: 264 year: 2020 ident: bb1810 article-title: Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects publication-title: Fuel – reference: Ben-Mansour, R., Habib, M.A., Bamidele, O.E., Basha, M., Qasem, N.A.A., Peedikakkal, A., Laoui, T., Ali, M., 2016. Carbon capture by physical adsorption: materials, experimental investigations and numerical modeling and simulations—a review. Appl. Energy 161, 225–255. – volume: 141 start-page: 11651 year: 2019 end-page: 11657 ident: bb0275 article-title: Identifying active sites for CO2 reduction on dealloyed gold surfaces by combining machine learning with multiscale simulations publication-title: J. Am. Chem. Soc. – reference: De Guido, G., Pellegrini, L.A., 2022. Calculation of solid-vapor equilibria for cryogenic carbon capture. Comput. \& Chem. Eng. 156, 107569. – year: 2023 ident: bb1125 article-title: Carbon Capture, Utilization and Storage (CCUS) Technology Gaps and International Collaboration – volume: 225 start-page: 332 year: 2018 end-page: 345 ident: bb0270 article-title: Geologic CO2 sequestration monitoring design: a machine learning and uncertainty quantification based approach publication-title: Appl. Energy – volume: 307 start-page: 18 year: 2022 ident: bb1790 article-title: A systematic review of the molecular simulation of hybrid membranes for performance enhancements and contaminant removals publication-title: Chemosphere – volume: 2 start-page: 990 year: 1996 end-page: 1007 ident: bb0435 article-title: What Monte Carlo methods cannot do publication-title: Hum. Ecol. Risk Assess. An Int. J. – volume: 263 year: 2020 ident: bb1585 article-title: Environmental impacts of CO2-based chemical production: a systematic literature review and meta-analysis publication-title: Appl. Energy – volume: 47 year: 2021 ident: bb1155 article-title: A CFD study of a direct solar-driven desorption process for carbon capture under transient conditions publication-title: Sustain. Energy Technol. Assessments – start-page: 5016 year: 2015 end-page: 5021 ident: bb1420 article-title: Investigating the impact of Cryogenic Carbon Capture on power plant performance publication-title: 2015 American Control Conference (ACC) – start-page: 657 year: 2019 end-page: 697 ident: bb1515 article-title: Chapter 15 - hydrogen production publication-title: Heavy Oil Recovery and Upgrading – volume: 36 start-page: 367 year: 2008 end-page: 380 ident: bb1195 article-title: Life cycle GHG assessment of fossil fuel power plants with carbon capture and storage publication-title: Energy Policy – start-page: 1 year: 2022 end-page: 15 ident: bb0535 article-title: The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective publication-title: JOM – ident: bb0655 article-title: Global status of CCS 2021 – volume: 12 year: 2022 ident: bb0290 article-title: Artificial intelligence for climate change adaptation. Wiley Interdiscip. Rev publication-title: Data Min. Knowl. Disc. – volume: 215 start-page: 371 year: 2016 end-page: 379 ident: bb1115 article-title: Atmospheric CO2 capture by algae: negative carbon dioxide emission path publication-title: Bioresour. Technol. – volume: 3 start-page: 1557 year: 2018 end-page: 1561 ident: bb1290 article-title: Reduction of CO2 to chemicals and fuels: a solution to global warming and energy crisis publication-title: ACS Energy Lett. – volume: 51 start-page: 345 year: 2006 end-page: 351 ident: bb1465 article-title: Facilitated transport of carbon dioxide through poly (2-N, N-dimethyl aminoethyl methacrylate-co-acrylic acid sodium) membrane publication-title: Sep. Purif. Technol. – year: 2022 ident: bb0180 article-title: CO2 AI by BCG and CDP to launch the tech platform of reference to enable the exchange of Scope 3 data and accelerate decarbonization within ecosystems – year: 2022 ident: bb0225 article-title: Rapid detection of super-emitters utilizing an iot-enabled continuous methane emissions monitoring system, in: SPE Annual Technical Conference and Exhibition – volume: 4 start-page: 628 year: 2011 end-page: 635 ident: bb0300 article-title: Amine-tethered solid adsorbents coupling high adsorption capacity and regenerability for CO2 capture from ambient air publication-title: ChemSusChem – volume: 6 start-page: 3528 year: 2015 end-page: 3533 ident: bb0975 article-title: Machine-learning-augmented chemisorption model for CO2 electroreduction catalyst screening publication-title: J. Phys. Chem. Lett. – volume: 8 start-page: 92 year: 2020 ident: bb0780 article-title: Techno-economic assessment for CO2 capture from air using a conventional liquid-based absorption process publication-title: Front. Energy Res. – volume: 657 start-page: 56 year: 2019 end-page: 72 ident: bb1715 article-title: Outlook of carbon capture technology and challenges publication-title: Sci. Total Environ. – reference: Hong, W.Y., 2022. A techno-economic review on carbon capture, utilisation and storage systems for achieving a net-zero CO2 emissions future. Carbon Capture Sci. \& Technol. 100044. – volume: 378 start-page: 686 year: 2019 end-page: 707 ident: bb3000 article-title: Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations publication-title: J. Comput. Phys. – volume: 90 start-page: 244 year: 2015 end-page: 257 ident: bb0430 article-title: Design and analysis of the natural gas liquefaction optimization process-CCC-ES (energy storage of cryogenic carbon capture) publication-title: Energy – ident: bb1165 article-title: SMART Initiative – volume: 52 start-page: 305 year: 2016 end-page: 318 ident: bb1865 article-title: Comparative evaluation of CO2 capture from flue gas by [Emim][Ac] ionic liquid, aqueous potassium carbonate (without activator) and MEA solutions in a packed column publication-title: Int. J. Greenh. Gas Control – volume: 195 start-page: 80 year: 2017 end-page: 92 ident: bb0080 article-title: Optimum design of CO2 storage and oil recovery under geological uncertainty publication-title: Appl. Energy – volume: 53 start-page: 371 year: 2016 end-page: 390 ident: bb0095 article-title: Optimization of multi-stage membrane systems for CO2 capture from flue gas publication-title: Int. J. Greenh. Gas Control – volume: 279 year: 2021 ident: bb0285 article-title: Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning publication-title: Chemosphere – volume: 42 start-page: 8046 year: 2008 end-page: 8054 ident: bb1025 article-title: CFD and Gaussian atmospheric dispersion models: a comparison for leak from carbon dioxide transportation and storage facilities publication-title: Atmos. Environ. – reference: Iyer, G.C., Edmonds, J.A., Fawcett, A.A., Hultman, N.E., Alsalam, J., Asrar, G.R., Calvin, K. V, Clarke, L.E., Creason, J., Jeong, M., others, 2015. The contribution of Paris to limit global warming to 2 C. Environ. Res. Lett. 10, 125002. – volume: 19 start-page: 530 year: 2013 end-page: 540 ident: bb1230 article-title: Process integration of a Ca-looping carbon capture process in a cement plant publication-title: Int. J. Greenh. Gas Control – volume: 790 year: 2021 ident: bb1415 article-title: Current and future perspectives on catalytic-based integrated carbon capture and utilization publication-title: Sci. Total Environ. – year: 2010 ident: bb0160 article-title: Modeling CO2 storage using coupled reservoir-geomechanical analysis publication-title: COMSOL Conf – volume: 308 year: 2022 ident: bb1765 article-title: A review on the progress and prospects of oxy-fuel carbon capture and sequestration (CCS) technology publication-title: Fuel – start-page: 1 year: 2022 end-page: 24 ident: bb0465 article-title: Advances in application of machine learning to life cycle assessment: a literature review publication-title: Int. J. Life Cycle Assess. – volume: 35 start-page: 117 year: 2014 end-page: 140 ident: bb1740 article-title: Analysis of pipeline transportation systems for carbon dioxide sequestration publication-title: Arch. Thermodyn. – volume: 5 start-page: 3973 year: 2017 end-page: 3982 ident: bb0960 article-title: Design of a rapid vacuum pressure swing adsorption (RVPSA) process for post-combustion CO2 capture from a biomass-fuelled CHP plant publication-title: J. Environ. Chem. Eng. – year: 2019 ident: bb1095 article-title: NCCS-Annual Report 2019 – volume: 63 start-page: 1055 year: 2014 end-page: 1063 ident: bb0405 article-title: A framework for optimization and quantification of uncertainty and sensitivity for developing carbon capture systems publication-title: Energy Procedia – volume: 8 start-page: 1144 year: 2020 ident: bb1480 article-title: CO2 utilization via integration of an industrial post-combustion capture process with a urea plant: process modelling and sensitivity analysis publication-title: Processes – volume: 336 start-page: 659 year: 2018 end-page: 668 ident: bb1910 article-title: Synthesis of a novel hybrid adsorbent which combines activated carbon and zeolite NaUSY for CO2 capture by electric swing adsorption (ESA) publication-title: Chem. Eng. J. – volume: 48 start-page: 1761 year: 2007 end-page: 1767 ident: bb1315 article-title: ECO2N—a fluid property module for the TOUGH2 code for studies of CO2 storage in saline aquifers publication-title: Energy Convers. Manag. – volume: 1 start-page: 1219 year: 2009 end-page: 1225 ident: bb0510 article-title: Electric swing adsorption as emerging CO2 capture technique publication-title: Energy Procedia – volume: 5 start-page: 121 year: 2020 end-page: 122 ident: bb1725 article-title: An electro-swing approach. Nat publication-title: Energy – volume: 91 start-page: 2721 year: 2013 end-page: 2731 ident: bb1215 article-title: Planning of carbon capture and storage with pinch analysis techniques publication-title: Chem. Eng. Res. Des. – reference: Fang, M., Xiang, Q., Wang, T., Le Moullec, Y., Lu, J., Jiang, W., Zhou, X., Zhang, J., Chen, G., 2014. Experimental study on the novel direct steam stripping process for postcombustion CO2 capture. Ind. \& Eng. Chem. Res. 53, 18054–18062. – reference: Han, J.-H., Lee, I.-B., 2011. Development of a scalable and comprehensive infrastructure model for carbon dioxide utilization and disposal. Ind. \& Eng. Chem. Res. 50, 6297–6315. – ident: bb0630 article-title: Decarbonisation technology – reference: Leonzio, G., Foscolo, P.U., Zondervan, E., 2019a. An outlook towards 2030: optimization and design of a CCUS supply chain in Germany. Comput. Chem. Eng. 125, 499–513. – volume: 761 year: 2021 ident: bb1720 article-title: Progress in carbon capture technologies publication-title: Sci. Total Environ. – volume: 3 start-page: 66 year: 2013 end-page: 83 ident: bb1030 article-title: Simulation-based estimates of safety distances for pipeline transportation of carbon dioxide publication-title: Greenh. Gases Sci. Technol. – reference: Shabani, B., Vilcáez, J., 2018. A fast and robust TOUGH2 module to simulate geological CO2 storage in saline aquifers. Comput. \& Geosci. 111, 58–66. – volume: 181 start-page: 271 year: 2018 end-page: 292 ident: bb1560 article-title: Life cycle environmental and economic analysis of pulverized coal oxy-fuel combustion combining with calcium looping process or chemical looping air separation publication-title: J. Clean. Prod. – volume: 239 start-page: 75 year: 2014 end-page: 86 ident: bb1340 article-title: CO2 capture performance of HKUST-1 in a sound assisted fluidized bed publication-title: Chem. Eng. J. – volume: 30 start-page: 9 year: 2014 end-page: 18 ident: bb0190 article-title: Modelling the non-equilibrium two-phase flow during depressurisation of CO2 pipelines publication-title: Int. J. Greenh. Gas Control – volume: 62 start-page: 46 year: 2017 end-page: 60 ident: bb1870 article-title: Post-combustion CO2 capture using [Emim][Ac] ionic liquid, piperazine activated N-methyldiethanolamine and promoted K2CO3 in a bench scale publication-title: Int. J. Greenh. Gas Control – reference: Zhang, N., Yang, B., Liu, K., Li, H., Chen, G., Qiu, X., Li, W., Hu, J., Fu, J., Jiang, Y., others, 2021. Machine Learning in screening high performance electrocatalysts for CO2 reduction. Small Methods 5, 2100987. – year: 2020 ident: bb0320 article-title: Reimagining industrial operations – volume: 241 year: 2020 ident: bb1245 article-title: Experimentally validated machine learning frameworks for accelerated prediction of cyclic steady state and optimization of pressure swing adsorption processes publication-title: Sep. Purif. Technol. – reference: Burns, T.D., Pai, K.N., Subraveti, S.G., Collins, S.P., Krykunov, M., Rajendran, A., Woo, T.K., 2020. Prediction of MOF performance in vacuum swing adsorption systems for postcombustion CO2 capture based on integrated molecular simulations, process optimizations, and machine learning models. Environ. Sci. \& Technol. 54, 4536–4544. – volume: 15 start-page: 16 year: 2013 end-page: 31 ident: bb1000 article-title: A new simplified pressure/vacuum swing adsorption model for rapid adsorbent screening for CO2 capture applications publication-title: Int. J. Greenh. Gas Control – volume: 9 year: 1996 ident: bb1620 article-title: Support vector method for function approximation, regression estimation and signal processing publication-title: Adv. Neural Inf. Proces. Syst. – volume: 7 start-page: 230 year: 2002 end-page: 236 ident: bb1035 article-title: Using Monte Carlo simulation in life cycle assessment for electric and internal combustion vehicles publication-title: Int. J. Life Cycle Assess. – year: 2008 ident: bb0610 article-title: A Predictive Thermodynamic Model for an Aqueous Blend of Potassium Carbonate, Piperazine, and Monoethanolamine for Carbon Dioxide Capture From Flue Gas – volume: 21 start-page: 162 year: 2017 end-page: 168 ident: bb1635 article-title: Predicting CO2 capture of ionic liquids using machine learning publication-title: J. CO2 Util. – volume: 32 year: 2020 ident: bb0525 article-title: Progress in computational and machine-learning methods for heterogeneous small-molecule activation publication-title: Adv. Mater. – volume: 104 start-page: 110 year: 2015 end-page: 124 ident: bb1930 article-title: Comparison of carbon capture IGCC with chemical-looping combustion and with calcium-looping process driven by coal for power generation publication-title: Chem. Eng. Res. Des. – reference: Gibson, J.A.A., Mangano, E., Shiko, E., Greenaway, A.G., Gromov, A. V, Lozinska, M.M., Friedrich, D., Campbell, E.E.B., Wright, P.A., Brandani, S., 2016. Adsorption materials and processes for carbon capture from gas-fired power plants: AMPGas. Ind. \& Eng. Chem. Res. 55, 3840–3851. – volume: 25 start-page: 168 year: 2020 end-page: 180 ident: bb0120 article-title: Comparing sources and analysis of uncertainty in consequential and attributional life cycle assessment: review of current practice and recommendations publication-title: Int. J. Life Cycle Assess. – year: 2023 ident: bb0985 article-title: Carbon Removals: How to Scale a New Gigaton Industry – volume: 340 start-page: 23 year: 2005 end-page: 33 ident: bb0940 article-title: Quantifying and reducing uncertainty in life cycle assessment using the Bayesian Monte Carlo method publication-title: Sci. Total Environ. – volume: 124 start-page: 367 year: 2014 end-page: 380 ident: bb1375 article-title: Carbon dioxide sequestration in saline formations: part I—review of the modeling of solubility trapping publication-title: J. Pet. Sci. Eng. – volume: 21 start-page: 1218 year: 2016 end-page: 1230 ident: bb1710 article-title: The ecoinvent database version 3 (part I): overview and methodology publication-title: Int. J. Life Cycle Assess. – volume: 13 start-page: 5289 year: 2020 ident: bb1300 article-title: Methods to optimize carbon footprint of buildings in regenerative architectural design with the use of machine learning, convolutional neural network, and parametric design publication-title: Energies – volume: 44 start-page: 4475 year: 2020 end-page: 4492 ident: bb1755 article-title: Machine learning-based optimization for hydrogen purification performance of layered bed pressure swing adsorption publication-title: Int. J. Energy Res. – volume: 10 start-page: 1303 year: 2017 end-page: 1317 ident: bb1270 article-title: Carbon dioxide capture adsorbents: chemistry and methods publication-title: ChemSusChem – start-page: 1 year: 2011 end-page: 5 ident: bb0265 article-title: BP neural network prediction of calcium-based sorbent calcination/carbonation cycle publication-title: 2011 Asia-Pacific Power and Energy Engineering Conference – volume: 764 year: 2021 ident: bb0015 article-title: A brief review for chemical looping combustion as a promising CO2 capture technology: fundamentals and progress publication-title: Sci. Total Environ. – volume: 2 start-page: 20 year: 2021 end-page: 30 ident: bb0570 article-title: A review of principal component analysis algorithm for dimensionality reduction publication-title: J. Soft Comput. Data Min. – year: 2007 ident: bb0910 article-title: Numerical modelling of CO2 sequestration in coal-beds with variable saturation on COMSOL publication-title: Presentation Material From the COMSOL Conference – volume: 11 start-page: 25 year: 2023 ident: bb0055 article-title: Machine learning-assisted selection of adsorption-based carbon dioxide capture materials publication-title: J. Environ. Chem. Eng. – volume: 2 year: 2020 ident: bb1175 article-title: Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models publication-title: Energy AI – volume: 627 year: 2021 ident: bb1845 article-title: Imputation of missing gas permeability data for polymer membranes using machine learning publication-title: J. Membr. Sci. – volume: 122 start-page: 388 year: 2019 end-page: 405 ident: bb1325 article-title: Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning publication-title: Expert Syst. Appl. – volume: 51 start-page: 609 year: 2016 end-page: 626 ident: bb0615 article-title: Carbon dioxide capture by adsorption publication-title: J. Chem. Technol. Metall. – volume: 210 year: 2022 ident: bb0890 article-title: A well rate prediction method based on LSTM algorithm considering manual operations publication-title: J. Pet. Sci. Eng. – year: 2011 ident: bb1735 article-title: Parallel simulation of CO2 sequestration with rock deformation in saline aquifers publication-title: SPE Reservoir Simulation Symposium – volume: 6 start-page: 831 year: 2017 end-page: 842 ident: bb0875 article-title: In silico prediction of pesticide aquatic toxicity with chemical category approaches publication-title: Toxicol. Res. (Camb.) – reference: Zhang, S., Zhuang, Y., Liu, L., Zhang, L., Du, J., 2020. Optimization-based approach for CO2 utilization in carbon capture, utilization and storage supply chain. Comput. \& Chem. Eng. 139, 106885. – volume: 877 year: 2023 ident: bb1905 article-title: Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: implications for carbon capture utilization and storage publication-title: Sci. Total Environ. – volume: 888 year: 2023 ident: bb0115 article-title: Business model and supporting policies for projects to implement carbon capture and power-to-gas technologies publication-title: Sci. Total Environ. – volume: 4 start-page: 2301 year: 2011 end-page: 2307 ident: bb1085 article-title: Modelling of accidental releases from a high pressure CO2 pipelines publication-title: Energy Procedia – reference: Park, J., Suh, B.L., Kim, J., 2020. Computational design of a photoresponsive metal–organic framework for post combustion carbon capture. J. Phys. Chem. C 124, 13162–13167. – volume: 4 start-page: 336 year: 2018 end-page: 342 ident: bb0315 article-title: Carbon sequestration through CO2 foam-enhanced oil recovery: a green chemistry perspective publication-title: Engineering – volume: 39 start-page: 426 year: 2014 end-page: 443 ident: bb0865 article-title: An overview of current status of carbon dioxide capture and storage technologies publication-title: Renew. Sust. Energ. Rev. – ident: bb1040 article-title: Can CO2-EOR really provide carbon-negative oil? – volume: 222 start-page: 711 year: 2018 end-page: 717 ident: bb0100 article-title: Calcium looping performance under extreme oxy-fuel combustion conditions in the calciner publication-title: Fuel – reference: Zhan, J., Wang, B., Zhang, L., Sun, B.