Schedule optimization for fouling removal in refinery heat exchanger networks with backup unit

TIAN Jiayang; JIA Linquan; WANG Yufei; FENG Xiao

doi:10.11949/j.issn.0438-1157.20161312

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Schedule optimization for fouling removal in refinery heat exchanger networks with backup unit

更新时间：2025-11-26

- Schedule optimization for fouling removal in refinery heat exchanger networks with backup unit
- CIESC Journal Issue 12, Pages: 5183-5189(2016)
- 作者机构：
  
  1. 中国石油大学(北京)新能源研究院,北京,102249
  2. 西安热工研究院有限公司,陕西,西安,710054
  3. 中国石油大学(北京)化工学院,北京,102249
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20161312
  CLC： Q021.8
- Online First：05 December 2016，
  
  Published：05 December 2016
- 稿件说明：
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TIAN Jiayang, JIA Linquan, WANG Yufei, et al. Schedule optimization for fouling removal in refinery heat exchanger networks with backup unit[J]. CIESC Journal, 2016, (12): 5183-5189.
DOI：

TIAN Jiayang, JIA Linquan, WANG Yufei, et al. Schedule optimization for fouling removal in refinery heat exchanger networks with backup unit[J]. CIESC Journal, 2016, (12): 5183-5189. DOI： 10.11949/j.issn.0438-1157.20161312.

摘要

原油结垢是原油预热过程面临的一个严峻问题，它使换热器的传热系数降低，影响正常的生产过程。应对原油预热过程的结垢问题最普遍的方法就是对换热器进行周期清洁，并优化清洁周期。许多结垢严重的行业都采用换热器备用的方式来减少因换热器离线造成的热回收减小，但原油预热系统尚未考虑，因而进一步考虑了关键换热器的备用来进行原油预热系统清垢周期优化。首先选取关键换热器，再通过模拟退火算法进行清洁周期优化。应用所提出的方法对简化的原油预热系统进行了清垢周期优化，结果显示，考虑换热器备用时所得到的清垢周期经济效益更好。

Abstract

Crude oil fouling is a crucial problem in refinery heat exchanger network(HEN) that reduces heat transfer and affects routine production. Conventional strategy to mitigate fouling is to clean heat exchanger regularly and to optimize cleaning schedule accordingly. Backup heat exchangers are used in many industries with severe fouling concern in order to avoid reduction of heat recycle caused by taking the heat exchanger off-line

however

such practice has not been deployed in crude oil pre-heating systems. Hence

a method for fouling mitigation in HEN was proposed to optimize cleaning schedule with backup for key heat exchangers

which key heat exchangers were first identified and then simulated annealing algorithm(SA) was used to optimize schedule for fouling removal. A case study of crude oil preheat train showed that backup on key heat exchangers offered higher energy saving and better economic efficiency than current methods.

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