Optimal Design of Resilient Carbon Capture, Utilization and Storage (CCUS) Supply Chain Networks under Facility Disruption

In recent years, various kinds of carbon dioxide capture, utilization and storage supply chain network design (CCUS SCND) problems have been extensively studied by scholars from the supply chain management community and other fields. The existing works mainly focus on the various deterministic or un...

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Vydané v:Sustainability Ročník 16; číslo 7; s. 2621
Hlavní autori: Lei, Weidong, Zhang, Wenjing, Zhu, Jiawei
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.04.2024
Predmet:
Analysis
Carbon dioxide
Carbon sequestration
Case studies
China
Emissions
Geology
Industrial locations
Industrial plant emissions
Integer programming
Linear programming
Literature reviews
Natural disasters
Optimization
Paris Agreement
Supply chain management
Sustainable development
China
ISSN:2071-1050, 2071-1050
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Abstract In recent years, various kinds of carbon dioxide capture, utilization and storage supply chain network design (CCUS SCND) problems have been extensively studied by scholars from the supply chain management community and other fields. The existing works mainly focus on the various deterministic or uncertainty problems; few works consider the CCUS SCND resilience problem in the context of utilization/storage facility disruptions due to unexpected natural disasters or other geological anomaly events. This paper aims to study the CCUS SCND resilience problem under utilization/storage facility capacity disruption risk. We propose a stochastic mixed-integer linear programming model for the considered problem. In the considered problem, the main decisions related to the following areas are taken into account: supply chain design and planning; facility disruption risk handling, including the optimal determination of facility locations and the matching of carbon dioxide emission sources and utilization/storage facilities; carbon dioxide normal transportation planning; and transshipment planning for various disruption scenarios. Finally, an experimental study comprising a case study from China is conducted to validate the effectiveness and performance of our proposed model. The obtained results show that the supply chain networks for the case study obtained by our proposed model are efficient, cost-effective and resilient in mitigating various kinds of utilization/storage facility disruption scenarios, showing the model can be applied to large-scale CCUS projects to help managers effectively deal with disruption risks. Future research should consider multiple disruption events and propose multiple effective resilience strategies.
AbstractList In recent years, various kinds of carbon dioxide capture, utilization and storage supply chain network design (CCUS SCND) problems have been extensively studied by scholars from the supply chain management community and other fields. The existing works mainly focus on the various deterministic or uncertainty problems; few works consider the CCUS SCND resilience problem in the context of utilization/storage facility disruptions due to unexpected natural disasters or other geological anomaly events. This paper aims to study the CCUS SCND resilience problem under utilization/storage facility capacity disruption risk. We propose a stochastic mixed-integer linear programming model for the considered problem. In the considered problem, the main decisions related to the following areas are taken into account: supply chain design and planning; facility disruption risk handling, including the optimal determination of facility locations and the matching of carbon dioxide emission sources and utilization/storage facilities; carbon dioxide normal transportation planning; and transshipment planning for various disruption scenarios. Finally, an experimental study comprising a case study from China is conducted to validate the effectiveness and performance of our proposed model. The obtained results show that the supply chain networks for the case study obtained by our proposed model are efficient, cost-effective and resilient in mitigating various kinds of utilization/storage facility disruption scenarios, showing the model can be applied to large-scale CCUS projects to help managers effectively deal with disruption risks. Future research should consider multiple disruption events and propose multiple effective resilience strategies.
