化工学报 ›› 2016, Vol. 67 ›› Issue (12): 5183-5189.DOI: 10.11949/j.issn.0438-1157.20161312

• 过程系统工程 • 上一篇    下一篇

考虑关键换热器备用的原油预热系统清垢周期优化

田佳阳1, 贾林权2, 王彧斐3, 冯霄1   

  1. 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
  • 收稿日期:2016-09-20 修回日期:2016-09-30 出版日期:2016-12-05 发布日期:2016-12-05
  • 通讯作者: 王彧斐。wangyufei@cup.edu.cn
  • 基金资助:

    国家自然科学基金项目(21306228)。

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

TIAN Jiayang1, JIA Linquan2, WANG Yufei3, FENG Xiao1   

  1. 1 Institute of New Energy, China University of Petroleum, Beijing 102249, China;
    2 Xi'an Thermal Power Research Institute, Xi'an 710054, Shaanxi, China;
    3 School of Chemical Engineering, China University of Petroleum, Beijing 102249, China
  • Received:2016-09-20 Revised:2016-09-30 Online:2016-12-05 Published:2016-12-05
  • Supported by:

    supported by the National Natural Science Foundation of China(21306228).

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。

关键词: 换热网络, 原油预热系统, 结垢, 模型, 算法, 优化, 清垢周期

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.

Key words: heat exchanger network, crude oil preheat train, fouling, model, algorithm, optimization, cleaning schedule

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