-C., Fu, J., Chu, G., Zou, H., 2020. Simultaneous absorption of H2S and CO2 into the MDEA+ PZ aqueous solution in a rotating packed bed. Ind. \& Eng. Chem. Res. 59, 8295–8303. – reference: Liu, P., Zhang, X., 2015. Enhanced oil recovery by CO2–CH4 flooding in low permeability and rhythmic hydrocarbon reservoir. Int. J. Hydrog. Energy 40, 12849–12853. – volume: 266 year: 2020 ident: bb0955 article-title: Carbon dioxide transport via pipelines: a systematic review publication-title: J. Clean. Prod. – volume: 2 start-page: 648 year: 2019 end-page: 658 ident: bb1400 article-title: Designing materials for electrochemical carbon dioxide recycling publication-title: Nat. Catal. – volume: 333 year: 2023 ident: bb1785 article-title: Application of machine learning in carbon capture and storage: an in-depth insight from the perspective of geoscience publication-title: Fuel – volume: 37 start-page: 618 year: 2013 end-page: 625 ident: bb0990 article-title: Chemical looping for pre-combustion CO2 capture—performance and cost analysis publication-title: Energy Procedia – volume: 2 year: 2021 ident: bb1350 article-title: Toward smart carbon capture with machine learning publication-title: Cell Reports Phys. Sci. – volume: 325 start-page: 1599 year: 2009 ident: bb0305 article-title: Carbon capture and sequestration publication-title: Science – volume: 90 start-page: 825 year: 2012 end-page: 832 ident: bb0370 article-title: Screening CO2/N2 selectivity in metal-organic frameworks using Monte Carlo simulations and ideal adsorbed solution theory publication-title: Can. J. Chem. Eng. – volume: 121 start-page: 17941 year: 2017 end-page: 17949 ident: bb0805 article-title: Kinetic Monte Carlo simulations of methanol synthesis from carbon dioxide and hydrogen on Cu (111) catalysts: statistical uncertainty study publication-title: J. Phys. Chem. C – volume: 196 year: 2020 ident: bb1750 article-title: Intelligent predictive control of large-scale solvent-based CO2 capture plant using artificial neural network and particle swarm optimization publication-title: Energy – volume: 15 start-page: 49 year: 2015 end-page: 56 ident: bb0830 article-title: Numerical modeling of supercritical CO2 leaks and its subsequent dispersion in the ambient air publication-title: Procedia IUTAM – year: 2017 ident: bb0580 article-title: Life Cycle Assessment: Theory and Practice – volume: 113 start-page: 770 year: 2013 end-page: 779 ident: bb1800 article-title: Modeling of the oxy-combustion calciner in the post-combustion calcium looping process publication-title: Fuel – volume: 6 start-page: 3203 year: 2021 ident: bb0090 article-title: autumn: a Python library for dynamic modelling of captured CO\~{ } 2\~{ } cost potential curves publication-title: J. Open Source Softw. – volume: 37 start-page: 6854 year: 2013 end-page: 6866 ident: bb0820 article-title: CO2 utilization from “next generation” CO2 enhanced oil recovery technology publication-title: Energy Procedia – volume: 61 start-page: 972 year: 2015 end-page: 980 ident: bb1675 article-title: Application of polyethylenimine-impregnated solid adsorbents for direct capture of low-concentration CO2 publication-title: AICHE J. – volume: 104 start-page: 882 year: 2013 end-page: 885 ident: bb0835 article-title: Improving regeneration properties of potassium-based alumina sorbents for carbon dioxide capture from flue gas publication-title: Fuel – ident: bb1425 article-title: Scientists use AI to improve sequestering carbon underground – volume: 2 start-page: 194 year: 2008 end-page: 202 ident: bb0505 article-title: Electric swing adsorption for CO2 removal from flue gases publication-title: Int. J. Greenh. Gas Control – reference: Müller, P., Bucior, B., Tuci, G., Luconi, L., Getzschmann, J., Kaskel, S., Snurr, R.Q., Giambastiani, G., Rossin, A., 2019. Computational screening, synthesis and testing of metal–organic frameworks with a bithiazole linker for carbon dioxide capture and its green conversion into cyclic carbonates. Mol. Syst. Des. \& Eng. 4, 1000–1013. – volume: 55 start-page: 166 year: 2016 end-page: 176 ident: bb0735 article-title: Consequence analysis of accidental release of supercritical carbon dioxide from high pressure pipelines publication-title: Int. J. Greenh. Gas Control – volume: 127 start-page: 186 year: 2021 end-page: 196 ident: bb0065 article-title: Towards improved genetic programming based-correlations for predicting the interfacial tension of the systems pure/impure CO2-brine publication-title: J. Taiwan Inst. Chem. Eng. – volume: 4 start-page: 69 year: 2013 end-page: 89 ident: bb0330 article-title: Part 7: a review of CO2 capture using hollow fiber membrane contactors publication-title: Carbon Manag. – volume: 26 start-page: 33732 year: 2019 end-page: 33746 ident: bb1370 article-title: Production of palm kernel shell-based activated carbon by direct physical activation for carbon dioxide adsorption publication-title: Environ. Sci. Pollut. Res. – volume: 160 start-page: 848 year: 2019 end-page: 855 ident: bb0540 article-title: Carbon capture and sequestration potential in India: a comprehensive review publication-title: Energy Procedia – start-page: 12036 year: 2023 ident: bb0250 article-title: Life cycle assessment of carbon capture, utilisation and storage technologies: an analytical review publication-title: IOP Conference Series: Earth and Environmental Science – volume: 13 start-page: 397 year: 2022 ident: bb0530 article-title: Carbon dioxide capture through physical and chemical adsorption using porous carbon materials: a review publication-title: Atmosphere (Basel) – year: 1990 ident: bb0815 article-title: Distributed Simulation of Hydromechanical Systems ‘Third Bath International Fluid Power Workshop’. Bath, UK – reference: Zhang, Z., Agarwal, R., 2013. Numerical simulation and optimization of CO2 sequestration in saline aquifers. Comput. \& Fluids 80, 79–87. – reference: Buelens, L.C., Poelman, H., Marin, G.B., Galvita, V. V, 2019. 110th anniversary: carbon dioxide and chemical looping: current research trends. Ind. \& Eng. Chem. Res. 58, 16235–16257. – reference: Orlov, A.A., Demenko, D.Y., Bignaud, C., Valtz, A., Marcou, G., Horvath, D., Coquelet, C., Varnek, A., de Meyer, F., 2021. Chemoinformatics-driven design of new physical solvents for selective CO2 absorption. Environ. Sci. \& Technol. 55, 15542–15553. – volume: 886 start-page: 9 year: 2023 ident: bb1310 article-title: Artificial intelligence enabled carbon capture: a review publication-title: Sci. Total Environ. – year: 2009 ident: bb1525 article-title: A System Model for Geologic Sequestration of Carbon Dioxide – volume: 81 start-page: 2563 year: 2018 end-page: 2583 ident: bb1210 article-title: A systematic review of key challenges of CO2 transport via pipelines publication-title: Renew. Sust. Energ. Rev. – start-page: 141 year: 2006 end-page: 144 ident: bb0785 article-title: Biosorption of heavy metals and cyanide complexes on biomass publication-title: Stud. Surf. Sci. Catal. – reference: Vembandasamy, K., Sasipriya, R., Deepa, E., 2015. Heart diseases detection using Naive Bayes algorithm. Int. J. Innov. Sci. Eng. \& Technol. 2, 441–444. – volume: 63 start-page: 2655 year: 2014 end-page: 2662 ident: bb0395 article-title: Multi-period least cost optimisation model of an integrated carbon dioxide capture transportation and storage infrastructure in the UK publication-title: Energy Procedia – reference: Yuan, X., Suvarna, M., Low, S., Dissanayake, P.D., Lee, K.B., Li, J., Wang, X., Ok, Y.S., 2021b. Applied machine learning for prediction of CO2 adsorption on biomass waste-derived porous carbons. Environ. Sci. \& Technol. 55, 11925–11936. – volume: 111 start-page: 548 year: 2016 end-page: 559 ident: bb1265 article-title: High-fidelity reservoir simulations of enhanced gas recovery with supercritical CO2 publication-title: Energy – volume: 10 start-page: 425 year: 2022 ident: bb0045 article-title: Dual benefits of enhanced oil recovery and CO2 sequestration: the impact of CO2 injection approach on oil recovery publication-title: Front. Energy Res. – year: 2020 ident: bb0350 article-title: How effective LDAR campaigns contribute to minimizing methane emissions, in: Abu Dhabi International Petroleum Exhibition and Conference – volume: 57 start-page: 10967 year: 2021 end-page: 10982 ident: bb1285 article-title: Reuse of CO 2 in energy intensive process industries publication-title: Chem. Commun. – reference: Zhu, Y., Chen, M., Yang, Q., Alshwaikh, M.J.M., Zhou, H., Li, J., Liu, Z., Zhao, H., Zheng, C., Bartocci, P., others, 2021. Life cycle water consumption for oxyfuel combustion power generation with carbon capture and storage. J. Clean. Prod. 281, 124419. – volume: 4 start-page: 2772 year: 2011 end-page: 2777 ident: bb1110 article-title: Optimal planning of CO2 transmission infrastructure: the JRC InfraCCS tool publication-title: Energy Procedia – volume: 4 start-page: 3040 year: 2011 end-page: 3047 ident: bb0900 article-title: Dynamic simulation of a carbon dioxide transfer pipeline for analysis of normal operation and failure modes publication-title: Energy Procedia – reference: Subraveti, S.G., Li, Z., Prasad, V., Rajendran, A., 2019. Machine learning-based multiobjective optimization of pressure swing adsorption. Ind. \& Eng. Chem. Res. 58, 20412–20422. – year: 2021 ident: bb1075 article-title: 11 examples of AI climate change solutions for zero carbon publication-title: Forbes – volume: 68 start-page: 269 year: 2018 end-page: 275 ident: bb1685 article-title: Mass flow measurement of gas-liquid two-phase CO2 in CCS transportation pipelines using Coriolis flowmeters publication-title: Int. J. Greenh. Gas Control – volume: 183 start-page: 291 year: 2019 end-page: 304 ident: bb0255 article-title: Characterization of CO2 storage and enhanced oil recovery in residual oil zones publication-title: Energy – reference: Ramdin, M., de Loos, T.W., Vlugt, T.J.H., 2012. State-of-the-art of CO2 capture with ionic liquids. Ind. \& Eng. Chem. Res. 51, 8149–8177. – ident: bb0645 article-title: FLExible Carbon Capture and Storage (FLECCS) – volume: 15 year: 2023 ident: bb1045 article-title: A review of conventional versus additive manufacturing for metals: life-cycle environmental and economic analysis publication-title: Sustainability – volume: 118 start-page: 7369 year: 2014 end-page: 7376 ident: bb1745 article-title: Fluorine-modified porous graphene as membrane for CO2/N2 separation: molecular dynamic and first-principles simulations publication-title: J. Phys. Chem. C – volume: 17 start-page: 399 year: 2006 end-page: 413 ident: bb0605 article-title: Two-phase flow metering of heavy oil using a Coriolis mass flow meter: a case study publication-title: Flow Meas. Instrum. – start-page: 69 year: 2019 end-page: 77 ident: bb1220 article-title: Uncertainty information in LCI-databases and its propagation through an LCA Model publication-title: Prog. Life Cycle Assess. – volume: 81 start-page: 2 year: 2015 end-page: 21 ident: bb0575 article-title: A multi-scale framework for CO2 capture, utilization, and sequestration: CCUS and CCU publication-title: Comput. Chem. Eng. – volume: 314 year: 2022 ident: bb1570 article-title: Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers publication-title: Appl. Energy – reference: Graupner, B.J., Li, D., Bauer, S., 2011. The coupled simulator ECLIPSE–OpenGeoSys for the simulation of CO2 storage in saline formations. Energy Procedia 4, 3794–3800. – volume: 359 start-page: 140 year: 2010 end-page: 148 ident: bb0690 article-title: A feasibility study of CO2 capture from flue gas by a facilitated transport membrane publication-title: J. Membr. Sci. – year: 1997 ident: bb1410 article-title: Solar Photocatalytic Conversion of CO2 to Methanol – volume: 131 start-page: 265 year: 2019 end-page: 269 ident: bb1890 article-title: Prediction of carbon dioxide adsorption via deep learning publication-title: Angew. Chem. – volume: 803 year: 2022 ident: bb0005 article-title: Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: a comprehensive review and outlook publication-title: Sci. Total Environ. – volume: 130 start-page: 23 year: 2022 end-page: 34 ident: bb1180 article-title: Earth for AI: a political ecology of data-driven climate initiatives publication-title: Geoforum – volume: 31 start-page: 2157 year: 2013 end-page: 2165 ident: bb1305 article-title: A review of the potential for CO2 sequestration and enhanced gas recovery in an Iranian gas condensate reservoir from a fluid properties point of view publication-title: Pet. Sci. Technol. – reference: Agrawal, M., Eloot, K., Mancini, M., Patel, A., 2020. Industry 4.0: Reimagining Manufacturing Operations After COVID-19. McKinsey \& Co. 1–11. – reference: Gholidoust, A., Atkinson, J.D., Hashisho, Z., 2017. Enhancing CO2 adsorption via amine-impregnated activated carbon from oil sands coke. Energy \& Fuels 31, 1756–1763. – volume: 1 start-page: 211 year: 2011 end-page: 222 ident: bb0905 article-title: Parameters affecting mineral trapping of CO2 sequestration in brines publication-title: Greenh. Gases Sci. Technol. – volume: 124 start-page: 22471 year: 2020 end-page: 22478 ident: bb0280 article-title: A machine learning model on simple features for CO2 reduction electrocatalysts publication-title: J. Phys. Chem. C – volume: 480 start-page: 39 year: 2015 end-page: 46 ident: bb0040 article-title: Prediction of plasticization pressure of polymeric membranes for CO2 removal from natural gas publication-title: J. Membr. Sci. – reference: Rolnick, D., Donti, P.L., Kaack, L.H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A.S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., others, 2022. Tackling climate change with machine learning. ACM Comput. Surv. 55, 1–96. – volume: 94 year: 2020 ident: bb1455 article-title: Dynamic measurement of gas volume fraction in a CO2 pipeline through capacitive sensing and data driven modelling publication-title: Int. J. Greenh. Gas Control – volume: 114 start-page: 1075 year: 2017 end-page: 1086 ident: bb0195 article-title: Novel advanced solvent-based carbon capture pilot demonstration at the National Carbon Capture Center publication-title: Energy Procedia – volume: 239 year: 2019 ident: bb0340 article-title: Modeling CO2 wettability behavior at the interface of brine/CO2/mineral: application to CO2 geo-sequestration publication-title: J. Clean. Prod. – volume: 12 start-page: 9948 year: 2020 ident: bb1275 article-title: The influence of database selection on environmental impact results. Life cycle assessment of packaging using gabi, ecoinvent 3.6, and the environmental footprint database publication-title: Sustainability – volume: 108318 year: 2021 ident: bb1005 article-title: A long short-term memory based Quasi-Virtual Analyzer for dynamic real-time soft sensing of a Simulated Moving Bed unit publication-title: Appl. Soft Comput. – volume: 15 start-page: 1824 year: 2023 ident: bb0170 article-title: Monte Carlo simulation approach to shipping accidents consequences assessment publication-title: Water – volume: 2 start-page: 944 year: 2010 end-page: 948 ident: bb0425 article-title: De novo synthesis of a metal–organic framework material featuring ultrahigh surface area and gas storage capacities publication-title: Nat. Chem. – volume: 12 start-page: 6111 year: 2021 end-page: 6118 ident: bb1670 article-title: Machine-learning-accelerated catalytic activity predictions of transition metal phthalocyanine dual-metal-site catalysts for CO2 reduction publication-title: J. Phys. Chem. Lett. – volume: 14 start-page: 995 year: 2021 end-page: 1015 ident: bb0450 article-title: Analytical review of life-cycle environmental impacts of carbon capture and utilization technologies publication-title: ChemSusChem – volume: 183 start-page: 998 year: 2016 end-page: 1008 ident: bb1105 article-title: Life cycle assessment of carbon capture and utilization from ammonia process in Mexico publication-title: J. Environ. Manag. – volume: 323 year: 2022 ident: bb1615 article-title: CO2 regeneration energy requirement of carbon capture process with an enhanced waste heat recovery from stripped gas by advanced transport membrane condenser publication-title: Appl. Energy – volume: 332 year: 2022 ident: bb1595 article-title: Environmental impacts of carbon capture and utilization by mineral carbonation: a systematic literature review and meta life cycle assessment publication-title: J. Clean. Prod. – volume: 7 start-page: 9984 year: 2022 end-page: 9994 ident: bb0060 article-title: Carbon dioxide applications for enhanced oil recovery assisted by nanoparticles: recent developments publication-title: ACS Omega – volume: 3 start-page: 892 year: 2010 end-page: 898 ident: bb0515 article-title: Challenges of electric swing adsorption for CO2 capture publication-title: ChemSusChem – ident: bb0670 article-title: CCUS projects at CanmetENERGY – volume: 255 year: 2019 ident: bb0970 article-title: Review of application of molecular dynamics simulations in geological sequestration of carbon dioxide publication-title: Fuel – volume: 24 start-page: 356 year: 2011 end-page: 360 ident: bb1700 article-title: Generalising two-phase homogeneous equilibrium pipeline and jet models to the case of carbon dioxide publication-title: J. Loss Prev. Process Ind. – volume: 42 start-page: 165 year: 2015 end-page: 174 ident: bb0825 article-title: Life-cycle GHG assessment of carbon capture, use and geological storage (CCUS) for linked primary energy and electricity production publication-title: Int. J. Greenh. Gas Control – start-page: 665 year: 2017 end-page: 671 ident: bb1090 article-title: Using KNN algorithm for classification of textual documents publication-title: 2017 8th International Conference on Information Technology (ICIT) – reference: Song, R., Keller, A.A., Suh, S., 2017. Rapid life-cycle impact screening using artificial neural networks. Environ. Sci. \& Technol. 