A Strategy for Multi-Objective Optimization under Uncertainty in Chemical Process Design
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 maximized and environmental impact is minimized simultaneously. Moreover, the random behavior in the process, property, market fluctuation, errors in model prediction etc would affect the performance of a process. Therefore, it is essential to develop a MOO methodology under uncertainty. In this paper, the authors propose a generic 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 case study based on the design of a condensate treatment unit in an ammonia plant.
Multi-objective optimization Uncertainty Chemical process design
Li Sun Helen H.Lou
Department of Chemical Engineering,Dalian University of Technology Dalian,Liaoning,116023,China Department of Chemical Engineering,Lamar University Beaumont,TX ,77710,the U.S.
国际会议
西安
英文
2007-08-15（万方平台首次上网日期，不代表论文的发表时间）