Audience Academic
Author Zhang, Wenjing
Lei, Weidong
Zhu, Jiawei
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Cites_doi 10.3233/JIFS-202176
10.1007/s42524-021-0164-2
10.1016/j.ijggc.2022.103797
10.1002/aic.16580
10.1016/j.ijggc.2011.11.011
10.1108/09574090910954873
10.1016/j.jclepro.2021.128008
10.1016/j.jclepro.2017.03.181
10.1016/j.enconman.2018.09.023
10.1080/00207543.2016.1213446
10.1016/j.jcou.2022.102032
10.1016/B978-0-444-64241-7.50379-7
10.1016/j.ijggc.2017.08.015
10.1016/j.tre.2019.101830
10.1002/aic.16513
10.1016/B978-0-323-85159-6.50082-8
10.1108/09574090410700275
10.1080/00207543.2020.1798033
10.1016/j.cie.2018.12.007
10.1016/j.omega.2015.03.008
10.1016/j.jclepro.2022.131750
10.1016/j.jclepro.2020.122481
10.1038/s41558-020-00960-0
10.1016/j.rser.2019.109280
10.1021/ie301451e
10.1016/j.tre.2016.02.007
10.1080/00207543.2018.1461950
10.1021/sc5008253
10.1016/j.apenergy.2019.01.058
10.1016/j.apenergy.2022.120605
10.1021/ie402866d
10.1016/j.compchemeng.2021.107636
10.1016/j.compchemeng.2019.106680
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References Presser (ref_7) 2022; 49
Liu (ref_41) 2023; 40
Yavari (ref_38) 2020; 134
Wei (ref_5) 2021; 11
Mocellin (ref_11) 2018; 44
Perez (ref_10) 2016; 102
Rice (ref_25) 2003; 7
Roh (ref_13) 2019; 65
Cristiu (ref_15) 2022; 96
Lee (ref_16) 2019; 238
Han (ref_21) 2013; 52
Yazdi (ref_34) 2023; 18
Jabbarzadeh (ref_30) 2018; 56
Bezzo (ref_23) 2017; 65
Khalili (ref_35) 2017; 55
Namdar (ref_33) 2021; 59
Yue (ref_18) 2015; 3
Goldbeck (ref_32) 2020; 133
Gabrielli (ref_40) 2022; 121
He (ref_22) 2014; 53
Ostovari (ref_12) 2022; 360
Ying (ref_4) 2021; 8
Zhang (ref_14) 2019; 113
Kaur (ref_31) 2020; 139
Yue (ref_17) 2015; 45
Cardoso (ref_28) 2015; 56
Ponomarov (ref_27) 2009; 20
Zhao (ref_37) 2019; 65
(ref_43) 2017; 167
Ghosh (ref_3) 2023; 18
Shi (ref_39) 2021; 40
ref_44
Chung (ref_6) 2022; 61
Morbee (ref_19) 2012; 7
Zhang (ref_42) 2020; 270
ref_1
Li (ref_9) 2022; 157
ref_2
Ahn (ref_8) 2018; 176
Meng (ref_36) 2018; 37
Christopher (ref_26) 2004; 15
Fahimnia (ref_29) 2016; 91
Kegl (ref_24) 2021; 314
Abdoli (ref_20) 2023; 338
References_xml – volume: 96
  start-page: 85
  year: 2022
  ident: ref_15
  article-title: Optimizing carbon capture and sequestration chains from industrial sources under seismic risk constraints
  publication-title: Chem. Eng. Trans.
– volume: 40
  start-page: 9669
  year: 2021
  ident: ref_39
  article-title: Multiple strategies for supply chain to recover from major disruptions
  publication-title: J. Intell. Fuzzy Syst.
  doi: 10.3233/JIFS-202176
– volume: 18
  start-page: 1
  year: 2023
  ident: ref_3
  article-title: A PDCA based approach to evaluate green supply chain management performance under fuzzy environment
  publication-title: Int. J. Manag. Sci. Eng. Manag.
– volume: 8
  start-page: 465
  year: 2021
  ident: ref_4
  article-title: Managing supply chain resilience in the era of VUCA
  publication-title: Front. Eng.
  doi: 10.1007/s42524-021-0164-2
– volume: 121
  start-page: 103797
  year: 2022
  ident: ref_40
  article-title: Optimization and assessment of carbon capture, transport and storage supply chains for industrial sectors: The cost of resilience
  publication-title: Int. J. Greenh. Gas Control
  doi: 10.1016/j.ijggc.2022.103797
– volume: 65
  start-page: 16580
  year: 2019
  ident: ref_13
  article-title: Optimization-based identification of CO2 capture and utilization processing paths for life cycle greenhouse gas reduction and economic benefits
  publication-title: AIChE J.
  doi: 10.1002/aic.16580
– volume: 7
  start-page: 48
  year: 2012
  ident: ref_19
  article-title: Optimised deployment of a European CO2 transport network
  publication-title: Int. J. Greenh. Gas Control
  doi: 10.1016/j.ijggc.2011.11.011
– volume: 20
  start-page: 124
  year: 2009
  ident: ref_27
  article-title: Understanding the concept of supply chain resilience
  publication-title: Int. J. Logist. Manag.
  doi: 10.1108/09574090910954873
– volume: 314
  start-page: 128008
  year: 2021
  ident: ref_24
  article-title: Conceptual MINLP approach to the development of a CO2 supply chain network-simultaneous consideration of capture and utilization process flowsheets
  publication-title: J. Clean. Prod.
