Sustainable development of sewage sludge-to-energy in China : Barriers identification and technologies prioritization
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 384-396 |
Journal / Publication | Renewable and Sustainable Energy Reviews |
Volume | 67 |
Online published | 16 Sept 2016 |
Publication status | Published - Jan 2017 |
Externally published | Yes |
Link(s)
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.
Research Area(s)
- Decision making trial and evaluation laboratory, Energy, Multi-criteria decision making, Sludge
Citation Format(s)
Sustainable development of sewage sludge-to-energy in China: Barriers identification and technologies prioritization. / Ren, Jingzheng; Liang, Hanwei; Dong, Liang et al.
In: Renewable and Sustainable Energy Reviews, Vol. 67, 01.2017, p. 384-396.
In: Renewable and Sustainable Energy Reviews, Vol. 67, 01.2017, p. 384-396.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review