Life cycle sustainability decision-support framework for CO2 chemical conversion technologies under uncertainties
[Display omitted] •Establishing a life cycle sustainability evaluation system from technical, economic, and environmental perspectives.•Proposing a novel integrated MCDM model to aggregate multi-dimensional sustainability performances.•Coping with the external and internal uncertainties in judgments...
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| Published in: | Energy conversion and management Vol. 288; p. 117113 |
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| Main Authors: | , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
15.07.2023
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| ISSN: | 0196-8904, 1879-2227 |
| Online Access: | Get full text |
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| Abstract | [Display omitted]
•Establishing a life cycle sustainability evaluation system from technical, economic, and environmental perspectives.•Proposing a novel integrated MCDM model to aggregate multi-dimensional sustainability performances.•Coping with the external and internal uncertainties in judgments and decision-making.•Providing a well-informed benchmark to support the screening and selection of CO2 conversion technologies.•Exploring the improvement opportunities and limits for short- and mid-term implementation in industries.
With the emergence of numerous CO2 chemical conversion technologies to simultaneously reduce CO2 emissions and produce value-added products, it is of great importance to compare their difference and select the most sustainable routes for future development. This study quantitatively evaluated the sustainability performances of 21 alternative CO2 conversion technologies from economic, technical, and environmental perspectives and developed a novel Multi-criteria Decision-making (MCDM) model to prioritize the alternatives. To cope with the external and internal uncertainties during the decision-making, Interval-Rough Numbers (IRNs) were firstly used to deal with subjective vagueness and information incompleteness involved in the group judgements unavoidably. Secondly, DEMATEL-ANP was employed based on IRNs to specify the correlation type and degree among diverse criteria for determining the global weights accurately. Lastly, a Vector-based Algorithm method was applied to measure the alternatives’ overall performance and figure out the final ranking scores of sustainability. The results revealed that CO2 to methane, urea, methanol, dimethyl ether, and acetic acid were the top five promising conversion technologies with the highest R&D priority over the next decades from a sustainability perspective. Moreover, a detailed sensitivity analysis of criteria weights was conducted to scrutinize the effectiveness of the ranking results and to validate the reliability of the new proposed MCDM model. Furthermore, in consideration of the complexity of future technological advance, market transformation, economic and social trends, this life cycle sustainability decision-support framework for CO2 conversion technologies provides a well-informed benchmark to support the screening and selection of candidate technologies including both the existing and emerging processes, and strategically explore the development opportunities and limits under uncertainties. |
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| AbstractList | [Display omitted]
•Establishing a life cycle sustainability evaluation system from technical, economic, and environmental perspectives.•Proposing a novel integrated MCDM model to aggregate multi-dimensional sustainability performances.•Coping with the external and internal uncertainties in judgments and decision-making.•Providing a well-informed benchmark to support the screening and selection of CO2 conversion technologies.•Exploring the improvement opportunities and limits for short- and mid-term implementation in industries.
With the emergence of numerous CO2 chemical conversion technologies to simultaneously reduce CO2 emissions and produce value-added products, it is of great importance to compare their difference and select the most sustainable routes for future development. This study quantitatively evaluated the sustainability performances of 21 alternative CO2 conversion technologies from economic, technical, and environmental perspectives and developed a novel Multi-criteria Decision-making (MCDM) model to prioritize the alternatives. To cope with the external and internal uncertainties during the decision-making, Interval-Rough Numbers (IRNs) were firstly used to deal with subjective vagueness and information incompleteness involved in the group judgements unavoidably. Secondly, DEMATEL-ANP was employed based on IRNs to specify the correlation type and degree among diverse criteria for determining the global weights accurately. Lastly, a Vector-based Algorithm method was applied to measure the alternatives’ overall performance and figure out the final ranking scores of sustainability. The results revealed that CO2 to methane, urea, methanol, dimethyl ether, and acetic acid were the top five promising conversion technologies with the highest R&D priority over the next decades from a sustainability perspective. Moreover, a detailed sensitivity analysis of criteria weights was conducted to scrutinize the effectiveness of the ranking results and to validate the reliability of the new proposed MCDM model. Furthermore, in consideration of the complexity of future