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A two-stage siting decision framework for biomass-coal co-firing with carbon capture and storage (BCCCS) retrofit of coal-fired power plants based on fuzzy theory: An empirical study in Hebei province

Author

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  • Huang, Yanqin
  • Liu, Lanling
  • Shao, Yifan
  • Ma, Yifei
  • Guo, Lei
  • Sun, Leyi
  • Wang, Tipeng
  • Lu, Qiang

Abstract

Biomass is a zero-carbon fuel compared with coal. Biomass-coal Co-firing with Carbon Capture and Storage (BCCCS) retrofit for coal-fired power plants can effectively reduce carbon emissions from coal-fired power plants at both the source and the sink, contributing to realizing the "30 60″ decarbonization goal. To achieve a successful transformation, it is crucial to select a coal-fired power plant that is suitable for retrofitting. This paper aims to present a new approach to selecting the most suitable coal-fired power plants for retrofitting (unminable coalbed methane was selected as a sequestration site). A novel two-stage evaluation index system for feasibility evaluation and suitability evaluation was constructed. Experts' intuitive fuzzy scores were collected to process qualitative data. The Fuzzy Analytic Hierarchy Process-Entropy Weight Method (FAHP-EWM) was proposed to obtain the indicator weights. The weights were used to improve the Fuzzy Multi-Objective Optimization Ratio Analysis (FMOORA) to rank the alternatives. A specific case in Hebei Province, China illustrated the feasibility and practicality of the proposed method. Calculations and comparative analysis relating to weight fluctuations and loss aversion coefficient showed that the proposed method was robust, effective, and superior. Multi-dimensional management insights were provided for decision-makers to implement BCCCS retrofits in coal-fired power plants.

Suggested Citation

  • Huang, Yanqin & Liu, Lanling & Shao, Yifan & Ma, Yifei & Guo, Lei & Sun, Leyi & Wang, Tipeng & Lu, Qiang, 2026. "A two-stage siting decision framework for biomass-coal co-firing with carbon capture and storage (BCCCS) retrofit of coal-fired power plants based on fuzzy theory: An empirical study in Hebei province," Renewable Energy, Elsevier, vol. 258(C).
    • Handle: RePEc:eee:renene:v:258:y:2026:i:c:s0960148125026710
    DOI: 10.1016/j.renene.2025.125007
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