CIESC Journal

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废物最小化的过程集成方法及多目标优化

高瑛a 石磊b 姚平经a   

  1. a School of Chemical Engineering, Dalian University of Technology, Dalian 116012, China 
    b Department of Environment Engineering, Tsinghua University, Beijing 100084, China
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2001-09-28 发布日期:2001-09-28
  • 通讯作者: 高瑛

Waste Minimization Through Process Integration and Multi-objective Optimization

GAO Yinga SHI Leib YAO Pingjinga   

  1. a School of Chemical Engineering, Dalian University of Technology, Dalian 116012, China 
    b Department of Environment Engineering, Tsinghua University, Beijing 100084, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2001-09-28 Published:2001-09-28
  • Contact: GAO Ying

摘要: By avoiding or reducing the production of waste, waste minimization is an effective
approach to solve the pollution problem in chemical industry. Process integration supported
by multi-objective optimization provides a framework for process design or process retrofit
by simultaneously optimizing on the aspects of environment and economics. Multi-objective
genetic algorithm is applied in this area as the solution approach for the multi-objective
optimization problem.

关键词: waste minimization;process integration;multi-objective optimization;multi-objective genetic algo rithm

Abstract: By avoiding or reducing the production of waste, waste minimization is an effective
approach to solve the pollution problem in chemical industry. Process integration supported
by multi-objective optimization provides a framework for process design or process retrofit
by simultaneously optimizing on the aspects of environment and economics. Multi-objective
genetic algorithm is applied in this area as the solution approach for the multi-objective
optimization problem.

Key words: waste minimization, process integration, multi-objective optimization, multi-objective genetic algo rithm