Simultaneous optimization of heat-integrated crude oil distillation systems

Yiqing Luo; LiwenWang; HeWang; Xigang Yuan

doi:10.1016/j.cjche.2015.03.008

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Simultaneous optimization of heat-integrated crude oil distillation systems

过程系统工程与过程安全 | Updated：2026-01-06

- Simultaneous optimization of heat-integrated crude oil distillation systems
- Simultaneous optimization of heat-integrated crude oil distillation systems
- 中国化学工程学报（英文版） 2015年23卷第9期页码：1518-1522
- Affiliations：
  
  Chemical Engineering Research Center, School of Chemical Engineering and Technology, Tianjin University,Tianjin,China,300072
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2015.03.008
  中图分类号：
- 纸质出版：2015
- Accepted：
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Yiqing Luo, LiwenWang, HeWang, 等. Simultaneous optimization of heat-integrated crude oil distillation systems[J]. 中国化学工程学报（英文版）, 2015,23(9):1518-1522.

Yiqing Luo, LiwenWang, HeWang, Xigang Yuan. Simultaneous optimization of heat-integrated crude oil distillation systems[J]. , 2015, 23(9): 1518-1522.
Yiqing Luo, LiwenWang, HeWang, 等. Simultaneous optimization of heat-integrated crude oil distillation systems[J]. 中国化学工程学报（英文版）, 2015,23(9):1518-1522. DOI： 10.1016/j.cjche.2015.03.008.

Yiqing Luo, LiwenWang, HeWang, Xigang Yuan. Simultaneous optimization of heat-integrated crude oil distillation systems[J]. , 2015, 23(9): 1518-1522. DOI： 10.1016/j.cjche.2015.03.008.

摘要

Abstract

Crude oil distillation is important in refining industry. Operating variables of distillation process have a critical effect on product output value and energy consumption.However

the objectives of minimumenergy consumption and maximum product output value do not coordinate with each other and do not lead to the maximum economic benefit of a refinery. In this paper

a systematic optimization approach is proposed for the maximum annual economic benefit of an existing crude oil distillation system

considering product output value and energy consumption simultaneously. A shortcut model in Aspen Plus is used to describe the crude oil distillation and the pinch analysis is adopted to identify the target of energy recovery. The optimization is a nonlinear programming problem and solved by stochastic algorithm of particle warm optimization.

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