  doi: 10.1016/j.jclepro.2021.128008
– volume: 167
  start-page: 1354
  year: 2017
  ident: ref_43
  article-title: A modelling approach that combines pricing policies with a carbon capture and storage supply chain network
  publication-title: J. Clean. Prod.
  doi: 10.1016/j.jclepro.2017.03.181
– volume: 176
  start-page: 299
  year: 2018
  ident: ref_8
  article-title: A stochastic programming approach for the integrated network with utility supply and carbon dioxide mitigation systems in uncertain utility demand
  publication-title: Energy Convers.
  doi: 10.1016/j.enconman.2018.09.023
– volume: 55
  start-page: 1040
  year: 2017
  ident: ref_35
  article-title: Integrated production-distribution planning in two-echelon systems: A resilience view
  publication-title: Int. J. Prod. Res.
  doi: 10.1080/00207543.2016.1213446
– volume: 61
  start-page: 102032
  year: 2022
  ident: ref_6
  article-title: Computer-aided identification and evaluation of technologies for sustainable carbon capture and utilization using a superstructure approach
  publication-title: J. CO2 Util.
  doi: 10.1016/j.jcou.2022.102032
– ident: ref_1
– volume: 44
  start-page: 2305
  year: 2018
  ident: ref_11
  article-title: Towards the economic optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis. Comput
  publication-title: Aided Chem. Eng.
  doi: 10.1016/B978-0-444-64241-7.50379-7
– volume: 65
  start-page: 99
  year: 2017
  ident: ref_23
  article-title: Economic optimisation of European supply chains for CO2 capture, transport and sequestration
  publication-title: Int. J. Greenh. Gas Control
  doi: 10.1016/j.ijggc.2017.08.015
– volume: 133
  start-page: 101830
  year: 2020
  ident: ref_32
  article-title: Optimal supply chain resilience with consideration of failure propagation and repair logistics
  publication-title: Transp. Res. E-Log.
  doi: 10.1016/j.tre.2019.101830
– ident: ref_44
– volume: 7
  start-page: 22
  year: 2003
  ident: ref_25
  article-title: Building a secure and resilient supply network
  publication-title: Supply Chain. Manag. Rev.
– volume: 65
  start-page: 1006
  year: 2019
  ident: ref_37
  article-title: Resilient supply chain design and operations with decision- dependent uncertainty using a data-driven robust optimization
  publication-title: AIChE J.
  doi: 10.1002/aic.16513
– volume: 49
  start-page: 493
  year: 2022
  ident: ref_7
  article-title: Optimal sourcing, supply and development of carbon dioxide networks for enhanced oil recovery in CCUS systems
  publication-title: Comput. Aided Chem. Eng.
  doi: 10.1016/B978-0-323-85159-6.50082-8
– volume: 102
  start-page: 213
  year: 2016
  ident: ref_10
  article-title: Economic evaluation of bio-based supply chains with CO2 capture and utilisation
  publication-title: Comput. Chem. Eng.
– volume: 40
  start-page: 34
  year: 2023
  ident: ref_41
  article-title: A resilient coal supply chain network design model considering carbon emissions
  publication-title: J. Chongqing Norm. Univ. Nat. Sci. Ed.
– ident: ref_2
– volume: 15
  start-page: 1
  year: 2004
  ident: ref_26
  article-title: Building the resilient supply chain
  publication-title: Int. J. Logist. Manag.
  doi: 10.1108/09574090410700275
– volume: 59
  start-page: 1331
  year: 2021
  ident: ref_33
  article-title: Business continuity-inspired resilient supply chain network design
  publication-title: Int. J. Prod. Res.
  doi: 10.1080/00207543.2020.1798033
– volume: 139
  start-page: 105560
  year: 2020
  ident: ref_31
  article-title: Sustainable stochastic production and procurement problem for resilient supply chain
  publication-title: Comput. Ind. Eng.
  doi: 10.1016/j.cie.2018.12.007
– volume: 56
  start-page: 53
  year: 2015
  ident: ref_28
  article-title: Resilience metrics in the assessment of complex supply-chains performance operating under demand uncertainty
  publication-title: Omega
  doi: 10.1016/j.omega.2015.03.008
– volume: 360
  start-page: 131750
  year: 2022
  ident: ref_12
  article-title: A climate-optimal supply chain for CO2 capture, utilization, and storage by mineralization
  publication-title: J. Clean. Prod.
