Multi-objective optimization of industrial crude distillation unit based on HYSYS and NSGA-Ⅱ

YU Xiaodong; LV Wenxiang; HUANG Dexian; JIN Yihui

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Multi-objective optimization of industrial crude distillation unit based on HYSYS and NSGA-Ⅱ

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- Multi-objective optimization of industrial crude distillation unit based on HYSYS and NSGA-Ⅱ
- CIESC Journal Issue 7, Pages: 1646-1649(2008)
- 作者机构：
  
  清华大学自动化系过程控制工程研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 July 2008，
  
  Published：05 July 2008
- 稿件说明：
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YU Xiaodong, LV Wenxiang, HUANG Dexian, et al. Multi-objective optimization of industrial crude distillation unit based on HYSYS and NSGA-Ⅱ[J]. CIESC Journal, 2008, (7): 1646-1649.
DOI：

YU Xiaodong, LV Wenxiang, HUANG Dexian, et al. Multi-objective optimization of industrial crude distillation unit based on HYSYS and NSGA-Ⅱ[J]. CIESC Journal, 2008, (7): 1646-1649. DOI：

摘要

研究了炼油工业中常压塔单元的最优操作问题，通过流程模拟软件HYSYS模拟常压塔静态模型，并利用改进非支配排序遗传算法（elitist non-dominated sorting genetic algorithm

NSGA-Ⅱ）来求解效益-能耗多目标问题，从而得到一组最优操作条件Pareto解集，结果表明在保证各产品质量的前提下，常压塔全塔的经济效益还可以提高。

Abstract

This study provides insights into the optimal operation of one of the most important refinery units

namely

the crude distillation unit (CDU）. A steady state model was developed to simulate an industrial CDU by using a process simulator

HYSYS. The elitist non-dominated sorting genetic algorithm (NSGA-Ⅱ) was used to solve a meaningful multi-objective optimization problem. It was observed that the economic benefit of the CDU could be increased while keeping the product quality within acceptable limits. This procedure used was quite general and could be applied to other CDUs.

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