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Site selection of sludge pyrolysis projects based on improved interactive multi-indicators decision-making method under vague linguistic environment: A decision framework from the perspective of low-carbon

Author

Listed:
  • Huang, Yanqin
  • Zhen, Yuhang
  • Liu, Lanling
  • Zhang, Yiwei
  • Ning, Xiaoyang
  • Li, Kai
  • Zhao, Li
  • Lu, Qiang

Abstract

Given the escalating municipal sludge production in China, ensuring the environmental sustainability demands safe and effective treatment technology. Pyrolysis (PY) has emerged as an efficient sludge treatment technology to control the pollution as well as conserve fossil fuel. Site selection stands as a crucially task in the whole life cycle of the sludge PY project, and the researchers have launched some headway in the sludge treatment site selection. However, persistent challenges persist. For instance, the existing indicator framework remained inadequate, and the correlations among different indicators were ignored. To address these deficiencies, an improved-TODIM (Interactive Multi-Indicators Decision-Making) method has been proposed in this work. Firstly, a new assessment framework for the sludge PY site selection was established under the perspective of low-carbon. Secondly, the assessment information was described through the triangular fuzzy numbers, and the indicator weights were calculated by the combined weight of Fuzzy Analytic Hierarchy Process (FAHP) and entropy method. Furthermore, an improved TODIM method was proposed based on the Choquet integral to describe the correlation among indicators and evaluate the optional alternative. Finally, a case study in Hebei province was presented to substantiate the validity and rationality of the method.

Suggested Citation

  • Huang, Yanqin & Zhen, Yuhang & Liu, Lanling & Zhang, Yiwei & Ning, Xiaoyang & Li, Kai & Zhao, Li & Lu, Qiang, 2024. "Site selection of sludge pyrolysis projects based on improved interactive multi-indicators decision-making method under vague linguistic environment: A decision framework from the perspective of low-c," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224034406
    DOI: 10.1016/j.energy.2024.133662
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    References listed on IDEAS

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