technological advance, market transformation, economic and social trends, this life cycle sustainability decision-support framework for CO2 conversion technologies provides a well-informed benchmark to support the screening and selection of candidate technologies including both the existing and emerging processes, and strategically explore the development opportunities and limits under uncertainties. With the emergence of numerous CO₂ chemical conversion technologies to simultaneously reduce CO₂ emissions and produce value-added products, it is of great importance to compare their difference and select the most sustainable routes for future development. This study quantitatively evaluated the sustainability performances of 21 alternative CO₂ conversion technologies from economic, technical, and environmental perspectives and developed a novel Multi-criteria Decision-making (MCDM) model to prioritize the alternatives. To cope with the external and internal uncertainties during the decision-making, Interval-Rough Numbers (IRNs) were firstly used to deal with subjective vagueness and information incompleteness involved in the group judgements unavoidably. Secondly, DEMATEL-ANP was employed based on IRNs to specify the correlation type and degree among diverse criteria for determining the global weights accurately. Lastly, a Vector-based Algorithm method was applied to measure the alternatives’ overall performance and figure out the final ranking scores of sustainability. The results revealed that CO₂ to methane, urea, methanol, dimethyl ether, and acetic acid were the top five promising conversion technologies with the highest R&D priority over the next decades from a sustainability perspective. Moreover, a detailed sensitivity analysis of criteria weights was conducted to scrutinize the effectiveness of the ranking results and to validate the reliability of the new proposed MCDM model. Furthermore, in consideration of the complexity of future technological advance, market transformation, economic and social trends, this life cycle sustainability decision-support framework for CO₂ conversion technologies provides a well-informed benchmark to support the screening and selection of candidate technologies including both the existing and emerging processes, and strategically explore the development opportunities and limits under uncertainties. |
| ArticleNumber | 117113 |
| Author | Gao, Ying Zhang, Leiyu Zhang, Chundong Jun, Ki-Won Wan, Hui Gao, Ruxing Wang, Lei Guan, Guofeng Zhao, Tiansheng Liu, Tao Kim, Seok Ki |
| Author_xml | – sequence: 1 givenname: Ruxing surname: Gao fullname: Gao, Ruxing organization: School of Energy Science and Engineering, Nanjing Tech University, Nanjing 211816, PR China – sequence: 2 givenname: Lei surname: Wang fullname: Wang, Lei organization: School of Energy Science and Engineering, Nanjing Tech University, Nanjing 211816, PR China – sequence: 3 givenname: Leiyu surname: Zhang fullname: Zhang, Leiyu organization: State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing 211816, PR China – sequence: 4 givenname: Chundong surname: Zhang fullname: Zhang, Chundong email: zhangcd@njtech.edu.cn organization: State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing 211816, PR China – sequence: 5 givenname: Tao surname: Liu fullname: Liu, Tao organization: School of Energy Science and Engineering, Nanjing Tech University, Nanjing 211816, PR China – sequence: 6 givenname: Ki-Won surname: Jun fullname: Jun, Ki-Won organization: C1 Gas Separation and Conversion Research Group, Carbon Resources Institute, Korea Research Institute of Chemical Technology (KRICT), Yuseong, Daejeon 34114, Republic of Korea – sequence: 7 givenname: Seok Ki surname: Kim fullname: Kim, Seok Ki organization: Department of Chemical Engineering, Ajou University, Suwon 16499, Republic of Korea – sequence: 8 givenname: Ying surname: Gao fullname: Gao, Ying organization: School of Energy Science and Engineering, Nanjing Tech University, Nanjing 211816, PR China – sequence: 9 givenname: Tiansheng surname: Zhao fullname: Zhao, Tiansheng organization: State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, Ningxia University, Yinchuan 750021, PR China – sequence: 10 givenname: Hui surname: Wan fullname: Wan, Hui organization: State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing 211816, PR China – sequence: 11 givenname: Guofeng surname: Guan fullname: Guan, Guofeng organization: State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing 211816, PR China |
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| Keywords | Uncertain information Sensitivity analysis CO2 conversion Sustainability prioritization Multi-criteria decision-making |
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•Establishing a life cycle sustainability evaluation system from technical, economic, and environmental perspectives.•Proposing a novel... With the emergence of numerous CO₂ chemical conversion technologies to simultaneously reduce CO₂ emissions and produce value-added products, it is of great... |
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| SubjectTerms | acetic acid algorithms carbon dioxide CO2 conversion energy conversion markets methane methanol Multi-criteria decision-making Sensitivity analysis Sustainability prioritization Uncertain information urea value added |
| Title | Life cycle sustainability decision-support framework for CO2 chemical conversion technologies under uncertainties |
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