51, 10777–10785. – ident: bb0675 article-title: Carbon capture, utilization, and storage “funding CCUS technology” – volume: 3 start-page: 1106 year: 2010 end-page: 1113 ident: bb0105 article-title: Comparative study of solvent properties for carbon dioxide absorption publication-title: Energy Environ. Sci. – volume: 180 year: 2022 ident: bb1795 article-title: Regenerable solvents mediate accelerated low temperature CO2 capture and carbon mineralization of ash and nano-scale calcium carbonate formation publication-title: Resour. Conserv. Recycl. – volume: 68 start-page: 659 year: 2017 end-page: 684 ident: bb1520 article-title: Process and engineering trends in membrane based carbon capture publication-title: Renew. Sust. Energ. Rev. – reference: Abouelella, D.M., Fateen, S.-E.K., Fouad, M.M.K., 2018. Multiscale modeling study of the adsorption of CO2 using different capture materials. Evergr. Jt. J. Nov. Carbon Resour. Sci. \& Green Asia Strateg. 5, 43–51. – volume: 10 year: 2022 ident: bb1200 article-title: The importance of modeling carbon dioxide transportation and geologic storage in energy system planning tools publication-title: Front. Energy Res. – volume: 85 start-page: 1 year: 2018 end-page: 16 ident: bb1435 article-title: A tutorial on Gaussian process regression: modelling, exploring, and exploiting functions publication-title: J. Math. Psychol. – volume: 54 year: 2021 ident: bb1470 article-title: Vacuum pressure swing adsorption process with carbon molecular sieve for CO2 separation from biogas publication-title: J. CO2 Util. – volume: 269 year: 2020 ident: bb0745 article-title: Impacts of life cycle inventory databases on life cycle assessments: a review by means of a drivetrain case study publication-title: J. Clean. Prod. – volume: 28 start-page: 4615 year: 2013 end-page: 4623 ident: bb0725 article-title: Low-carbon power system dispatch incorporating carbon capture power plants publication-title: IEEE Trans. power Syst. – ident: bb0640 article-title: CARBON CAPTURE SIMULATION FOR INDUSTRY IMPACT (CCSI2) – volume: 166 start-page: 771 year: 2017 end-page: 783 ident: bb0410 article-title: Combined use of life cycle assessment, data envelopment analysis and Monte Carlo simulation for quantifying environmental efficiencies under uncertainty publication-title: J. Clean. Prod. – volume: 9 start-page: 149 year: 2020 end-page: 158 ident: bb0885 article-title: Coupled CO2 sequestration simulation using Abaqus and Eclipse publication-title: Environ. Geotech. – volume: 49 start-page: 1985 year: 2014 end-page: 2002 ident: bb1380 article-title: Electric swing adsorption for gas separation and purification: a review publication-title: Sep. Sci. Technol. – volume: 43 start-page: 7982 year: 2014 end-page: 7994 ident: bb1660 article-title: Life cycle assessment of CO 2 capture and utilization: a tutorial review publication-title: Chem. Soc. Rev. – volume: 6 start-page: 1186 year: 2013 end-page: 1190 ident: bb1555 article-title: Mesoporous poly (melamine–formaldehyde) solid sorbent for carbon dioxide capture publication-title: ChemSusChem – volume: 300 year: 2022 ident: bb0790 article-title: Computational-cost-efficient surrogate model of vacuum pressure swing adsorption for CO separation process optimization publication-title: Sep. Purif. Technol. – volume: 6 start-page: 2721 year: 2013 end-page: 2734 ident: bb1655 article-title: Life-cycle assessment of carbon dioxide capture and utilization: avoiding the pitfalls publication-title: Energy Environ. Sci. – volume: 36 start-page: 260 year: 2010 end-page: 279 ident: bb0165 article-title: The calcium looping cycle for large-scale CO2 capture publication-title: Prog. Energy Combust. Sci. – volume: 7 year: 2020 ident: bb1550 article-title: Life cycle assessment and Monte Carlo simulation to evaluate the environmental impact of promoting LNG vehicles publication-title: MethodsX – volume: 28 year: 2017 ident: bb1680 article-title: Input variable selection for data-driven models of Coriolis flowmeters for two-phase flow measurement publication-title: Meas. Sci. Technol. – volume: 39 start-page: 10507 year: 2014 end-page: 10516 ident: bb0325 article-title: Economic implications of pre-and post-combustion calcium looping configurations applied to gasification power plants publication-title: Int. J. Hydrog. Energy – volume: 278 start-page: 13 year: 2023 ident: bb1650 article-title: Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: implications for carbon utilization projects publication-title: Energy – volume: 25 start-page: 712 year: 2020 end-page: 731 ident: bb1260 article-title: A numerical assessment of carbon-dioxide-rich two-phase flows with dense phases in offshore production pipelines publication-title: SPE J. – volume: 3 start-page: 273 year: 1998 end-page: 280 ident: bb0680 article-title: Application of uncertainty and variability in LCA publication-title: Int. J. Life Cycle Assess. – reference: Naghizadeh, A., Larestani, A., Amar, M.N., Hemmati-Sarapardeh, A., 2022. Predicting viscosity of CO2–N2 gaseous mixtures using advanced intelligent schemes. J. Pet. Sci. Eng. 208, 109359. – volume: 373 start-page: 446 year: 2020 end-page: 458 ident: bb0075 article-title: Fixed bed adsorption as affected by thermodynamics and kinetics: yellow tuff for CO2 capture publication-title: Powder Technol. – volume: 308 year: 2022 ident: bb0175 article-title: Mixture of piperazine and potassium carbonate to absorb CO2 in the packed column: modelling study publication-title: Fuel – volume: 10 year: 2022 ident: bb0770 article-title: Artificial neural network modeling of biochar enhanced anaerobic sewage sludge digestion publication-title: J. Environ. Chem. Eng. – reference: Lund, H., Flåtten, T., Munkejord, S.T., 2011. Depressurization of carbon dioxide in pipelines—models and methods. Energy Procedia 4, 2984–2991. – volume: 111 start-page: 9001 year: 2007 end-page: 9009 ident: bb1130 article-title: Improving carbon dioxide solubility in ionic liquids publication-title: J. Phys. Chem. B – volume: 114 start-page: 6403 year: 2017 end-page: 6410 ident: bb0995 article-title: Chemical looping for pre-combustion and post-combustion CO2 capture publication-title: Energy Procedia – volume: 42 start-page: 1499 year: 2020 end-page: 1512 ident: bb1645 article-title: Impact of a new geological modelling method on the enhancement of the CO2 storage assessment of E sequence of Nam Vang field, offshore Vietnam. Energy Sources publication-title: Part A Recover. Util. Environ. Eff. – volume: 9 start-page: 651 year: 2016 end-page: 662 ident: bb1365 article-title: Experimenting XGBoost algorithm for prediction and classification of different datasets publication-title: Int. J. Control Theory Appl. – volume: 103 year: 2020 ident: bb1500 article-title: Normal or abnormal? Machine learning for the leakage detection in carbon sequestration projects using pressure field data publication-title: Int. J. Greenh. Gas Control – volume: 249 start-page: 40 year: 2018 end-page: 52 ident: bb0110 article-title: Solubility of CO2 in aqueous solutions of glycerol and monoethanolamine publication-title: J. Mol. Liq. – reference: Middleton, R.S., Chen, B., Harp, D.R., Kammer, R.M., Ogland-Hand, J.D., Bielicki, J.M., Clarens, A.F., Currier, R.P., Ellett, K.M., Hoover, B.A., others, 2020a. Great SCO2T! Rapid tool for carbon sequestration science, engineering, and economics. Appl. Comput. Geosci. 7, 100035. – reference: Roth, E.A., Agarwal, S., Gupta, R.K., 2013. Nanoclay-based solid sorbents for CO2 capture. Energy \& fuels 27, 4129–4136. – volume: 183 start-page: 41 year: 2016 end-page: 58 ident: bb0495 article-title: An overview of biological processes and their potential for CO2 capture publication-title: J. Environ. Manag. – volume: 75 start-page: 2311 year: 2015 end-page: 2316 ident: bb1545 article-title: Study on DSS for CCUS source-sink matching publication-title: Energy Procedia – volume: 27 start-page: 1554 year: 2019 end-page: 1565 ident: bb1840 article-title: Recent advances on first-principles modeling for the design of materials in CO2 capture technologies publication-title: Chin. J. Chem. Eng. – volume: 111 year: 2021 ident: bb1825 article-title: A comprehensive techno-eco-assessment of CO2 enhanced oil recovery projects using a machine-learning assisted workflow publication-title: Int. J. Greenh. Gas Control – volume: 93 start-page: 2029 year: 2021 end-page: 2039 ident: bb1440 article-title: Machine learning in chemical engineering: a perspective publication-title: Chemie Ing. Tech. – volume: C 7 start-page: 58 year: 2021 ident: bb0440 article-title: Review of cryogenic carbon capture innovations and their potential applications – volume: 159 start-page: 354 year: 2015 end-page: 363 ident: bb1830 article-title: CO2 injection for enhanced oil recovery in Bakken tight oil reservoirs publication-title: Fuel – volume: 13 start-page: 2527 year: 2021 ident: bb1610 article-title: Assessment of cubic equations of state: machine Learning for rich carbon-dioxide systems publication-title: Sustainability – year: 2021 ident: bb0365 article-title: Reduce carbon and costs with the power of AI – volume: 39 start-page: 149 year: 2012 end-page: 157 ident: bb0705 article-title: Heat of adsorption, adsorption energy and activation energy in adsorption and ion exchange systems publication-title: Desalin. Water Treat. – volume: 108 year: 2021 ident: bb0595 article-title: Technology development and applications of artificial intelligence for post-combustion carbon dioxide capture: critical literature review and perspectives publication-title: Int. J. Greenh. Gas Control – volume: 6 start-page: 15 year: 2021 end-page: 19 ident: bb0235 article-title: Using a feed forward neural network algorithm to predict prices of multiple cryptocurrencies publication-title: Eur. J. Bus. Manag. Res. – volume: 24 start-page: 794 year: 2019 end-page: 807 ident: bb0700 article-title: How to treat uncertainties in life cycle assessment studies? publication-title: Int. J. Life Cycle Assess. – volume: 4 year: 2022 ident: bb1940 article-title: Life-cycle and techno-economic assessment of early-stage carbon capture and utilization technologies—a discussion of current challenges and best practices publication-title: Front. Clim. – volume: 530 year: 2021 ident: bb0020 article-title: Thermodynamic features-driven machine learning-based predictions of clathrate hydrate equilibria in the presence of electrolytes publication-title: Fluid Phase Equilib. – volume: 238 year: 2020 ident: bb0755 article-title: Post-combustion carbon capture by membrane separation publication-title: Review. Sep. Purif. Technol. – volume: 208 start-page: 691 year: 2017 end-page: 702 ident: bb0555 article-title: Economic feasibility of calcium looping under uncertainty publication-title: Appl. Energy – volume: 145 start-page: 1751 year: 2021 end-page: 1768 ident: bb0220 article-title: Application of artificial intelligence on the CO2 capture: a review publication-title: J. Therm. Anal. Calorim. – volume: 12 start-page: 2253 year: 2019 end-page: 2263 ident: bb1590 article-title: Consequential life cycle assessment of carbon capture and utilization technologies within the chemical industry publication-title: Energy Environ. Sci. – volume: 63 start-page: 7290 year: 2014 end-page: 7297 ident: bb0715 article-title: A tool for integrated multi-criteria assessment of the CCS value chain publication-title: Energy Procedia – volume: 65 start-page: 184 year: 2019 end-page: 195 ident: bb0775 article-title: Integrated adsorbent process optimization for minimum cost of electricity including carbon capture bya VSA process publication-title: AICHE J. – year: 2017 ident: bb0295 article-title: Carbon dioxide mineralization and utilization – volume: 260 year: 2020 ident: bb1820 article-title: Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project publication-title: J. Clean. Prod. – volume: 276 year: 2021 ident: bb1015 article-title: Artificial Intelligence-oriented economic non-linear model predictive control applied to a pressure swing adsorption unit: syngas purification as a case study publication-title: Sep. Purif. Technol. – volume: 17 start-page: 1397 year: 2019 end-page: 1404 ident: bb0880 article-title: Prediction of CO2 absorption by physical solvents using a chemoinformatics-based machine learning model publication-title: Environ. Chem. Lett. – volume: 88 start-page: 2368 year: 2011 end-page: 2376 ident: bb1505 article-title: The use of artificial neural network models for CO2 capture plants publication-title: Appl. Energy – start-page: 155 year: 2021 end-page: 164 ident: bb0475 article-title: LCA methodology application to assess the environmental impact of CCS and CCU: a review publication-title: Atti del XIV Convegno della Rete Ital. LCA-IX Convegno dell’Associazione Rete Ital. LCA La sostenibilità della LCA tra sfide Glob. e Compet. delle Orga – volume: 151 start-page: 156 year: 2015 end-page: 163 ident: bb0870 article-title: Modelling of a post-combustion CO2 capture process using neural networks publication-title: Fuel – volume: 42 year: 2020 ident: bb1475 article-title: Challenges of carbon capture technologies deployment in developing countries publication-title: Sustain. Energy Technol. Assessments – reference: Yuan, Z., Eden, M.R., Gani, R., 2016. Toward the development and deployment of large-scale carbon dioxide capture and conversion processes. Ind. \& Eng. Chem. Res. 55, 3383–3419. – volume: 2 start-page: 20 year: 2021 end-page: 28 ident: bb0240 article-title: Classification based on decision tree algorithm for machine learning publication-title: J. Appl. Sci. Technol. Trends – volume: 30 year: 2018 ident: bb1915 article-title: Recent advances in electrochemical CO2-to-CO conversion on heterogeneous catalysts publication-title: Adv. Mater. – volume: 56 year: 2020 ident: bb1170 article-title: Using unsupervised machine learning to characterize capillary flow and residual trapping publication-title: Water Resour. Res. – volume: 37 start-page: 1052 year: 2009 end-page: 1060 ident: bb1050 article-title: A scalable infrastructure model for carbon capture and storage: SimCCS publication-title: Energy Policy – volume: 71 year: 2023 ident: bb0695 article-title: A systematic review of machine learning approaches in carbon capture applications publication-title: J. CO2 Util. – volume: 166 year: 2022 ident: bb9000 article-title: Challenges and opportunities in carbon capture, utilization and storage: a process systems engineering perspective publication-title: Comput. Chem. Eng. – volume: 6 start-page: 173 year: 2016 end-page: 197 ident: bb1600 article-title: What can molecular simulation do for global warming? Wiley Interdiscip publication-title: Rev. Comput. Mol. Sci. – volume: 30 start-page: 259 year: 2007 end-page: 270 ident: bb1605 article-title: Modeling Wyoming’s carbon dioxide pipeline network. Energy Sources publication-title: Part A Recover. Util. Environ. Eff. – start-page: 213 year: 2019 end-page: 251 ident: bb1485 article-title: The fourth-generation biofuel: a systematic review on nearly two decades of research from 2008 to 2019 publication-title: Foss. Free Fuels – volume: 7 start-page: 1386 year: 2014 end-page: 1397 ident: bb0490 article-title: Easily regenerable solid adsorbents based on polyamines for carbon dioxide capture from the air publication-title: ChemSusChem – volume: 32 start-page: 286 year: 2014 end-page: 298 ident: bb0445 article-title: Evaluation of multi-phase atmospheric dispersion models for application to Carbon Capture and Storage publication-title: J. Loss Prev. Process Ind. – volume: 155 start-page: 211 year: 2020 end-page: 228 ident: bb0855 article-title: Optimization of CCUS supply chains in the UK: a strategic role for emissions reduction publication-title: Chem. Eng. Res. Des. – reference: Chen, J., Wang, F., 2014. Cost reduction of CO2 capture processes using reinforcement learning based iterative design: a pilot-scale absorption--stripping system. Sep. Purif. Technol. 