Design for sustainability of industrial symbiosis based on emergy and multi-objective particle swarm optimization

Jingzheng Ren, Hanwei Liang, Liang Dong, Lu Sun, Zhiqiu Gao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

22 Citations (Scopus)

Abstract

Industrial symbiosis provides novel and practical pathway to the design for the sustainability. Decision support tool for its verification is necessary for practitioners and policy makers, while to date, quantitative research is limited. The objective of this work is to present an innovative approach for supporting decision-making in the design for the sustainability with the implementation of industrial symbiosis in chemical complex. Through incorporating the emergy theory, the model is formulated as a multi-objective approach that can optimize both the economic benefit and sustainable performance of the integrated industrial system. A set of emergy based evaluation index are designed. Multi-objective Particle Swarm Algorithm is proposed to solve the model, and the decision-makers are allowed to choose the suitable solutions form the Pareto solutions. An illustrative case has been studied by the proposed method, a few of compromises between high profitability and high sustainability can be obtained for the decision-makers/stakeholders to make decision.
Original languageEnglish
Pages (from-to)789-801
Number of pages13
JournalScience of the Total Environment
Volume562
DOIs
Publication statusPublished - 15 Aug 2016
Externally publishedYes

Keywords

  • Chemical complex
  • Design for sustainability
  • Emergy
  • Industrial symbiosis
  • Particle swarm algorithm

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution

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