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A comprehensive evaluation model for full-chain CCUS performance based on the analytic hierarchy process method

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  • Zheng, Yawen
  • Gao, Lin
  • Li, Sheng
  • Wang, Dan

Abstract

As the only resort to realize the low-carbon utilization of high-carbon fuel, CCUS has attracted considerable attention from experts in various fields. However, the global demonstration of CCUS has not gone well for several reasons. Multiple technical options, diverse combinations of schemes and complex evaluation systems of CCUS are crucial reasons. Another key point is the diverse concerns of key stakeholders involved in the deployment of CCUS, leading to decision-making difficulties. Thus, in this paper, with the aid of the analytic hierarchy process method, five representative cases are defined, compared and evaluated from the technical, economic and policy perspectives. The evaluation results and corresponding interpretations are given from diverse perspectives. By adopting this evaluation method and establishing a comprehensive model, decision makers can clarify their requirements, carry out multi-dimensional evaluation, and obtain inspiration to make corresponding judgements or decisions for early CCUS demonstration projects, which is conducive to promoting the progress of CCUS demonstration projects.

Suggested Citation

  • Zheng, Yawen & Gao, Lin & Li, Sheng & Wang, Dan, 2022. "A comprehensive evaluation model for full-chain CCUS performance based on the analytic hierarchy process method," Energy, Elsevier, vol. 239(PD).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221022817
    DOI: 10.1016/j.energy.2021.122033
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    2. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
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    5. Sun, Bo & Fan, Boyang & Wu, Chun & Xie, Jingdong, 2024. "Exploring incentive mechanisms for the CCUS project in China's coal-fired power plants: An option-game approach," Energy, Elsevier, vol. 288(C).

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