122, 149–158. – volume: 6 year: 2020 ident: bb0125 article-title: Designing exceptional gas-separation polymer membranes using machine learning publication-title: Sci. Adv. – ident: bb1160 article-title: POINT SOURCE CARBON CAPTURE PROGRAM – volume: 13 start-page: 1800 year: 2021 ident: bb1185 article-title: Significance of enhanced oil recovery in carbon dioxide emission reduction publication-title: Sustainability – volume: 279 year: 2020 ident: bb1815 article-title: Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework publication-title: Appl. Energy – volume: 25 start-page: 197 year: 2016 end-page: 227 ident: bb0155 article-title: A random forest guided tour publication-title: Test – volume: 316 year: 2022 ident: bb1665 article-title: Robust machine learning models of carbon dioxide trapping indexes at geological storage sites publication-title: Fuel – volume: 3 start-page: 49 year: 2009 end-page: 66 ident: bb1280 article-title: Life cycle assessment of carbon dioxide capture and storage from lignite power plants publication-title: Int. J. Greenh. Gas Control – volume: 15 year: 2020 ident: bb1140 article-title: A guideline for life cycle assessment of carbon capture and utilization publication-title: Front. Energy Res. – volume: 306 year: 2021 ident: bb2000 article-title: A bi-functional alginate-based composite for catalyzing one-pot methyl esters synthesis from waste cooking oil having high acidity publication-title: Fuel – volume: 239 year: 2022 ident: bb0455 article-title: Fines migration and mineral reactions as a mechanism for CO2 residual trapping during CO2 sequestration publication-title: Energy – reference: Miller, D.C., Syamlal, M., Mebane, D.S., Storlie, C., Bhattacharyya, D., Sahinidis, N. V, Agarwal, D., Tong, C., Zitney, S.E., Sarkar, A., others, 2014. Carbon capture simulation initiative: a case study in multiscale modeling and new challenges. Annu. Rev. Chem. Biomol. Eng. 5, 301–323. – volume: 231 start-page: 98 year: 2019 end-page: 109 ident: bb0150 article-title: Cradle-to-grave life cycle assessment (LCA) of low-impact-development (LID) technologies in southern Ontario publication-title: J. Environ. Manag. – volume: 221 year: 2021 ident: bb0585 article-title: Life cycle assessment of CO2 emission reduction potential of carbon capture and utilization for liquid fuel and power cogeneration publication-title: Fuel Process. Technol. – volume: 7 start-page: 2137 year: 2015 end-page: 2148 ident: bb0390 article-title: Amine-based CO2 capture technology development from the beginning of 2013: a review publication-title: ACS Appl. Mater. Interfaces – ident: bb0660 article-title: Unlocking private finance to support CCS investments – volume: 204 year: 2019 ident: bb0750 article-title: Conventional versus modular construction methods: a comparative cradle-to-gate LCA for residential buildings publication-title: Energ. Buildings – volume: 67 start-page: 172 year: 2019 end-page: 195 ident: bb1490 article-title: Membrane-based carbon capture technologies: membrane gas separation vs. membrane contactor publication-title: J. Nat. Gas Sci. Eng. – volume: 63 start-page: 3975 year: 2014 end-page: 3983 ident: bb1120 article-title: Rapid surface detection of CO2 leaks from geologic sequestration sites publication-title: Energy Procedia – volume: 176 start-page: 8 year: 2022 ident: bb1240 article-title: Perspectives on the process intensification of CO2 capture and utilization publication-title: Chem. Eng. Process. Intensif. – volume: 119 start-page: 15232 year: 2015 end-page: 15239 ident: bb1345 article-title: CO2 adsorption on charged carbon nanotube arrays: a possible functional material for electric swing adsorption publication-title: J. Phys. Chem. C – reference: Sassone, D., Bocchini, S., Fontana, M., Salvini, C., Cicero, G., Fiorentin, M.R., Risplendi, F., Latini, G., Farkhondehfal, M.A., Pirri, F., others, 2022. Imidazole-imidazolate pair as organo-electrocatalyst for CO2 reduction on ZIF-8 material. Appl. Energy 324, 119743. – start-page: 207 year: 2021 end-page: 254 ident: bb1335 article-title: Fault diagnosis in industrial processes based on predictive and descriptive machine learning methods publication-title: Appl. Artif. Intell. Process Syst. Eng. – volume: 190 year: 2020 ident: bb0070 article-title: Prediction of CO2 diffusivity in brine using white-box machine learning publication-title: J. Pet. Sci. Eng. – volume: 22 start-page: 2815 year: 2012 end-page: 2823 ident: bb0380 article-title: Materials challenges for the development of solid sorbents for post-combustion carbon capture publication-title: J. Mater. Chem. – reference: Liang, Z.H., Rongwong, W., Liu, H., Fu, K., Gao, H., Cao, F., Zhang, R., Sema, T., Henni, A., Sumon, K., others, 2015. Recent progress and new developments in post-combustion carbon-capture technology with amine based solvents. Int. J. Greenh. Gas Control 40, 26–54. – volume: 14 start-page: 19 year: 2009 end-page: 27 ident: bb0685 article-title: Quantifying system uncertainty of life cycle assessment based on Monte Carlo simulation publication-title: Int. J. Life Cycle Assess. – volume: 114 start-page: 18538 year: 2010 end-page: 18547 ident: bb1730 article-title: Effect of surface group functionalization on the CO2/N2 separation properties of MCM-41: a grand-canonical Monte Carlo simulation study publication-title: J. Phys. Chem. C – reference: Warszawski, L., Kriegler, E., Lenton, T.M., Gaffney, O., Jacob, D., Klingenfeld, D., Koide, R., Costa, M.M., Messner, D., Nakicenovic, N., others, 2021. All options, not silver bullets, needed to limit global warming to 1.5 C: a scenario appraisal. Environ. Res. Lett. 16, 64037. – volume: 43 year: 2015 ident: bb1080 article-title: Carbon capture and storage hazard investigation: numerical analysis of hazards related to dry ice bank sublimation following accidental carbon dioxide releases publication-title: Chem. Eng. Trans. – volume: 30 year: 2017 ident: bb4000 article-title: Attention is all you need publication-title: Adv. Neural Inf. Proces. Syst. – volume: 28 start-page: 123 year: 2009 end-page: 138 ident: bb1295 article-title: Progress and new developments in carbon capture and storage publication-title: Crit. Rev. Plant Sci. – year: 2015 ident: bb0730 article-title: Environmental Life Cycle Assessment – volume: 324 year: 2022 ident: bb0215 article-title: Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage publication-title: Appl. Energy – year: 2019 ident: bb1805 article-title: Assessment of enhanced oil recovery and CO2 storage capacity using machine learning and optimization framework, in: SPE Europec Featured at 81st EAGE Conference and Exhibition – volume: 15 start-page: 6333 year: 2019 end-page: 6342 ident: bb0245 article-title: Computing RPA adsorption enthalpies by machine learning thermodynamic perturbation theory publication-title: J. Chem. Theory Comput. – volume: 26 start-page: 152 year: 2018 end-page: 159 ident: bb1885 article-title: Machine learning predictive framework for CO2 thermodynamic properties in solution publication-title: J. CO2 Util. – year: 2019 ident: bb0035 article-title: Strengthening International Collaboration on Carbon Capture Use and Storage – volume: 248 year: 2020 ident: bb0545 article-title: Solubility of CO2 and CH4 in sterically hindered amine-based deep eutectic solvents publication-title: Sep. Purif. Technol. – start-page: 51 year: 2019 end-page: 63 ident: bb0740 article-title: Comparability of life cycle assessments: modelling and analyzing LCA using different databases publication-title: Cascade Use in Technologies 2018 – volume: 23 start-page: 5768 year: 2017 end-page: 5771 ident: bb1705 article-title: Membrane-based carbon capture technology: challenges and opportunities in Indonesia publication-title: Adv. Sci. Lett. – volume: 224 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1205 article-title: Modelling of a pressure swing adsorption unit by deep learning and artificial Intelligence tools publication-title: Chem. Eng. Sci. doi: 10.1016/j.ces.2020.115801 – volume: 28 start-page: 123 year: 2009 ident: 10.1016/j.scitotenv.2024.170085_bb1295 article-title: Progress and new developments in carbon capture and storage publication-title: Crit. Rev. Plant Sci. doi: 10.1080/07352680902776440 – volume: 166 start-page: 771 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0410 article-title: Combined use of life cycle assessment, data envelopment analysis and Monte Carlo simulation for quantifying environmental efficiencies under uncertainty publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2017.07.215 – volume: 2 start-page: 20 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0570 article-title: A review of principal component analysis algorithm for dimensionality reduction publication-title: J. Soft Comput. Data Min. – volume: 221 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0585 article-title: Life cycle assessment of CO2 emission reduction potential of carbon capture and utilization for liquid fuel and power cogeneration publication-title: Fuel Process. Technol. doi: 10.1016/j.fuproc.2021.106924 – ident: 10.1016/j.scitotenv.2024.170085_bb0260 doi: 10.1016/j.seppur.2013.10.023 – volume: 124 start-page: 22471 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0280 article-title: A machine learning model on simple features for CO2 reduction electrocatalysts publication-title: J. Phys. Chem. C doi: 10.1021/acs.jpcc.0c05964 – volume: 181 start-page: 271 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1560 article-title: Life cycle environmental and economic analysis of pulverized coal oxy-fuel combustion combining with calcium looping process or chemical looping air separation publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2018.01.265 – volume: 111 start-page: 548 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb1265 article-title: High-fidelity reservoir simulations of enhanced gas recovery with supercritical CO2 publication-title: Energy doi: 10.1016/j.energy.2016.04.120 – volume: 333 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb1785 article-title: Application of machine learning in carbon capture and storage: an in-depth insight from the perspective of geoscience publication-title: Fuel doi: 10.1016/j.fuel.2022.126296 – ident: 10.1016/j.scitotenv.2024.170085_bb0520 doi: 10.1016/j.egypro.2011.02.314 – volume: 2 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1175 article-title: Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models publication-title: Energy AI doi: 10.1016/j.egyai.2020.100037 – volume: 2 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1390 article-title: Life cycle assessment of carbon capture and utilization for the production of large volume organic chemicals publication-title: Front. Clim. doi: 10.3389/fclim.2020.586199 – volume: 43 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb1080 article-title: Carbon capture and storage hazard investigation: numerical analysis of hazards related to dry ice bank sublimation following accidental carbon dioxide releases publication-title: Chem. Eng. Trans. – volume: 39 start-page: 10507 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb0325 article-title: Economic implications of pre-and post-combustion calcium looping configurations applied to gasification power plants publication-title: Int. J. Hydrog. Energy doi: 10.1016/j.ijhydene.2014.05.033 – volume: 24 start-page: 794 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0700 article-title: How to treat uncertainties in life cycle assessment studies? publication-title: Int. J. Life Cycle Assess. doi: 10.1007/s11367-018-1477-1 – volume: 657 start-page: 56 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1715 article-title: Outlook of carbon capture technology and challenges publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2018.11.424 – volume: 63 start-page: 2655 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb0395 article-title: Multi-period least cost optimisation model of an integrated carbon dioxide capture transportation and storage infrastructure in the UK publication-title: Energy Procedia doi: 10.1016/j.egypro.2014.11.288 – volume: 180 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1795 article-title: Regenerable solvents mediate accelerated low temperature CO2 capture and carbon mineralization of ash and nano-scale calcium carbonate formation publication-title: Resour. Conserv. Recycl. doi: 10.1016/j.resconrec.2022.106209 – year: 2008 ident: 10.1016/j.scitotenv.2024.170085_bb0610 – volume: 195 start-page: 80 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0080 article-title: Optimum design of CO2 storage and oil recovery under geological uncertainty publication-title: Appl. Energy doi: 10.1016/j.apenergy.2017.03.017 – ident: 10.1016/j.scitotenv.2024.170085_bb0915 doi: 10.1016/j.ijhydene.2015.07.013 – volume: 888 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb0115 article-title: Business model and supporting policies for projects to implement carbon capture and power-to-gas technologies publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2023.164150 – volume: 43 start-page: 7982 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb1660 article-title: Life cycle assessment of CO 2 capture and utilization: a tutorial review publication-title: Chem. Soc. Rev. doi: 10.1039/C3CS60373C – volume: 4 start-page: 1158 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb0385 article-title: Combined calcium looping and chemical looping combustion for post-combustion carbon dioxide capture: process simulation and sensitivity analysis publication-title: Energ. Technol. doi: 10.1002/ente.201600024 – volume: 63 start-page: 3975 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb1120 article-title: Rapid surface detection of CO2 leaks from geologic sequestration sites publication-title: Energy Procedia doi: 10.1016/j.egypro.2014.11.427 – ident: 10.1016/j.scitotenv.2024.170085_bb0010 doi: 10.5109/1929729 – volume: 104 start-page: 882 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb0835 article-title: Improving regeneration properties of potassium-based alumina sorbents for carbon dioxide capture from flue gas publication-title: Fuel doi: 10.1016/j.fuel.2012.05.037 – volume: 24 start-page: 356 year: 2011 ident: 10.1016/j.scitotenv.2024.170085_bb1700 article-title: Generalising two-phase homogeneous equilibrium pipeline and jet models to the case of carbon dioxide publication-title: J. Loss Prev. Process Ind. doi: 10.1016/j.jlp.2011.01.010 – volume: 88 start-page: 2368 year: 2011 ident: 10.1016/j.scitotenv.2024.170085_bb1505 article-title: The use of artificial neural network models for CO2 capture plants publication-title: Appl. Energy doi: 10.1016/j.apenergy.2011.01.013 – year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0035 – ident: 10.1016/j.scitotenv.2024.170085_bb1040 – volume: 44 start-page: 4475 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1755 article-title: Machine learning-based optimization for hydrogen purification performance of layered bed pressure swing adsorption publication-title: Int. J. Energy Res. doi: 10.1002/er.5225 – volume: 53 start-page: 371 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb0095 article-title: Optimization of multi-stage membrane systems for CO2 capture from flue gas publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2016.08.005 – start-page: 69 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1220 article-title: Uncertainty information in LCI-databases and its propagation through an LCA Model publication-title: Prog. Life Cycle Assess. doi: 10.1007/978-3-319-92237-9_8 – volume: 89 start-page: 1600 year: 2011 ident: 10.1016/j.scitotenv.2024.170085_bb0765 article-title: Modelling reactive absorption of CO2 in packed columns for post-combustion carbon capture applications publication-title: Chem. Eng. Res. Des. doi: 10.1016/j.cherd.2010.09.020 – start-page: 213 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1485 article-title: The fourth-generation biofuel: a systematic review on nearly two decades of research from 2008 to 2019 publication-title: Foss. Free Fuels doi: 10.1201/9780429327773-12 – volume: 4 start-page: 628 year: 2011 ident: 10.1016/j.scitotenv.2024.170085_bb0300 article-title: Amine-tethered solid adsorbents coupling high adsorption capacity and regenerability for CO2 capture from ambient air publication-title: ChemSusChem doi: 10.1002/cssc.201000355 – volume: 10 start-page: 249 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0920 article-title: A numerical study on the non-isothermal flow characteristics and hydrate risk of CO2 in buried transmission pipelines under the gas-phase transportation mode publication-title: Greenh. Gases Sci. Technol. doi: 10.1002/ghg.1937 – volume: 37 start-page: 618 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb0990 article-title: Chemical looping for pre-combustion CO2 capture—performance and cost analysis publication-title: Energy Procedia doi: 10.1016/j.egypro.2013.05.149 – volume: 764 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0015 article-title: A brief review for chemical looping combustion as a promising CO2 capture technology: fundamentals and progress publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2020.142892 – volume: 124 start-page: 367 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb1375 article-title: Carbon dioxide sequestration in saline formations: part I—review of the modeling of solubility trapping publication-title: J. Pet. Sci. Eng. doi: 10.1016/j.petrol.2014.07.024 – volume: 52 start-page: 305 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb1865 article-title: Comparative evaluation of CO2 capture from flue gas by [Emim][Ac] ionic liquid, aqueous potassium carbonate (without activator) and MEA solutions in a packed column publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2016.07.014 – volume: 108 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0595 article-title: Technology development and applications of artificial intelligence for post-combustion carbon dioxide capture: critical literature review and perspectives publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2021.103307 – volume: 71 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb0695 article-title: A systematic review of machine learning approaches in carbon capture applications publication-title: J. CO2 Util. doi: 10.1016/j.jcou.2023.102474 – volume: 2 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1350 article-title: Toward smart carbon capture with machine learning publication-title: Cell Reports Phys. Sci. doi: 10.1016/j.xcrp.2021.100396 – volume: 111 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1825 article-title: A comprehensive techno-eco-assessment of CO2 enhanced oil recovery projects using a machine-learning assisted workflow publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2021.103480 – volume: 25 start-page: 712 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1260 article-title: A numerical assessment of carbon-dioxide-rich two-phase flows with dense phases in offshore production pipelines publication-title: SPE J. doi: 10.2118/199876-PA – ident: 10.1016/j.scitotenv.2024.170085_bb1835 doi: 10.1021/acs.iecr.5b03277 – volume: 18 start-page: 230 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb0185 article-title: Key issues and options in accounting for carbon sequestration and temporary storage in life cycle assessment and carbon footprinting publication-title: Int. J. Life Cycle Assess. doi: 10.1007/s11367-012-0451-6 – volume: 279 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0285 article-title: Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning publication-title: Chemosphere doi: 10.1016/j.chemosphere.2021.130498 – volume: 183 start-page: 998 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb1105 article-title: Life cycle assessment of carbon capture and utilization from ammonia process in Mexico publication-title: J. Environ. Manag. doi: 10.1016/j.jenvman.2016.09.048 – year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0580 – volume: 142 start-page: 20273 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1100 article-title: The role of machine learning in the understanding and design of materials publication-title: J. Am. Chem. Soc. doi: 10.1021/jacs.0c09105 – volume: 51 start-page: 345 year: 2006 ident: 10.1016/j.scitotenv.2024.170085_bb1465 article-title: Facilitated transport of carbon dioxide through poly (2-N, N-dimethyl aminoethyl methacrylate-co-acrylic acid sodium) membrane publication-title: Sep. Purif. Technol. doi: 10.1016/j.seppur.2006.02.015 – volume: 42 start-page: 8046 year: 2008 ident: 10.1016/j.scitotenv.2024.170085_bb1025 article-title: CFD and Gaussian atmospheric dispersion models: a comparison for leak from carbon dioxide transportation and storage facilities publication-title: Atmos. Environ. doi: 10.1016/j.atmosenv.2008.06.038 – ident: 10.1016/j.scitotenv.2024.170085_bb0355 doi: 10.1016/j.compchemeng.2021.107569 – volume: 10 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0770 article-title: Artificial neural network modeling of biochar enhanced anaerobic sewage sludge digestion publication-title: J. Environ. Chem. Eng. doi: 10.1016/j.jece.2022.107988 – volume: 480 start-page: 39 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0040 article-title: Prediction of plasticization pressure of polymeric membranes for CO2 removal from natural gas publication-title: J. Membr. Sci. doi: 10.1016/j.memsci.2015.01.039 – ident: 10.1016/j.scitotenv.2024.170085_bb0365 – volume: 8 start-page: 92 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0780 article-title: Techno-economic assessment for CO2 capture from air using a conventional liquid-based absorption process publication-title: Front. Energy Res. doi: 10.3389/fenrg.2020.00092 – year: 1990 ident: 10.1016/j.scitotenv.2024.170085_bb0815 – ident: 10.1016/j.scitotenv.2024.170085_bb1255 doi: 10.1021/acs.jpcc.0c01878 – volume: 325 start-page: 1599 issue: 5948 year: 2009 ident: 10.1016/j.scitotenv.2024.170085_bb0305 article-title: Carbon capture and sequestration publication-title: Science doi: 10.1126/science.1181637 – volume: 373 start-page: 446 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0075 article-title: Fixed bed adsorption as affected by thermodynamics and kinetics: yellow tuff for CO2 capture publication-title: Powder Technol. doi: 10.1016/j.powtec.2020.06.075 – volume: 90 start-page: 825 year: 2012 ident: 10.1016/j.scitotenv.2024.170085_bb0370 article-title: Screening CO2/N2 selectivity in metal-organic frameworks using Monte Carlo simulations and ideal adsorbed solution theory publication-title: Can. J. Chem. Eng. doi: 10.1002/cjce.20700 – volume: 55 start-page: 166 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb0735 article-title: Consequence analysis of accidental release of supercritical carbon dioxide from high pressure pipelines publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2016.10.010 – volume: 68 start-page: 269 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1685 article-title: Mass flow measurement of gas-liquid two-phase CO2 in CCS transportation pipelines using Coriolis flowmeters publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2017.11.021 – volume: 6 start-page: 3528 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0975 article-title: Machine-learning-augmented chemisorption model for CO2 electroreduction catalyst screening publication-title: J. Phys. Chem. Lett. doi: 10.1021/acs.jpclett.5b01660 – volume: 340 start-page: 23 year: 2005 ident: 10.1016/j.scitotenv.2024.170085_bb0940 article-title: Quantifying and reducing uncertainty in life cycle assessment using the Bayesian Monte Carlo method publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2004.08.020 – start-page: 1 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0465 article-title: Advances in application of machine learning to life cycle assessment: a literature review publication-title: Int. J. Life Cycle Assess. – volume: 6 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0125 article-title: Designing exceptional gas-separation polymer membranes using machine learning publication-title: Sci. Adv. doi: 10.1126/sciadv.aaz4301 – ident: 10.1016/j.scitotenv.2024.170085_bb1165 – ident: 10.1016/j.scitotenv.2024.170085_bb1540 doi: 10.1021/acs.iecr.9b04173 – volume: 4 start-page: 69 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb0330 article-title: Part 7: a review of CO2 capture using hollow fiber membrane contactors publication-title: Carbon Manag. doi: 10.4155/cmt.12.73 – volume: 37 start-page: 6854 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb0820 article-title: CO2 utilization from “next generation” CO2 enhanced oil recovery technology publication-title: Energy Procedia doi: 10.1016/j.egypro.2013.06.618 – volume: 2 start-page: 648 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1400 article-title: Designing materials for electrochemical carbon dioxide recycling publication-title: Nat. Catal. doi: 10.1038/s41929-019-0306-7 – volume: 30 start-page: 6325 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb0085 article-title: Role of pore chemistry and topology in the CO2 capture capabilities of MOFs: from molecular simulation to machine learning publication-title: Chem. Mater. doi: 10.1021/acs.chemmater.8b02257 – ident: 10.1016/j.scitotenv.2024.170085_bb0140 doi: 10.1016/j.apenergy.2015.10.011 – ident: 10.1016/j.scitotenv.2024.170085_bb1430 doi: 10.1016/j.apenergy.2022.119743 – volume: 67 start-page: 172 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1490 article-title: Membrane-based carbon capture technologies: membrane gas separation vs. membrane contactor publication-title: J. Nat. Gas Sci. Eng. doi: 10.1016/j.jngse.2019.04.008 – start-page: 665 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb1090 article-title: Using KNN algorithm for classification of textual documents – volume: 21 start-page: 162 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb1635 article-title: Predicting CO2 capture of ionic liquids using machine learning publication-title: J. CO2 Util. doi: 10.1016/j.jcou.2017.06.012 – volume: 3 start-page: 97 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0420 article-title: Survey on research of RNN-based spatio-temporal sequence prediction algorithms publication-title: J. Big Data doi: 10.32604/jbd.2021.016993 – year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0980 – volume: 13 start-page: 5289 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1300 article-title: Methods to optimize carbon footprint of buildings in regenerative architectural design with the use of machine learning, convolutional neural network, and parametric design publication-title: Energies doi: 10.3390/en13205289 – volume: 269 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0745 article-title: Impacts of life cycle inventory databases on life cycle assessments: a review by means of a drivetrain case study publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2020.121329 – volume: 12 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0290 article-title: Artificial intelligence for climate change adaptation. Wiley Interdiscip. Rev publication-title: Data Min. Knowl. Disc. – volume: 14 start-page: 19 year: 2009 ident: 10.1016/j.scitotenv.2024.170085_bb0685 article-title: Quantifying system uncertainty of life cycle assessment based on Monte Carlo simulation publication-title: Int. J. Life Cycle Assess. doi: 10.1007/s11367-008-0034-8 – volume: 308 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0175 article-title: Mixture of piperazine and potassium carbonate to absorb CO2 in the packed column: modelling study publication-title: Fuel doi: 10.1016/j.fuel.2021.122033 – volume: 6 start-page: 1186 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb1555 article-title: Mesoporous poly (melamine–formaldehyde) solid sorbent for carbon dioxide capture publication-title: ChemSusChem doi: 10.1002/cssc.201300107 – volume: 320 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1860 article-title: Tool for optimization of energy consumption of membrane-based carbon capture publication-title: J. Environ. Manag. doi: 10.1016/j.jenvman.2022.115913 – volume: 8 start-page: 960 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0860 article-title: Optimization of CCUS supply chains for some European countries under the uncertainty publication-title: Processes doi: 10.3390/pr8080960 – volume: 12 start-page: 9948 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1275 article-title: The influence of database selection on environmental impact results. Life cycle assessment of packaging using gabi, ecoinvent 3.6, and the environmental footprint database publication-title: Sustainability doi: 10.3390/su12239948 – ident: 10.1016/j.scitotenv.2024.170085_bb1530 doi: 10.1016/j.ress.2021.108016 – start-page: 1 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0840 article-title: Feature image-based automatic modulation classification method using CNN algorithm – ident: 10.1016/j.scitotenv.2024.170085_bb0930 doi: 10.1021/acs.energyfuels.0c04346 – volume: 278 start-page: 13 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb1650 article-title: Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: implications for carbon utilization projects publication-title: Energy – volume: 11 start-page: 4481 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1925 article-title: Enhanced carbon dioxide conversion at ambient conditions via a pore enrichment effect publication-title: Nat. Commun. doi: 10.1038/s41467-020-18154-9 – volume: 32 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0525 article-title: Progress in computational and machine-learning methods for heterogeneous small-molecule activation publication-title: Adv. Mater. doi: 10.1002/adma.201907865 – volume: 2 start-page: 194 year: 2008 ident: 10.1016/j.scitotenv.2024.170085_bb0505 article-title: Electric swing adsorption for CO2 removal from flue gases publication-title: Int. J. Greenh. Gas Control – ident: 10.1016/j.scitotenv.2024.170085_bb0550 doi: 10.1021/ie200344t – year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb1125 – volume: 225 start-page: 332 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb0270 article-title: Geologic CO2 sequestration monitoring design: a machine learning and uncertainty quantification based approach publication-title: Appl. Energy doi: 10.1016/j.apenergy.2018.05.044 – volume: 324 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0215 article-title: Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage publication-title: Appl. Energy doi: 10.1016/j.apenergy.2022.119668 – volume: 3 start-page: 273 year: 1998 ident: 10.1016/j.scitotenv.2024.170085_bb0680 article-title: Application of uncertainty and variability in LCA publication-title: Int. J. Life Cycle Assess. doi: 10.1007/BF02979835 – volume: 148 start-page: 212 year: 2009 ident: 10.1016/j.scitotenv.2024.170085_bb0205 article-title: Surface science perspective of carbon dioxide chemistry—adsorption kinetics and dynamics of CO2 on selected model surfaces publication-title: Catal. Today doi: 10.1016/j.cattod.2009.07.082 – volume: 17 start-page: 1397 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0880 article-title: Prediction of CO2 absorption by physical solvents using a chemoinformatics-based machine learning model publication-title: Environ. Chem. Lett. doi: 10.1007/s10311-019-00874-0 – volume: 114 start-page: 6403 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0995 article-title: Chemical looping for pre-combustion and post-combustion CO2 capture publication-title: Energy Procedia doi: 10.1016/j.egypro.2017.03.1776 – year: 2007 ident: 10.1016/j.scitotenv.2024.170085_bb0910 article-title: Numerical modelling of CO2 sequestration in coal-beds with variable saturation on COMSOL – volume: 7 start-page: 1386 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb0490 article-title: Easily regenerable solid adsorbents based on polyamines for carbon dioxide capture from the air publication-title: ChemSusChem doi: 10.1002/cssc.201301114 – ident: 10.1016/j.scitotenv.2024.170085_bb1630 – volume: 93 start-page: 2029 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1440 article-title: Machine learning in chemical engineering: a perspective publication-title: Chemie Ing. Tech. doi: 10.1002/cite.202100083 – start-page: 155 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0475 article-title: LCA methodology application to assess the environmental impact of CCS and CCU: a review – volume: 13 start-page: 1800 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1185 article-title: Significance of enhanced oil recovery in carbon dioxide emission reduction publication-title: Sustainability doi: 10.3390/su13041800 – ident: 10.1016/j.scitotenv.2024.170085_bb0895 doi: 10.1016/j.ijggc.2015.06.017 – volume: 46 start-page: 18 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb0310 article-title: Life cycle assessment of CaO looping versus amine-based absorption for capturing CO2 in a subcritical coal power plant publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2015.12.031 – volume: 160 start-page: 848 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0540 article-title: Carbon capture and sequestration potential in India: a comprehensive review publication-title: Energy Procedia doi: 10.1016/j.egypro.2019.02.148 – volume: 15 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1140 article-title: A guideline for life cycle assessment of carbon capture and utilization publication-title: Front. Energy Res. – volume: 17 start-page: 332 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb1640 article-title: Direct CO2 capture from ambient air using K2CO3/Al2O3 composite sorbent publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2013.05.006 – volume: 56 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1170 article-title: Using unsupervised machine learning to characterize capillary flow and residual trapping publication-title: Water Resour. Res. doi: 10.1029/2020WR027473 – volume: 65 start-page: 184 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0775 article-title: Integrated adsorbent process optimization for minimum cost of electricity including carbon capture bya VSA process publication-title: AICHE J. doi: 10.1002/aic.16362 – volume: 3 start-page: 1557 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1290 article-title: Reduction of CO2 to chemicals and fuels: a solution to global warming and energy crisis publication-title: ACS Energy Lett. doi: 10.1021/acsenergylett.8b00878 – start-page: 207 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1335 article-title: Fault diagnosis in industrial processes based on predictive and descriptive machine learning methods publication-title: Appl. Artif. Intell. Process Syst. Eng. – volume: 5 start-page: 3232 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1535 article-title: Catalytic non-redox carbon dioxide fixation in cyclic carbonates publication-title: Chem doi: 10.1016/j.chempr.2019.10.009 – volume: 166 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb9000 article-title: Challenges and opportunities in carbon capture, utilization and storage: a process systems engineering perspective publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2022.107925 – volume: 28 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb1680 article-title: Input variable selection for data-driven models of Coriolis flowmeters for two-phase flow measurement publication-title: Meas. Sci. Technol. doi: 10.1088/1361-6501/aa57d6 – ident: 10.1016/j.scitotenv.2024.170085_bb1405 doi: 10.1021/ef302017m – volume: C 7 start-page: 58 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0440 