IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v313y2024ics0360544224034406.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224034406
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.133662?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224034406. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.