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Site Selection of Waste-to-Energy (WtE) Plant considering Public Satisfaction by an Extended VIKOR Method

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Listed:
  • Yunna Wu
  • Lei Qin
  • Chuanbo Xu
  • Shaoyu Ji

Abstract

Site selection of waste-to-energy (WtE) plant is critically important in the whole life cycle. Some research has been launched in the WtE plant site selection, but there is still a serious problem called Not In My Back Yard (NIMBY) effect that needs to be solved. To solve the problem, an improved multigroup VIKOR method is proposed to choose the optimal site and compromised sites. In the proposed method, the public satisfaction is fully considered where the public is invited as an evaluation group far more than creating general indicators to represent the public acceptance. First of all, an elaborate criteria system is built to evaluate site options comprehensively and the weights of criteria are identified by Analytic Hierarchy Process (AHP) method. Then, the interval 2-tuple linguistic information is adopted to assess the ratings for the established criteria. The interval 2-tuple linguistic ordered weighted averaging (ITL-OWA) operator is utilized to aggregate the opinions of evaluation committee while the opinions of the public are aggregated using weighted average operator. Finally, a case from south China which shows the computational procedure and the effectiveness of the proposed method is proved. Last but not least, a sensitivity analysis is conducted by comparing the results with different weights of evaluation group assessments.

Suggested Citation

  • Yunna Wu & Lei Qin & Chuanbo Xu & Shaoyu Ji, 2018. "Site Selection of Waste-to-Energy (WtE) Plant considering Public Satisfaction by an Extended VIKOR Method," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-17, November.
  • Handle: RePEc:hin:jnlmpe:5213504
    DOI: 10.1155/2018/5213504
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    Cited by:

    1. Yechennan Peng & Hossein Azadi & Liang (Emlyn) Yang & Jürgen Scheffran & Ping Jiang, 2022. "Assessing the Siting Potential of Low-Carbon Energy Power Plants in the Yangtze River Delta: A GIS-Based Approach," Energies, MDPI, vol. 15(6), pages 1-20, March.
    2. Yang, Shi-guan & Zhou, Jia-le & Hu, Zhuang & Zhou, Xin-yue & Cai, Qi & Xie, Jin-heng & Wu, Yang-wen & Lu, Qiang, 2023. "Site selection decision framework for biomass pyrolysis project based on a mixed method under probabilistic linguistic environment and low carbon perspective: A case study in China," Energy, Elsevier, vol. 272(C).
    3. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).

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