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Sustainable development of sewage sludge-to-energy in China: Barriers identification and technologies prioritization

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  • Ren, Jingzheng
  • Liang, Hanwei
  • Dong, Liang
  • Gao, Zhiqiu
  • He, Chang
  • Pan, Ming
  • Sun, Lu

Abstract

In order to promote the sustainable development of sludge-to-energy industry and help the decision-makers/stakeholders to select the most sustainable technology for achieving the sludge-to-energy target, this study aims at using grey Decision Making Trial and Evaluation Laboratory (DEMATEL) to identify the critical barriers that hinder the sustainable development of sludge-to-energy industry in China and to investigate the cause-effect relationships among these barriers. Accordingly, some policy implications for promoting the sustainable development of sludge-to-energy industry in China were proposed. After the grey DEMATEL analysis, a grey Multi-Criteria Decision Making (MCDM) framework which allows multiple decision-makers/stakeholders to use linguistic terms to participate in the decision-making for prioritizing the alternative technologies for sludge-to-energy was developed, and the evaluation criterion system for sustainability assessment of sludge-to-energy technologies was determined based on the results of grey DEMATEL analysis. Three alternative technologies for sludge-to-electricity were studied by the proposed MCDM method, and the results show that the proposed grey MCDM method is feasible for group decision-making and sustainability assessment of the alternative technologies for sludge-to-energy.

Suggested Citation

  • Ren, Jingzheng & Liang, Hanwei & Dong, Liang & Gao, Zhiqiu & He, Chang & Pan, Ming & Sun, Lu, 2017. "Sustainable development of sewage sludge-to-energy in China: Barriers identification and technologies prioritization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 384-396.
    • Handle: RePEc:eee:rensus:v:67:y:2017:i:c:p:384-396
    DOI: 10.1016/j.rser.2016.09.024
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    References listed on IDEAS

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    5. Omar Morsy & Farzad Hourfar & Qinqin Zhu & Ali Almansoori & Ali Elkamel, 2023. "A Superstructure Mixed-Integer Nonlinear Programming Optimization for the Optimal Processing Pathway Selection of Sludge-to-Energy Technologies," Sustainability, MDPI, vol. 15(5), pages 1-34, February.
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