Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 562, Issue -, Pages 789-801Publisher
ELSEVIER
DOI: 10.1016/j.scitotenv.2016.04.092
Keywords
Design for sustainability; Industrial symbiosis; Emergy; Particle Swarm Algorithm; Chemical complex
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Funding
- Startup Foundation for Introducing Talent of NUIST [2015t006]
- Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration [UES2015A04]
- project of Smart Industrial Parks (SIPs) in China: towards Joint Design and Institutionalization [467-14-003]
- Ministry of Science and Technology, China [2015DFG62270]
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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. (C) 2016 Elsevier B. V. All rights reserved.
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