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Development and application of a multi-stage CCUS source–sink matching model

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  • Sun, Liang
  • Chen, Wenying

Abstract

To achieve the targets in the Paris Climate Change Agreement, carbon capture, utilization and storage (CCUS) will be one of the critical carbon mitigation technologies. For China, the biggest carbon emitter with coal-dominated energy structure, CCUS is expected to play more and more important roles for carbon emissions reduction. This paper looks at a method for designing a pipeline network system for large-scale CO2 capture, utilization, and storage (CCUS) in China. On the basis of performing a moderately significant literature review of past papers and models dating back to the early 2000’s, a updated multi-stage mixed integer programming (MIP) model for carbon source and sink matching (SSM) in ChinaCCUS DSS (Decision Support System) is developed. The Jing-Jin-Ji (Beijing–Tianjin–Hebei) region suffering from increasingly serious air pollution is chose as a case study to address the SSM issue with application of the updated model. The modeling results show that around 2200km pipeline with investment of around $1.6billion needed to be built to transport the cumulative sequestrated emissions of 1620Mt CO2 in the planning period of 2020–2050. Compared to the single-stage programming, the multi-stage programming could result to better pipeline connectivity.

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  • Sun, Liang & Chen, Wenying, 2017. "Development and application of a multi-stage CCUS source–sink matching model," Applied Energy, Elsevier, vol. 185(P2), pages 1424-1432.
    • Handle: RePEc:eee:appene:v:185:y:2017:i:p2:p:1424-1432
    DOI: 10.1016/j.apenergy.2016.01.009
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    References listed on IDEAS

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    6. Callas, Catherine & Saltzer, Sarah D. & Steve Davis, J. & Hashemi, Sam S. & Kovscek, Anthony R. & Okoroafor, Esuru R. & Wen, Gege & Zoback, Mark D. & Benson, Sally M., 2022. "Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage," Applied Energy, Elsevier, vol. 324(C).
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    8. Zhang, Shuai & Zhuang, Yu & Liu, Linlin & Zhang, Lei & Du, Jian, 2019. "Risk management optimization framework for the optimal deployment of carbon capture and storage system under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    9. Xu, Xiaoyi & Li, Qi & Cai, Bofeng & Liu, Guizhen & Pang, Lingyun & Jing, Meng & Guo, Jing, 2024. "Cost assessment and potential evaluation of geologic carbon storage in China based on least-cost path analysis," Applied Energy, Elsevier, vol. 371(C).
    10. Zhang, Kai & Lau, Hon Chung & Liu, Shuyang & Li, Hangyu, 2022. "Carbon capture and storage in the coastal region of China between Shanghai and Hainan," Energy, Elsevier, vol. 247(C).
    11. Wenyin Jiang & Songqing Zhao & Tianfang Yang, 2022. "Economic and Technical Analysis of Power to Gas Factory Taking Karamay as an Example," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    12. Sinha, Rakesh Kumar & Chaturvedi, Nitin Dutt, 2019. "A review on carbon emission reduction in industries and planning emission limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    13. Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    14. Mei, Jie & Chen, Chen & Wang, Jianhui & Kirtley, James L., 2019. "Coalitional game theory based local power exchange algorithm for networked microgrids," Applied Energy, Elsevier, vol. 239(C), pages 133-141.
    15. Anderson, Jeffrey J. & Rode, David & Zhai, Haibo & Fischbeck, Paul, 2021. "Transitioning to a carbon-constrained world: Reductions in coal-fired power plant emissions through unit-specific, least-cost mitigation frontiers," Applied Energy, Elsevier, vol. 288(C).
    16. Vulin, Domagoj & Muhasilović, Lejla & Arnaut, Maja, 2020. "Possibilities for CCUS in medium temperature geothermal reservoir," Energy, Elsevier, vol. 200(C).
    17. Jiaquan Li & Yunbing Hou & Pengtao Wang & Bo Yang, 2018. "A Review of Carbon Capture and Storage Project Investment and Operational Decision-Making Based on Bibliometrics," Energies, MDPI, vol. 12(1), pages 1-22, December.
    18. Lee, Suh-Young & Lee, In-Beum & Han, Jeehoon, 2019. "Design under uncertainty of carbon capture, utilization and storage infrastructure considering profit, environmental impact, and risk preference," Applied Energy, Elsevier, vol. 238(C), pages 34-44.
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