  doi: 10.1016/j.jclepro.2022.131750
– volume: 270
  start-page: 122481
  year: 2020
  ident: ref_42
  article-title: Multi-objective optimization for the deployment of carbon capture utilization and storage supply chain considering economic and environmental performance
  publication-title: J. Clean. Prod.
  doi: 10.1016/j.jclepro.2020.122481
– volume: 11
  start-page: 112
  year: 2021
  ident: ref_5
  article-title: A proposed global layout of carbon capture and storage in line with a 2 °C climate target
  publication-title: Nat. Clim. Chang.
  doi: 10.1038/s41558-020-00960-0
– volume: 37
  start-page: 110
  year: 2018
  ident: ref_36
  article-title: Design of elastic supply chain network based on interruption response
  publication-title: Logist. Technol.
– volume: 113
  start-page: 109280
  year: 2019
  ident: ref_14
  article-title: Risk management optimization framework for the optimal deployment of carbon capture and storage system under uncertainty
  publication-title: Renew. Sust. Energ. Rev.
  doi: 10.1016/j.rser.2019.109280
– volume: 52
  start-page: 3805
  year: 2013
  ident: ref_21
  article-title: A Comprehensive infrastructure assessment model for carbon capture and storage responding to climate change under uncertainty
  publication-title: Ind. Eng. Chem. Res.
  doi: 10.1021/ie301451e
– volume: 91
  start-page: 306
  year: 2016
  ident: ref_29
  article-title: Marrying supply chain sustainability and resilience: A match made in heaven
  publication-title: Transp. Res. E-Log.
  doi: 10.1016/j.tre.2016.02.007
– volume: 56
  start-page: 5945
  year: 2018
  ident: ref_30
  article-title: Resilient and sustainable supply chain design: Sustainability analysis under disruption risks
  publication-title: Prod. Res.
  doi: 10.1080/00207543.2018.1461950
– volume: 45
  start-page: 487
  year: 2015
  ident: ref_17
  article-title: Integration of geological sequestration and microalgae biofixation supply chains for better greenhouse gas emission abatement
  publication-title: Chem. Eng. Trans.
– volume: 3
  start-page: 841
  year: 2015
  ident: ref_18
  article-title: Synergies between geological sequestration and microalgae biofixation for greenhouse gas abatement: Life cycle design of carbon capture, utilization, and storage supply chains
  publication-title: ACS Sustain. Chem. Eng.
  doi: 10.1021/sc5008253
– volume: 238
  start-page: 34
  year: 2019
  ident: ref_16
  article-title: Design under uncertainty of carbon capture, utilization and storage infrastructure considering profit, environmental impact, and risk preference
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2019.01.058
– volume: 338
  start-page: 120605
  year: 2023
  ident: ref_20
  article-title: A novel stochastic programming model under endogenous uncertainty for the CCS-EOR planning problem
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2022.120605
– volume: 53
  start-page: 778
  year: 2014
  ident: ref_22
  article-title: Optimal source-sink matching in carbon capture and storage systems under uncertainty
  publication-title: Ind. Eng. Chem.
  doi: 10.1021/ie402866d
– volume: 157
  start-page: 107636
  year: 2022
  ident: ref_9
  article-title: Sustainable synthesis of integrated process, water treatment, energy supply, and CCUS networks under uncertainty
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2021.107636
– volume: 18
  start-page: 51
  year: 2023
  ident: ref_34
  article-title: Developing supply chain resilience: A robust multi-criteria decision analysis method for transportation service provider selection under uncertainty
  publication-title: Int. J. Manag. Sci. Eng. Manag.
– volume: 134
  start-page: 106680
  year: 2020
  ident: ref_38
  article-title: Designing a resilient-green closed loop supply chain network for perishable products by considering disruption in both supply chain and power networks
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2019.106680
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Snippet In recent years, various kinds of carbon dioxide capture, utilization and storage supply chain network design (CCUS SCND) problems have been extensively...
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SubjectTerms Analysis
Carbon dioxide
Carbon sequestration
Case studies
China
Emissions
Geology
Industrial locations
Industrial plant emissions
Integer programming
Linear programming
Literature reviews
Natural disasters
Optimization
Paris Agreement
Supply chain management
Sustainable development
Title Optimal Design of Resilient Carbon Capture, Utilization and Storage (CCUS) Supply Chain Networks under Facility Disruption
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