article-title: Review of cryogenic carbon capture innovations and their potential applications – volume: 306 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb2000 article-title: A bi-functional alginate-based composite for catalyzing one-pot methyl esters synthesis from waste cooking oil having high acidity publication-title: Fuel doi: 10.1016/j.fuel.2021.121637 – volume: 30 start-page: 255 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1330 article-title: Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions publication-title: J. Intell. Manuf. doi: 10.1007/s10845-016-1244-8 – volume: 6 start-page: 173 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb1600 article-title: What can molecular simulation do for global warming? Wiley Interdiscip publication-title: Rev. Comput. Mol. Sci. doi: 10.1002/wcms.1241 – volume: 21 start-page: 1218 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb1710 article-title: The ecoinvent database version 3 (part I): overview and methodology publication-title: Int. J. Life Cycle Assess. doi: 10.1007/s11367-016-1087-8 – volume: 22 start-page: 2815 year: 2012 ident: 10.1016/j.scitotenv.2024.170085_bb0380 article-title: Materials challenges for the development of solid sorbents for post-combustion carbon capture publication-title: J. Mater. Chem. doi: 10.1039/C2JM12592G – volume: 2 start-page: 944 year: 2010 ident: 10.1016/j.scitotenv.2024.170085_bb0425 article-title: De novo synthesis of a metal–organic framework material featuring ultrahigh surface area and gas storage capacities publication-title: Nat. Chem. doi: 10.1038/nchem.834 – volume: 176 start-page: 8 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1240 article-title: Perspectives on the process intensification of CO2 capture and utilization publication-title: Chem. Eng. Process. Intensif. – volume: 117 start-page: 9524 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb1780 article-title: Computational modeling and simulation of CO2 capture by aqueous amines publication-title: Chem. Rev. doi: 10.1021/acs.chemrev.6b00662 – volume: 208 start-page: 691 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0555 article-title: Economic feasibility of calcium looping under uncertainty publication-title: Appl. Energy doi: 10.1016/j.apenergy.2017.09.078 – volume: 13 start-page: 2527 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1610 article-title: Assessment of cubic equations of state: machine Learning for rich carbon-dioxide systems publication-title: Sustainability doi: 10.3390/su13052527 – volume: 9 start-page: 149 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0885 article-title: Coupled CO2 sequestration simulation using Abaqus and Eclipse publication-title: Environ. Geotech. – ident: 10.1016/j.scitotenv.2024.170085_bb0200 doi: 10.1021/acs.iecr.9b02521 – ident: 10.1016/j.scitotenv.2024.170085_bb1235 doi: 10.1016/j.ijggc.2011.12.007 – ident: 10.1016/j.scitotenv.2024.170085_bb0485 – volume: 2 start-page: 20 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0240 article-title: Classification based on decision tree algorithm for machine learning publication-title: J. Appl. Sci. Technol. Trends doi: 10.38094/jastt20165 – volume: 81 start-page: 2 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0575 article-title: A multi-scale framework for CO2 capture, utilization, and sequestration: CCUS and CCU publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2015.04.034 – ident: 10.1016/j.scitotenv.2024.170085_bb1135 doi: 10.1039/C9ME00062C – volume: 316 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1665 article-title: Robust machine learning models of carbon dioxide trapping indexes at geological storage sites publication-title: Fuel doi: 10.1016/j.fuel.2022.123391 – volume: 62 start-page: 46 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb1870 article-title: Post-combustion CO2 capture using [Emim][Ac] ionic liquid, piperazine activated N-methyldiethanolamine and promoted K2CO3 in a bench scale publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2017.04.011 – volume: 15 start-page: 6333 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0245 article-title: Computing RPA adsorption enthalpies by machine learning thermodynamic perturbation theory publication-title: J. Chem. Theory Comput. doi: 10.1021/acs.jctc.9b00782 – year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0350 – ident: 10.1016/j.scitotenv.2024.170085_bb0415 doi: 10.1021/ie503517y – volume: 15 start-page: 49 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0830 article-title: Numerical modeling of supercritical CO2 leaks and its subsequent dispersion in the ambient air publication-title: Procedia IUTAM doi: 10.1016/j.piutam.2015.04.008 – volume: 111 start-page: 9001 year: 2007 ident: 10.1016/j.scitotenv.2024.170085_bb1130 article-title: Improving carbon dioxide solubility in ionic liquids publication-title: J. Phys. Chem. B doi: 10.1021/jp071897q – volume: 9 start-page: 20 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0400 article-title: A life cycle assessment of two residential buildings using two different LCA database-software combinations: recognizing uniformities and inconsistencies publication-title: Buildings doi: 10.3390/buildings9010020 – volume: 248 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0545 article-title: Solubility of CO2 and CH4 in sterically hindered amine-based deep eutectic solvents publication-title: Sep. Purif. Technol. doi: 10.1016/j.seppur.2020.117055 – volume: 42 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1475 article-title: Challenges of carbon capture technologies deployment in developing countries publication-title: Sustain. Energy Technol. Assessments – volume: 49 start-page: 1985 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb1380 article-title: Electric swing adsorption for gas separation and purification: a review publication-title: Sep. Sci. Technol. doi: 10.1080/01496395.2014.915854 – volume: 336 start-page: 659 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1910 article-title: Synthesis of a novel hybrid adsorbent which combines activated carbon and zeolite NaUSY for CO2 capture by electric swing adsorption (ESA) publication-title: Chem. Eng. J. doi: 10.1016/j.cej.2017.11.167 – volume: 68 start-page: 659 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb1520 article-title: Process and engineering trends in membrane based carbon capture publication-title: Renew. Sust. Energ. Rev. doi: 10.1016/j.rser.2016.10.025 – volume: 92 start-page: 36 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb1020 article-title: Modelling three-phase releases of carbon dioxide from high-pressure pipelines publication-title: Process. Saf. Environ. Prot. doi: 10.1016/j.psep.2013.10.004 – year: 2009 ident: 10.1016/j.scitotenv.2024.170085_bb1525 – volume: 222 start-page: 711 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb0100 article-title: Calcium looping performance under extreme oxy-fuel combustion conditions in the calciner publication-title: Fuel doi: 10.1016/j.fuel.2018.02.163 – volume: 155 start-page: 211 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0855 article-title: Optimization of CCUS supply chains in the UK: a strategic role for emissions reduction publication-title: Chem. Eng. Res. Des. doi: 10.1016/j.cherd.2020.01.002 – year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1095 – volume: 130 start-page: 23 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1180 article-title: Earth for AI: a political ecology of data-driven climate initiatives publication-title: Geoforum doi: 10.1016/j.geoforum.2022.01.016 – volume: 190 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0070 article-title: Prediction of CO2 diffusivity in brine using white-box machine learning publication-title: J. Pet. Sci. Eng. doi: 10.1016/j.petrol.2020.107037 – volume: 239 start-page: 75 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb1340 article-title: CO2 capture performance of HKUST-1 in a sound assisted fluidized bed publication-title: Chem. Eng. J. doi: 10.1016/j.cej.2013.11.005 – volume: 60 start-page: 30 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1770 article-title: Application of soft computing techniques to multiphase flow measurement: a review publication-title: Flow Meas. Instrum. doi: 10.1016/j.flowmeasinst.2018.02.017 – volume: 30 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1915 article-title: Recent advances in electrochemical CO2-to-CO conversion on heterogeneous catalysts publication-title: Adv. Mater. doi: 10.1002/adma.201802066 – volume: 249 start-page: 40 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb0110 article-title: Solubility of CO2 in aqueous solutions of glycerol and monoethanolamine publication-title: J. Mol. Liq. doi: 10.1016/j.molliq.2017.10.151 – year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb0985 – year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0730 – start-page: 164 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0810 article-title: A machine learning approach to enhanced oil recovery prediction – volume: 12 start-page: 2253 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1590 article-title: Consequential life cycle assessment of carbon capture and utilization technologies within the chemical industry publication-title: Energy Environ. Sci. doi: 10.1039/C9EE00914K – volume: 103 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1500 article-title: Normal or abnormal? Machine learning for the leakage detection in carbon sequestration projects using pressure field data publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2020.103189 – volume: 104 start-page: 110 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb1930 article-title: Comparison of carbon capture IGCC with chemical-looping combustion and with calcium-looping process driven by coal for power generation publication-title: Chem. Eng. Res. Des. doi: 10.1016/j.cherd.2015.07.027 – volume: 121 start-page: 17941 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0805 article-title: Kinetic Monte Carlo simulations of methanol synthesis from carbon dioxide and hydrogen on Cu (111) catalysts: statistical uncertainty study publication-title: J. Phys. Chem. C doi: 10.1021/acs.jpcc.7b04985 – volume: 5 start-page: 1 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb1460 article-title: Made-to-order metal-organic frameworks for trace carbon dioxide removal and air capture publication-title: Nat. Commun. doi: 10.1038/ncomms5228 – ident: 10.1016/j.scitotenv.2024.170085_bb1145 doi: 10.1016/j.petrol.2021.109359 – ident: 10.1016/j.scitotenv.2024.170085_bb0470 doi: 10.1021/acs.iecr.5b05015 – volume: 48 start-page: 1761 year: 2007 ident: 10.1016/j.scitotenv.2024.170085_bb1315 article-title: ECO2N—a fluid property module for the TOUGH2 code for studies of CO2 storage in saline aquifers publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2007.01.016 – ident: 10.1016/j.scitotenv.2024.170085_bb1070 doi: 10.1002/9781119106418.ch12 – volume: 114 start-page: 74 year: 2008 ident: 10.1016/j.scitotenv.2024.170085_bb1855 article-title: Promoting the CO2 adsorption in the amine-containing SBA-15 by hydroxyl group publication-title: Microporous Mesoporous Mater. doi: 10.1016/j.micromeso.2007.12.016 – volume: 4 start-page: 2772 year: 2011 ident: 10.1016/j.scitotenv.2024.170085_bb1110 article-title: Optimal planning of CO2 transmission infrastructure: the JRC InfraCCS tool publication-title: Energy Procedia doi: 10.1016/j.egypro.2011.02.180 – volume: 97 start-page: 1048 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0025 article-title: Current situation of carbon dioxide capture, storage, and enhanced oil recovery in the oil and gas industry publication-title: Can. J. Chem. Eng. doi: 10.1002/cjce.23393 – volume: 183 start-page: 291 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0255 article-title: Characterization of CO2 storage and enhanced oil recovery in residual oil zones publication-title: Energy doi: 10.1016/j.energy.2019.06.142 – volume: 260 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1820 article-title: Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2020.120866 – volume: 7 start-page: 47 year: 2002 ident: 10.1016/j.scitotenv.2024.170085_bb1395 article-title: How LCA studies deal with uncertainty publication-title: Int. J. Life Cycle Assess. doi: 10.1007/BF02978909 – volume: 205 start-page: 222 year: 2012 ident: 10.1016/j.scitotenv.2024.170085_bb1355 article-title: Recovery comparisons—hot nitrogen vs steam regeneration of toxic dichloromethane from activated carbon beds in oil sands process publication-title: J. Hazard. Mater. doi: 10.1016/j.jhazmat.2011.12.062 – volume: 322 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0935 article-title: Investment decision on carbon capture and utilization (CCU) technologies—a real option model based on technology learning effect publication-title: Appl. Energy doi: 10.1016/j.apenergy.2022.119514 – volume: 790 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1415 article-title: Current and future perspectives on catalytic-based integrated carbon capture and utilization publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2021.148081 – volume: 94 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1455 article-title: Dynamic measurement of gas volume fraction in a CO2 pipeline through capacitive sensing and data driven modelling publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2019.102950 – volume: 158 start-page: 332 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0800 article-title: The influence of uncertainty in the development of a CO2 infrastructure network publication-title: Appl. Energy doi: 10.1016/j.apenergy.2015.08.024 – volume: 15 start-page: 1824 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb0170 article-title: Monte Carlo simulation approach to shipping accidents consequences assessment publication-title: Water doi: 10.3390/w15101824 – volume: 314 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1570 article-title: Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers publication-title: Appl. Energy doi: 10.1016/j.apenergy.2022.118985 – start-page: 12018 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0720 article-title: A new approach for storage capacity and allowable injection time calculation in carbon capture and storage (CCS) reservoir – volume: 103 start-page: 286 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0760 article-title: Membrane-based carbon capture from flue gas: a review publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2014.10.050 – volume: 54 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1470 article-title: Vacuum pressure swing adsorption process with carbon molecular sieve for CO2 separation from biogas publication-title: J. CO2 Util. doi: 10.1016/j.jcou.2021.101764 – volume: 215 start-page: 371 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb1115 article-title: Atmospheric CO2 capture by algae: negative carbon dioxide emission path publication-title: Bioresour. Technol. doi: 10.1016/j.biortech.2016.03.060 – volume: 26 start-page: 33732 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1370 article-title: Production of palm kernel shell-based activated carbon by direct physical activation for carbon dioxide adsorption publication-title: Environ. Sci. Pollut. Res. doi: 10.1007/s11356-018-1903-8 – volume: 276 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1015 article-title: Artificial Intelligence-oriented economic non-linear model predictive control applied to a pressure swing adsorption unit: syngas purification as a case study publication-title: Sep. Purif. Technol. doi: 10.1016/j.seppur.2021.119333 – volume: 10 start-page: 425 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0045 article-title: Dual benefits of enhanced oil recovery and CO2 sequestration: the impact of CO2 injection approach on oil recovery publication-title: Front. Energy Res. doi: 10.3389/fenrg.2022.877212 – ident: 10.1016/j.scitotenv.2024.170085_bb1445 doi: 10.1016/j.cageo.2017.10.012 – ident: 10.1016/j.scitotenv.2024.170085_bb1055 doi: 10.1016/j.acags.2020.100035 – volume: 51 start-page: 109 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1565 article-title: Economic model predictive control of an absorber-stripper CO2 capture process for improving energy cost publication-title: IFAC-PapersOnLine doi: 10.1016/j.ifacol.2018.09.284 – volume: 6 start-page: 15 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0235 article-title: Using a feed forward neural network algorithm to predict prices of multiple cryptocurrencies publication-title: Eur. J. Bus. Manag. Res. doi: 10.24018/ejbmr.2021.6.5.1056 – year: 2010 ident: 10.1016/j.scitotenv.2024.170085_bb0160 article-title: Modeling CO2 storage using coupled reservoir-geomechanical analysis – volume: 37 start-page: 1052 year: 2009 ident: 10.1016/j.scitotenv.2024.170085_bb1050 article-title: A scalable infrastructure model for carbon capture and storage: SimCCS publication-title: Energy Policy doi: 10.1016/j.enpol.2008.09.049 – volume: 183 start-page: 1633 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb1580 article-title: Review of pre-combustion capture and ionic liquid in carbon capture and storage publication-title: Appl. Energy doi: 10.1016/j.apenergy.2016.09.103 – volume: 761 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1720 article-title: Progress in carbon capture technologies publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2020.143203 – volume: 131 start-page: 265 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1890 article-title: Prediction of carbon dioxide adsorption via deep learning publication-title: Angew. Chem. doi: 10.1002/ange.201812363 – start-page: 12036 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb0250 article-title: Life cycle assessment of carbon capture, utilisation and storage technologies: an analytical review – volume: 114 start-page: 18538 year: 2010 ident: 10.1016/j.scitotenv.2024.170085_bb1730 article-title: Effect of surface group functionalization on the CO2/N2 separation properties of MCM-41: a grand-canonical Monte Carlo simulation study publication-title: J. Phys. Chem. C doi: 10.1021/jp105464u – volume: 204 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0750 article-title: Conventional versus modular construction methods: a comparative cradle-to-gate LCA for residential buildings publication-title: Energ. Buildings doi: 10.1016/j.enbuild.2019.109479 – ident: 10.1016/j.scitotenv.2024.170085_bb0210 doi: 10.1021/acs.est.9b07407 – volume: 3 start-page: 49 year: 2009 ident: 10.1016/j.scitotenv.2024.170085_bb1280 article-title: Life cycle assessment of carbon dioxide capture and storage from lignite power plants publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2008.07.001 – ident: 10.1016/j.scitotenv.2024.170085_bb1875 doi: 10.1021/acs.iecr.9b06437 – volume: 113 start-page: 770 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb1800 article-title: Modeling of the oxy-combustion calciner in the post-combustion calcium looping process publication-title: Fuel doi: 10.1016/j.fuel.2012.11.041 – ident: 10.1016/j.scitotenv.2024.170085_bb0460 doi: 10.1021/acs.energyfuels.6b02800 – year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1075 article-title: 11 examples of AI climate change solutions for zero carbon publication-title: Forbes – volume: 332 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1595 article-title: Environmental impacts of carbon capture and utilization by mineral carbonation: a systematic literature review and meta life cycle assessment publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2021.130067 – volume: 5 start-page: 3973 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0960 article-title: Design of a rapid vacuum pressure swing adsorption (RVPSA) process for post-combustion CO2 capture from a biomass-fuelled CHP plant publication-title: J. Environ. Chem. Eng. doi: 10.1016/j.jece.2017.07.029 – volume: 75 start-page: 2311 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb1545 article-title: Study on DSS for CCUS source-sink matching publication-title: Energy Procedia doi: 10.1016/j.egypro.2015.07.428 – volume: 8 start-page: 1144 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1480 article-title: CO2 utilization via integration of an industrial post-combustion capture process with a urea plant: process modelling and sensitivity analysis publication-title: Processes doi: 10.3390/pr8091144 – volume: 52 start-page: 10236 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb1190 article-title: Optimization of CO2 capture process with aqueous amines: a comparison of two simulation–optimization approaches publication-title: Ind. Eng. Chem. Res. doi: 10.1021/ie3029366 – volume: 10 start-page: 36766 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1760 article-title: Image enhancement algorithm based on GAN neural network publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3163241 – volume: 279 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1815 article-title: Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework publication-title: Appl. Energy doi: 10.1016/j.apenergy.2020.115695 – ident: 10.1016/j.scitotenv.2024.170085_bb0030 – volume: 145 start-page: 1751 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0220 article-title: Application of artificial intelligence on the CO2 capture: a review publication-title: J. Therm. Anal. Calorim. doi: 10.1007/s10973-021-10777-4 – start-page: 1 year: 2011 ident: 10.1016/j.scitotenv.2024.170085_bb0265 article-title: BP neural network prediction of calcium-based sorbent calcination/carbonation cycle – volume: 3 start-page: 1106 year: 2010 ident: 10.1016/j.scitotenv.2024.170085_bb0105 article-title: Comparative study of solvent properties for carbon dioxide absorption publication-title: Energy Environ. Sci. doi: 10.1039/c002915g – volume: 7 start-page: 2137 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0390 article-title: Amine-based CO2 capture technology development from the beginning of 2013: a review publication-title: ACS Appl. Mater. Interfaces doi: 10.1021/am507465f – volume: 11 start-page: 25 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb0055 article-title: Machine learning-assisted selection of adsorption-based carbon dioxide capture materials publication-title: J. Environ. Chem. Eng. doi: 10.1016/j.jece.2023.110732 – volume: 877 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb1905 article-title: Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: implications for carbon capture utilization and storage publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2023.162944 – volume: 231 start-page: 98 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0150 article-title: Cradle-to-grave life cycle assessment (LCA) of low-impact-development (LID) technologies in southern Ontario publication-title: J. Environ. Manag. doi: 10.1016/j.jenvman.2018.10.033 – ident: 10.1016/j.scitotenv.2024.170085_bb1695 doi: 10.1088/1748-9326/abfeec – volume: 27 start-page: 1554 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1840 article-title: Recent advances on first-principles modeling for the design of materials in CO2 capture technologies publication-title: Chin. J. Chem. Eng. doi: 10.1016/j.cjche.2018.10.017 – ident: 10.1016/j.scitotenv.2024.170085_bb1850 doi: 10.1021/acs.est.1c01849 – volume: 15 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb1045 article-title: A review of conventional versus additive manufacturing for metals: life-cycle environmental and economic analysis publication-title: Sustainability doi: 10.3390/su151612299 – volume: 7 start-page: 1201 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0375 article-title: Machine learning in chemical engineering: strengths, weaknesses, opportunities, and threats publication-title: Engineering doi: 10.1016/j.eng.2021.03.019 – year: 2004 ident: 10.1016/j.scitotenv.2024.170085_bb0590 – ident: 10.1016/j.scitotenv.2024.170085_bb0850 doi: 10.1016/j.compchemeng.2019.106569 – volume: 4 start-page: 2301 year: 2011 ident: 10.1016/j.scitotenv.2024.170085_bb1085 article-title: Modelling of accidental releases from a high pressure CO2 pipelines publication-title: Energy Procedia doi: 10.1016/j.egypro.2011.02.120 – ident: 10.1016/j.scitotenv.2024.170085_bb1495 – volume: 241 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1245 article-title: Experimentally validated machine learning frameworks for accelerated prediction of cyclic steady state and optimization of pressure swing adsorption processes publication-title: Sep. Purif. Technol. doi: 10.1016/j.seppur.2020.116651 – volume: 92 start-page: 328 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0480 article-title: Life cycle assessment of an integrated oxy-fuel combustion power plant with CO2 capture, transport and storage—Poland case study publication-title: Energy doi: 10.1016/j.energy.2015.07.052 – volume: 90 start-page: 1543 year: 2009 ident: 10.1016/j.scitotenv.2024.170085_bb0950 article-title: Thermodynamics and regeneration of CO2 adsorption on mesoporous spherical-silica particles publication-title: Fuel Process. Technol. doi: 10.1016/j.fuproc.2009.08.002 – volume: 14 start-page: 6122 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1775 article-title: Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)—a state-of-the-art review publication-title: Energy Environ. Sci. doi: 10.1039/D1EE02395K – volume: 35 start-page: 117 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb1740 article-title: Analysis of pipeline transportation systems for carbon dioxide sequestration publication-title: Arch. Thermodyn. doi: 10.2478/aoter-2014-0008 – ident: 10.1016/j.scitotenv.2024.170085_bb1060 doi: 10.1016/j.envsoft.2019.104560 – start-page: 51 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0740 article-title: Comparability of life cycle assessments: modelling and analyzing LCA using different databases – volume: 2 start-page: 990 year: 1996 ident: 10.1016/j.scitotenv.2024.170085_bb0435 article-title: What Monte Carlo methods cannot do publication-title: Hum. Ecol. Risk Assess. An Int. J. doi: 10.1080/10807039609383659 – volume: 31 start-page: 2157 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb1305 article-title: A review of the potential for CO2 sequestration and enhanced gas recovery in an Iranian gas condensate reservoir from a fluid properties point of view publication-title: Pet. Sci. Technol. doi: 10.1080/10916466.2010.549891 – start-page: 142 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1625 article-title: Solvents for carbon dioxide capture publication-title: Carbon Dioxide Chem. Capture Oil Recover. – volume: 36 start-page: 260 year: 2010 ident: 10.1016/j.scitotenv.2024.170085_bb0165 article-title: The calcium looping cycle for large-scale CO2 capture publication-title: Prog. Energy Combust. Sci. doi: 10.1016/j.pecs.2009.10.001 – volume: 12 start-page: 687 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0345 article-title: Noble-metal-free heterojunction photocatalyst for selective CO2 reduction to methane upon induced strain relaxation publication-title: ACS Catal. doi: 10.1021/acscatal.1c04587 – volume: 1 start-page: 1219 year: 2009 ident: 10.1016/j.scitotenv.2024.170085_bb0510 article-title: Electric swing adsorption as emerging CO2 capture technique publication-title: Energy Procedia doi: 10.1016/j.egypro.2009.01.160 – volume: 263 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1585 article-title: Environmental impacts of CO2-based chemical production: a systematic literature review and meta-analysis publication-title: Appl. Energy doi: 10.1016/j.apenergy.2020.114599 – volume: 85 start-page: 1 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1435 article-title: A tutorial on Gaussian process regression: modelling, exploring, and exploiting functions publication-title: J. Math. Psychol. doi: 10.1016/j.jmp.2018.03.001 – volume: 215 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1450 article-title: A machine learning approach for modeling and optimization of a CO2 post-combustion capture unit publication-title: Energy doi: 10.1016/j.energy.2020.119113 – volume: 14 start-page: 995 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0450 article-title: Analytical review of life-cycle environmental impacts of carbon capture and utilization technologies publication-title: ChemSusChem doi: 10.1002/cssc.202002126 – volume: 37 start-page: 806 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb0500 article-title: Effect of CO2 purity on energy requirement of CO2 capture processes publication-title: Energy Procedia doi: 10.1016/j.egypro.2013.05.171 – year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1805 – volume: 6 start-page: 3203 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0090 article-title: autumn: a Python library for dynamic modelling of captured CO\~{ } 2\~{ } cost potential curves publication-title: J. Open Source Softw. doi: 10.21105/joss.03203 – volume: 26 start-page: 152 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1885 article-title: Machine learning predictive framework for CO2 thermodynamic properties in solution publication-title: J. CO2 Util. doi: 10.1016/j.jcou.2018.04.025 – ident: 10.1016/j.scitotenv.2024.170085_bb0965 doi: 10.1016/j.egypro.2011.02.208 – year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0225 – volume: 4 start-page: 336 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb0315 article-title: Carbon sequestration through CO2 foam-enhanced oil recovery: a green chemistry perspective publication-title: Engineering doi: 10.1016/j.eng.2018.05.006 – volume: 886 start-page: 9 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb1310 article-title: Artificial intelligence enabled carbon capture: a review publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2023.163913 – volume: 76 start-page: 71 year: 2004 ident: 10.1016/j.scitotenv.2024.170085_bb0565 article-title: An experimental adsorbent screening study for CO2 removal from N2 publication-title: Microporous Mesoporous Mater. doi: 10.1016/j.micromeso.2004.07.035 – volume: 6 start-page: 2721 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb1655 article-title: Life-cycle assessment of carbon dioxide capture and utilization: avoiding the pitfalls publication-title: Energy Environ. Sci. doi: 10.1039/c3ee41151f – volume: 127 start-page: 186 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0065 article-title: Towards improved genetic programming based-correlations for predicting the interfacial tension of the systems pure/impure CO2-brine publication-title: J. Taiwan Inst. Chem. Eng. doi: 10.1016/j.jtice.2021.08.010 – ident: 10.1016/j.scitotenv.2024.170085_bb1160 – volume: 13 start-page: 397 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0530 article-title: Carbon dioxide capture through physical and chemical adsorption using porous carbon materials: a review publication-title: Atmosphere (Basel) doi: 10.3390/atmos13030397 – start-page: 141 year: 2006 ident: 10.1016/j.scitotenv.2024.170085_bb0785 article-title: Biosorption of heavy metals and cyanide complexes on biomass publication-title: Stud. Surf. Sci. Catal. doi: 10.1016/S0167-2991(06)81553-3 – volume: 6 start-page: 831 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0875 article-title: In silico prediction of pesticide aquatic toxicity with chemical category approaches publication-title: Toxicol. Res. (Camb.) doi: 10.1039/C7TX00144D – volume: 108318 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1005 article-title: A long short-term memory based Quasi-Virtual Analyzer for dynamic real-time soft sensing of a Simulated Moving Bed unit publication-title: Appl. Soft Comput. – volume: 210 start-page: 271 year: 2012 ident: 10.1016/j.scitotenv.2024.170085_bb1575 article-title: A kinetic and process modeling study of CO2 capture with MEA-promoted potassium carbonate solutions publication-title: Chem. Eng. J. doi: 10.1016/j.cej.2012.08.092 – volume: 30 start-page: 259 year: 2007 ident: 10.1016/j.scitotenv.2024.170085_bb1605 article-title: Modeling Wyoming’s carbon dioxide pipeline network. Energy Sources publication-title: Part A Recover. Util. Environ. Eff. – ident: 10.1016/j.scitotenv.2024.170085_bb1935 doi: 10.1016/j.jclepro.2020.124419 – volume: 57 start-page: 10967 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1285 article-title: Reuse of CO 2 in energy intensive process industries publication-title: Chem. Commun. doi: 10.1039/D1CC03154F – volume: 378 start-page: 686 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb3000 article-title: Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations publication-title: J. Comput. Phys. doi: 10.1016/j.jcp.2018.10.045 – volume: 196 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1750 article-title: Intelligent predictive control of large-scale solvent-based CO2 capture plant using artificial neural network and particle swarm optimization publication-title: Energy doi: 10.1016/j.energy.2020.117070 – volume: 97 start-page: 7 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb1320 article-title: Flexible dynamic operation of solar-integrated power plant with solvent based post-combustion carbon capture (PCC) process publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2015.02.074 – volume: 119 start-page: 15232 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb1345 article-title: CO2 adsorption on charged carbon nanotube arrays: a possible functional material for electric swing adsorption publication-title: J. Phys. Chem. C doi: 10.1021/acs.jpcc.5b02874 – volume: 9 start-page: 651 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb1365 article-title: Experimenting XGBoost algorithm for prediction and classification of different datasets publication-title: Int. J. Control Theory Appl. – year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0050 – volume: 4 start-page: 1 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0560 article-title: Review of carbon-dioxide storage potential in Western Canada: blue hydrogen roadmap to 2050 publication-title: Transit. Accel. Reports – volume: 359 start-page: 140 year: 2010 ident: 10.1016/j.scitotenv.2024.170085_bb0690 article-title: A feasibility study of CO2 capture from flue gas by a facilitated transport membrane publication-title: J. Membr. Sci. doi: 10.1016/j.memsci.2009.11.035 – volume: 5 start-page: 121 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1725 article-title: An electro-swing approach. Nat publication-title: Energy – volume: 300 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0790 article-title: Computational-cost-efficient surrogate model of vacuum pressure swing adsorption for CO separation process optimization publication-title: Sep. Purif. Technol. doi: 10.1016/j.seppur.2022.121827 – volume: 25 start-page: 197 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb0155 article-title: A random forest guided tour publication-title: Test doi: 10.1007/s11749-016-0481-7 – volume: 47 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1155 article-title: A CFD study of a direct solar-driven desorption process for carbon capture under transient conditions publication-title: Sustain. Energy Technol. Assessments – volume: 19 start-page: 530 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb1230 article-title: Process integration of a Ca-looping carbon capture process in a cement plant publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2013.10.009 – volume: 239 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0455 article-title: Fines migration and mineral reactions as a mechanism for CO2 residual trapping during CO2 sequestration publication-title: Energy doi: 10.1016/j.energy.2021.122233 – ident: 10.1016/j.scitotenv.2024.170085_bb1065 doi: 10.1146/annurev-chembioeng-060713-040321 – volume: 