A Strategy for Multi-objective Optimization under Uncertainty in Chemical Process Design

›› 2008, Vol. 16 ›› Issue (1): 39-42.

A Strategy for Multi-objective Optimization under Uncertainty in Chemical Process Design

孙力¹, Helen H. Lou²

1. Department of Chemical Engineering, Dalian University of Technology, Dalian 116023, China;
2. Department of Chemical Engineering, Lamar University, Beaumont, Texas 77710, USA

收稿日期:2007-05-10 修回日期:2007-10-27 出版日期:2008-02-28 发布日期:2008-02-28
通讯作者: SUN Li, E-mail: bonnia@dlut.edu.cn
基金资助:
Dalian University of Technology, the US National Science Foundation (No.CTS-0407494);the Texas Ad-vanced Technology Program (No.003581-0044-2003)

A Strategy for Multi-objective Optimization under Uncertainty in Chemical Process Design

SUN Li¹, Helen H. Lou²

1. Department of Chemical Engineering, Dalian University of Technology, Dalian 116023, China;
2. Department of Chemical Engineering, Lamar University, Beaumont, Texas 77710, USA

Received:2007-05-10 Revised:2007-10-27 Online:2008-02-28 Published:2008-02-28
Supported by:
Dalian University of Technology, the US National Science Foundation (No.CTS-0407494);the Texas Ad-vanced Technology Program (No.003581-0044-2003)

摘要/Abstract

摘要： In many circumstances, chemical process design can be formulated as a multi-objective optimization(MOO) problem. Examples include bi-objective optimization problems, where the economic objective is maxi-mized and environmental impact is minimized simultaneously. Moreover, the random behavior in the process,property, market fluctuation, errors in model prediction and so on would affect the performance of a process.Therefore, it is essential to develop a MOO methodology under uncertainty. In this article, the authors propose ageneric and systematic optimization methodology for chemical process design under uncertainty. It aims at identifying the optimal design from a number of candidates. The utility of this methodology is demonstrated by a casestudy based on the design of a condensate treatment unit in an ammonia plant.

关键词: multi-objective optimization, uncertainty, chemical process design

Abstract: In many circumstances, chemical process design can be formulated as a multi-objective optimization(MOO) problem. Examples include bi-objective optimization problems, where the economic objective is maxi-mized and environmental impact is minimized simultaneously. Moreover, the random behavior in the process,property, market fluctuation, errors in model prediction and so on would affect the performance of a process.Therefore, it is essential to develop a MOO methodology under uncertainty. In this article, the authors propose ageneric and systematic optimization methodology for chemical process design under uncertainty. It aims at identifying the optimal design from a number of candidates. The utility of this methodology is demonstrated by a casestudy based on the design of a condensate treatment unit in an ammonia plant.

Key words: multi-objective optimization, uncertainty, chemical process design

孙力, Helen H. Lou. A Strategy for Multi-objective Optimization under Uncertainty in Chemical Process Design[J]. , 2008, 16(1): 39-42.

SUN Li, Helen H. Lou. A Strategy for Multi-objective Optimization under Uncertainty in Chemical Process Design[J]. , 2008, 16(1): 39-42.

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A Strategy for Multi-objective Optimization under Uncertainty in Chemical Process Design

A Strategy for Multi-objective Optimization under Uncertainty in Chemical Process Design

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