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

Science of the Total Environment

Volumn 562, Issue , 2016, Pages 789-801

  Ren, Jingzheng ^a,b   Liang, Hanwei ^a   Dong, Liang ^a,c,d   Sun, Lu ^d,e   Gao, Zhiqiu ^f  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^c LEIDEN UNIVERSITY   (Netherlands)

^d NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

^e UNIVERSITY OF TOKYO   (Japan)

^f INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

Author keywords

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

Indexed keywords

DECISION MAKING; DECISION SUPPORT SYSTEMS; DESIGN; ECODESIGN; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); SUSTAINABLE DEVELOPMENT;

CHEMICAL COMPLEXES; DECISION SUPPORT TOOLS; EMERGY; INDUSTRIAL SYMBIOSIS; MULTI OBJECTIVE PARTICLE SWARM OPTIMIZATION; PARTICLE SWARM ALGORITHM; QUANTITATIVE RESEARCH; SUSTAINABLE PERFORMANCE;

MULTIOBJECTIVE OPTIMIZATION;

ALGORITHM; DECISION MAKING; DESIGN; EMERGY; OPTIMIZATION; SUSTAINABILITY;

ALGORITHM; ARTICLE; DECISION MAKING; ENVIRONMENTAL PARAMETERS; INDUSTRIAL SYMBIOSIS; INDUSTRY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MULTI OBJECTIVE PARTICLE SWARM ALGORITHM; PRIORITY JOURNAL; PROCESS DESIGN; PROCESS OPTIMIZATION; PROGRAM SUSTAINABILITY; QUANTITATIVE ANALYSIS; RENEWABLE ENERGY;

EID: 84963948611     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2016.04.092     Document Type: Article

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