3 start-page: 892 year: 2010 ident: 10.1016/j.scitotenv.2024.170085_bb0515 article-title: Challenges of electric swing adsorption for CO2 capture publication-title: ChemSusChem doi: 10.1002/cssc.201000059 – volume: 36 start-page: 367 year: 2008 ident: 10.1016/j.scitotenv.2024.170085_bb1195 article-title: Life cycle GHG assessment of fossil fuel power plants with carbon capture and storage publication-title: Energy Policy doi: 10.1016/j.enpol.2007.09.026 – volume: 238 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0755 article-title: Post-combustion carbon capture by membrane separation publication-title: Review. Sep. Purif. Technol. – volume: 42 start-page: 165 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0825 article-title: Life-cycle GHG assessment of carbon capture, use and geological storage (CCUS) for linked primary energy and electricity production publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2015.07.017 – start-page: 1 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0535 article-title: The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective publication-title: JOM – volume: 12 start-page: 315 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb0360 article-title: Mature versus emerging technologies for CO 2 capture in power plants: key open issues in post-combustion amine scrubbing and in chemical looping combustion publication-title: Front. Chem. Sci. Eng. doi: 10.1007/s11705-017-1698-z – volume: 39 start-page: 149 year: 2012 ident: 10.1016/j.scitotenv.2024.170085_bb0705 article-title: Heat of adsorption, adsorption energy and activation energy in adsorption and ion exchange systems publication-title: Desalin. Water Treat. doi: 10.5004/dwt.2012.3000 – volume: 266 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0955 article-title: Carbon dioxide transport via pipelines: a systematic review publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2020.121994 – volume: 63 start-page: 7290 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb0715 article-title: A tool for integrated multi-criteria assessment of the CCS value chain publication-title: Energy Procedia doi: 10.1016/j.egypro.2014.11.765 – ident: 10.1016/j.scitotenv.2024.170085_bb1385 doi: 10.1145/3485128 – volume: 14 start-page: 336 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0600 article-title: Life cycle assessment of cross-laminated timber transportation from three origin points publication-title: Sustainability doi: 10.3390/su14010336 – volume: 22 start-page: 25 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb0795 article-title: Improved cost models for optimizing CO2 pipeline configuration for point-to-point pipelines and simple networks publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2013.12.016 – volume: 51 start-page: 609 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb0615 article-title: Carbon dioxide capture by adsorption publication-title: J. Chem. Technol. Metall. – volume: 1 start-page: 211 year: 2011 ident: 10.1016/j.scitotenv.2024.170085_bb0905 article-title: Parameters affecting mineral trapping of CO2 sequestration in brines publication-title: Greenh. Gases Sci. Technol. doi: 10.1002/ghg.29 – year: 1997 ident: 10.1016/j.scitotenv.2024.170085_bb1410 – volume: 530 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0020 article-title: Thermodynamic features-driven machine learning-based predictions of clathrate hydrate equilibria in the presence of electrolytes publication-title: Fluid Phase Equilib. doi: 10.1016/j.fluid.2020.112894 – volume: 627 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1845 article-title: Imputation of missing gas permeability data for polymer membranes using machine learning publication-title: J. Membr. Sci. doi: 10.1016/j.memsci.2021.119207 – volume: 28 start-page: 4615 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb0725 article-title: Low-carbon power system dispatch incorporating carbon capture power plants publication-title: IEEE Trans. power Syst. doi: 10.1109/TPWRS.2013.2274176 – volume: 9 year: 1996 ident: 10.1016/j.scitotenv.2024.170085_bb1620 article-title: Support vector method for function approximation, regression estimation and signal processing publication-title: Adv. Neural Inf. Proces. Syst. – volume: 264 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1810 article-title: Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects publication-title: Fuel doi: 10.1016/j.fuel.2019.116758 – volume: 4 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1940 article-title: Life-cycle and techno-economic assessment of early-stage carbon capture and utilization technologies—a discussion of current challenges and best practices publication-title: Front. Clim. doi: 10.3389/fclim.2022.841907 – ident: 10.1016/j.scitotenv.2024.170085_bb1425 – volume: 277 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0925 article-title: Evaluation of CO2 sequestration capacity in complex-boundary-shape shale gas reservoirs using projection-based embedded discrete fracture model (pEDFM) publication-title: Fuel doi: 10.1016/j.fuel.2020.118201 – volume: 4 start-page: 3040 year: 2011 ident: 10.1016/j.scitotenv.2024.170085_bb0900 article-title: Dynamic simulation of a carbon dioxide transfer pipeline for analysis of normal operation and failure modes publication-title: Energy Procedia doi: 10.1016/j.egypro.2011.02.215 – volume: 210 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0890 article-title: A well rate prediction method based on LSTM algorithm considering manual operations publication-title: J. Pet. Sci. Eng. doi: 10.1016/j.petrol.2021.110047 – volume: 91 start-page: 2721 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb1215 article-title: Planning of carbon capture and storage with pinch analysis techniques publication-title: Chem. Eng. Res. Des. doi: 10.1016/j.cherd.2013.04.007 – volume: 12 start-page: 6111 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb1670 article-title: Machine-learning-accelerated catalytic activity predictions of transition metal phthalocyanine dual-metal-site catalysts for CO2 reduction publication-title: J. Phys. Chem. Lett. doi: 10.1021/acs.jpclett.1c01526 – volume: 141 start-page: 11651 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0275 article-title: Identifying active sites for CO2 reduction on dealloyed gold surfaces by combining machine learning with multiscale simulations publication-title: J. Am. Chem. Soc. doi: 10.1021/jacs.9b04956 – volume: 30 start-page: 9 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb0190 article-title: Modelling the non-equilibrium two-phase flow during depressurisation of CO2 pipelines publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2014.08.013 – volume: 25 start-page: 168 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb0120 article-title: Comparing sources and analysis of uncertainty in consequential and attributional life cycle assessment: review of current practice and recommendations publication-title: Int. J. Life Cycle Assess. doi: 10.1007/s11367-019-01663-1 – volume: 37 start-page: 1554 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb0135 article-title: Optimization of CO2 capture from flue gas with promoted potassium carbonate solutions publication-title: Energy Procedia doi: 10.1016/j.egypro.2013.06.031 – ident: 10.1016/j.scitotenv.2024.170085_bb0130 – volume: 42 start-page: 1499 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1645 article-title: Impact of a new geological modelling method on the enhancement of the CO2 storage assessment of E sequence of Nam Vang field, offshore Vietnam. Energy Sources publication-title: Part A Recover. Util. Environ. Eff. – volume: 307 start-page: 18 issue: Part 3 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1790 article-title: A systematic review of the molecular simulation of hybrid membranes for performance enhancements and contaminant removals publication-title: Chemosphere – volume: 108 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0335 article-title: Life cycle assessment of carbon capture and storage/utilization: from current state to future research directions and opportunities publication-title: Int. J. Greenh. Gas Control – ident: 10.1016/j.scitotenv.2024.170085_bb0710 doi: 10.1088/1748-9326/10/12/125002 – volume: 23 start-page: 5768 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb1705 article-title: Membrane-based carbon capture technology: challenges and opportunities in Indonesia publication-title: Adv. Sci. Lett. doi: 10.1166/asl.2017.8827 – volume: 138 year: 2021 ident: 10.1016/j.scitotenv.2024.170085_bb0230 article-title: Post-combustion carbon capture publication-title: Renew. Sust. Energ. Rev. doi: 10.1016/j.rser.2020.110490 – ident: 10.1016/j.scitotenv.2024.170085_bb1510 doi: 10.1021/acs.est.7b02862 – volume: 7 start-page: 9984 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0060 article-title: Carbon dioxide applications for enhanced oil recovery assisted by nanoparticles: recent developments publication-title: ACS Omega doi: 10.1021/acsomega.1c07123 – volume: 17 start-page: 399 year: 2006 ident: 10.1016/j.scitotenv.2024.170085_bb0605 article-title: Two-phase flow metering of heavy oil using a Coriolis mass flow meter: a case study publication-title: Flow Meas. Instrum. doi: 10.1016/j.flowmeasinst.2006.07.008 – volume: 151 start-page: 156 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0870 article-title: Modelling of a post-combustion CO2 capture process using neural networks publication-title: Fuel doi: 10.1016/j.fuel.2015.02.038 – ident: 10.1016/j.scitotenv.2024.170085_bb1225 doi: 10.1021/acs.est.1c04092 – volume: 58 start-page: 565 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb1010 article-title: LCA databases focused on construction materials: a review publication-title: Renew. Sust. Energ. Rev. doi: 10.1016/j.rser.2015.12.243 – volume: 15 start-page: 16 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb1000 article-title: A new simplified pressure/vacuum swing adsorption model for rapid adsorbent screening for CO2 capture applications publication-title: Int. J. Greenh. Gas Control doi: 10.1016/j.ijggc.2013.01.009 – volume: 61 start-page: 972 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb1675 article-title: Application of polyethylenimine-impregnated solid adsorbents for direct capture of low-concentration CO2 publication-title: AICHE J. doi: 10.1002/aic.14679 – ident: 10.1016/j.scitotenv.2024.170085_bb0845 doi: 10.1016/j.compchemeng.2019.04.001 – volume: 10 start-page: 1303 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb1270 article-title: Carbon dioxide capture adsorbents: chemistry and methods publication-title: ChemSusChem doi: 10.1002/cssc.201601545 – ident: 10.1016/j.scitotenv.2024.170085_bb1920 doi: 10.1038/s41586-020-2242-8 – volume: 7 start-page: 230 year: 2002 ident: 10.1016/j.scitotenv.2024.170085_bb1035 article-title: Using Monte Carlo simulation in life cycle assessment for electric and internal combustion vehicles publication-title: Int. J. Life Cycle Assess. doi: 10.1007/BF02978878 – ident: 10.1016/j.scitotenv.2024.170085_bb0620 doi: 10.1016/j.ccst.2022.100044 – volume: 30 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb4000 article-title: Attention is all you need publication-title: Adv. Neural Inf. Proces. Syst. – volume: 32 start-page: 286 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb0445 article-title: Evaluation of multi-phase atmospheric dispersion models for application to Carbon Capture and Storage publication-title: J. Loss Prev. Process Ind. doi: 10.1016/j.jlp.2014.09.014 – volume: 39 start-page: 426 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb0865 article-title: An overview of current status of carbon dioxide capture and storage technologies publication-title: Renew. Sust. Energ. Rev. doi: 10.1016/j.rser.2014.07.093 – start-page: 5016 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb1420 article-title: Investigating the impact of Cryogenic Carbon Capture on power plant performance – ident: 10.1016/j.scitotenv.2024.170085_bb1895 doi: 10.1016/j.compchemeng.2020.106885 – volume: 255 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0970 article-title: Review of application of molecular dynamics simulations in geological sequestration of carbon dioxide publication-title: Fuel doi: 10.1016/j.fuel.2019.115644 – ident: 10.1016/j.scitotenv.2024.170085_bb1360 doi: 10.1021/ie3003705 – year: 2011 ident: 10.1016/j.scitotenv.2024.170085_bb1735 article-title: Parallel simulation of CO2 sequestration with rock deformation in saline aquifers – volume: 114 start-page: 1075 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0195 article-title: Novel advanced solvent-based carbon capture pilot demonstration at the National Carbon Capture Center publication-title: Energy Procedia doi: 10.1016/j.egypro.2017.03.1260 – volume: 122 start-page: 388 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1325 article-title: Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2019.01.011 – start-page: 1 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb1250 article-title: Pre-combustion carbon capture publication-title: Handb. Clean Energy Syst. – volume: 3 start-page: 11 year: 2023 ident: 10.1016/j.scitotenv.2024.170085_bb1690 article-title: The role of machine learning in carbon neutrality: catalyst property prediction, design, and synthesis for carbon dioxide reduction publication-title: eScience doi: 10.1016/j.esci.2023.100136 – volume: 63 start-page: 1055 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb0405 article-title: A framework for optimization and quantification of uncertainty and sensitivity for developing carbon capture systems publication-title: Energy Procedia doi: 10.1016/j.egypro.2014.11.113 – volume: 183 start-page: 41 year: 2016 ident: 10.1016/j.scitotenv.2024.170085_bb0495 article-title: An overview of biological processes and their potential for CO2 capture publication-title: J. Environ. Manag. doi: 10.1016/j.jenvman.2016.08.054 – volume: 114 start-page: 2658 year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0945 article-title: A compararitive review of next-generation carbon capture technologies for coal-fired power plant publication-title: Energy Procedia doi: 10.1016/j.egypro.2017.03.1850 – volume: 323 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1615 article-title: CO2 regeneration energy requirement of carbon capture process with an enhanced waste heat recovery from stripped gas by advanced transport membrane condenser publication-title: Appl. Energy doi: 10.1016/j.apenergy.2022.119593 – volume: 308 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1765 article-title: A review on the progress and prospects of oxy-fuel carbon capture and sequestration (CCS) technology publication-title: Fuel doi: 10.1016/j.fuel.2021.122057 – volume: 318 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0145 article-title: Surface engineering of Au nanostructures for plasmon-enhanced electrochemical reduction of N2 and CO2 into urea in the visible-NIR region publication-title: Appl. Energy doi: 10.1016/j.apenergy.2022.119244 – volume: 90 start-page: 244 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb0430 article-title: Design and analysis of the natural gas liquefaction optimization process-CCC-ES (energy storage of cryogenic carbon capture) publication-title: Energy doi: 10.1016/j.energy.2015.05.139 – volume: 10 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb1200 article-title: The importance of modeling carbon dioxide transportation and geologic storage in energy system planning tools publication-title: Front. Energy Res. doi: 10.3389/fenrg.2022.855105 – volume: 3 start-page: 66 year: 2013 ident: 10.1016/j.scitotenv.2024.170085_bb1030 article-title: Simulation-based estimates of safety distances for pipeline transportation of carbon dioxide publication-title: Greenh. Gases Sci. Technol. doi: 10.1002/ghg.1318 – volume: 803 year: 2022 ident: 10.1016/j.scitotenv.2024.170085_bb0005 article-title: Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: a comprehensive review and outlook publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2021.149834 – volume: 81 start-page: 2563 year: 2018 ident: 10.1016/j.scitotenv.2024.170085_bb1210 article-title: A systematic review of key challenges of CO2 transport via pipelines publication-title: Renew. Sust. Energ. Rev. doi: 10.1016/j.rser.2017.06.064 – volume: 239 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb0340 article-title: Modeling CO2 wettability behavior at the interface of brine/CO2/mineral: application to CO2 geo-sequestration publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2019.118101 – year: 2017 ident: 10.1016/j.scitotenv.2024.170085_bb0295 – volume: 118 start-page: 7369 year: 2014 ident: 10.1016/j.scitotenv.2024.170085_bb1745 article-title: Fluorine-modified porous graphene as membrane for CO2/N2 separation: molecular dynamic and first-principles simulations publication-title: J. Phys. Chem. C doi: 10.1021/jp4096776 – ident: 10.1016/j.scitotenv.2024.170085_bb0320 – volume: 7 year: 2020 ident: 10.1016/j.scitotenv.2024.170085_bb1550 article-title: Life cycle assessment and Monte Carlo simulation to evaluate the environmental impact of promoting LNG vehicles publication-title: MethodsX doi: 10.1016/j.mex.2020.101046 – ident: 10.1016/j.scitotenv.2024.170085_bb1880 doi: 10.1016/j.compfluid.2012.04.027 – ident: 10.1016/j.scitotenv.2024.170085_bb1900 doi: 10.1002/smtd.202100987 – ident: 10.1016/j.scitotenv.2024.170085_bb1150 – start-page: 657 year: 2019 ident: 10.1016/j.scitotenv.2024.170085_bb1515 article-title: Chapter 15 - hydrogen production – volume: 159 start-page: 354 year: 2015 ident: 10.1016/j.scitotenv.2024.170085_bb1830 article-title: CO2 injection for enhanced oil recovery in Bakken tight oil reservoirs publication-title: Fuel doi: 10.1016/j.fuel.2015.06.092 |
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