文献类型：期刊文献

中文题名：某焦化厂供水网络多目标建模及优化

英文题名：Multi-objective modeling and optimization for the water supply network of a coking plant

作者：韩庚[1];曹萃文[1];顾幸生[1]

机构：[1]华东理工大学化工过程先进控制与优化技术教育部重点实验室,上海200237

年份：2016

卷号：35

期号：4

起止页码：1033

中文期刊名：化工进展

外文期刊名：Chemical Industry and Engineering Progress

收录：CSTPCD;;EI(收录号：20162202440130);Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：国家自然科学基金(61174040;61573144);上海市自然科学基金(12ZR1408100)项目

语种：中文

中文关键词：焦化厂;供水网络;混合整数非线性规划;多目标改进文化差分;多目标优化

外文关键词：coking plant; water-supply network; mixed-integer nonlinear programming（MINLP）; multi-objective cultured differential evolution（MO-CDE）; multi-objective optimization

摘要：对某焦化厂的供水网络进行了详细的分析,在用水供需平衡满足生产要求的前提下,以新鲜水供给量最小以及新鲜水供给成本与循环水及除盐水的浪费成本之和最小作为两个优化目标,建立了多目标混合整数非线性规划(MINLP)的数学模型。利用文献提出的Pareto规则下的多目标改进文化差分进化算法对模型进行了求解。所得的计算结果与现场实时操作数据相比,模型及算法实现的优化操作减少了新鲜水消耗量,降低了新鲜水供给成本与循环水及除盐水的浪费成本,达到了很好的优化效果。
In this paper,the water supply network system of a real-world cooking plant was deeply analyzed. Under the balance between water supply and demand,a bi-objective mixed-integer nonlinear programming（MINLP） model was built. Minimizing the fresh water supply and the total cost of fresh water,recycle water and desalting water were the two objectives. The Pareto based multi-objective cultural differential evolution（MO-CDE） algorithm of reference was selected to solve this model. The computing results showed that the bi-objective optimal results were better than current operational parameters in reducing the fresh water supply and the cost of fresh water,recycle water and desalting water.