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Cost assessment and potential evaluation of geologic carbon storage in China based on least-cost path analysis

Author

Listed:
  • Xu, Xiaoyi
  • Li, Qi
  • Cai, Bofeng
  • Liu, Guizhen
  • Pang, Lingyun
  • Jing, Meng
  • Guo, Jing

Abstract

CO2 capture, utilization, and storage (CCUS) technology is an indispensable technical means to reduce greenhouse gas CO2 emissions and achieve China's double carbon goals. In this study, we explored the economic costs of CO2 saline aquifer storage as a pure emission reduction measure without additional benefits under the influence of the carbon price mechanism, thereby adopting an energy cost potential perspective. To achieving the least cost (including capture, transport, storage, etc.), this study evaluated the economic feasibility of CO2 geological storage for each 10 km × 10 km grid in China under multiple CCUS scenarios in 2030–2060. It focuses on whether each grid in China can achieve substantial carbon emission reduction by using CO2 geological storage under given constraints. These findings could guide corporations in prioritizing the deployment of emission reduction actions at a macro level, and provide an estimated cost reference for emission reduction across various provincial administrative regions in China.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:371:y:2024:i:c:s0306261924010055
    DOI: 10.1016/j.apenergy.2024.123622
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    References listed on IDEAS

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    1. 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.
    2. Liu, Shengnan & Wei, Ning & Jiang, Dalin & Nie, Ligong & Cai, Bin & Tao, Yi & Li, Xiaochun, 2023. "Emission reduction path for coal-based enterprises via carbon capture, geological utilization, and storage: China energy group," Energy, Elsevier, vol. 273(C).
    3. Al Baroudi, Hisham & Awoyomi, Adeola & Patchigolla, Kumar & Jonnalagadda, Kranthi & Anthony, E.J., 2021. "A review of large-scale CO2 shipping and marine emissions management for carbon capture, utilisation and storage," Applied Energy, Elsevier, vol. 287(C).
    4. Shu-Yuan Pan & Yi-Hung Chen & Liang-Shih Fan & Hyunook Kim & Xiang Gao & Tung-Chai Ling & Pen-Chi Chiang & Si-Lu Pei & Guowei Gu, 2020. "CO2 mineralization and utilization by alkaline solid wastes for potential carbon reduction," Nature Sustainability, Nature, vol. 3(5), pages 399-405, May.
    5. Song, Yongchen & Yang, Lei & Zhao, Jiafei & Liu, Weiguo & Yang, Mingjun & Li, Yanghui & Liu, Yu & Li, Qingping, 2014. "The status of natural gas hydrate research in China: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 778-791.
    6. Zhengmeng Hou & Jiashun Luo & Yachen Xie & Lin Wu & Liangchao Huang & Ying Xiong, 2022. "Carbon Circular Utilization and Partially Geological Sequestration: Potentialities, Challenges, and Trends," Energies, MDPI, vol. 16(1), pages 1-14, December.
    7. Yi-Ming Wei & Jia-Ning Kang & Lan-Cui Liu & Qi Li & Peng-Tao Wang & Juan-Juan Hou & Qiao-Mei Liang & Hua Liao & Shi-Feng Huang & Biying Yu, 2021. "A proposed global layout of carbon capture and storage in line with a 2 °C climate target," Nature Climate Change, Nature, vol. 11(2), pages 112-118, February.
    8. Fan, Jing-Li & Shen, Shuo & Wei, Shi-Jie & Xu, Mao & Zhang, Xian, 2020. "Near-term CO2 storage potential for coal-fired power plants in China: A county-level source-sink matching assessment," Applied Energy, Elsevier, vol. 279(C).
    9. Sun, Liang & Chen, Wenying, 2013. "The improved ChinaCCS decision support system: A case study for Beijing–Tianjin–Hebei Region of China," Applied Energy, Elsevier, vol. 112(C), pages 793-799.
    10. Middleton, Richard S. & Bielicki, Jeffrey M., 2009. "A scalable infrastructure model for carbon capture and storage: SimCCS," Energy Policy, Elsevier, vol. 37(3), pages 1052-1060, March.
    11. Niall Mac Dowell & Paul S. Fennell & Nilay Shah & Geoffrey C. Maitland, 2017. "The role of CO2 capture and utilization in mitigating climate change," Nature Climate Change, Nature, vol. 7(4), pages 243-249, April.
    Full references (including those not matched with items on IDEAS)

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