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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

22 Scopus Citations
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  • Jingzheng Ren
  • Hanwei Liang
  • Liang Dong
  • Lu Sun
  • Zhiqiu Gao


Original languageEnglish
Pages (from-to)789-801
Journal / PublicationScience of the Total Environment
Online published22 Apr 2016
Publication statusPublished - 15 Aug 2016
Externally publishedYes


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.

Research Area(s)

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

Citation Format(s)