A Multi-Objective Process Optimization Procedure under Uncertainty for Sustainable Process Design

摘要：

Sustainable chemical process design can be formulated as a multi-objective optimization (MOO) problem covering economic, environmental and societal aspects. Moreover, uncertainties are unavoidable during the process design. So, uncertainties should be involved in the optimization. In this work, authors work on the basis of stochastic programming to deal with uncertainty factors, and integrate MOO deterministic algorithms to identify the optimal process design for the improvement of sustainability from a number of alternatives. The efficacy of the procedure is demonstrated by design of 1-hexene separation process.

关键词： sustainability uncertainty stochastic programming multi-objective optimization

作者: Li Sun JiPing Pan Anqi Wang

作者单位: Department of Chemical Engineering, Dalian University of Technology Dalian, Liaoning 116023, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 4373-4376

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）