Abstract: In this work multi-stream heat exchanger network (MSHEN) synthesis approach is applied to the crude oil pre-heating network reformation of atmospheric and vacuum distillation unit of a petrochemical company. Based on stage-wised superstructure of MSHEN, a more general and rigorous mathematical model eliminating the unreasonable hypothesis of isothermal mixing of stream splits by previous literatures is set up for MSHEN synthesis problem. A novel approach is put forward to convert the mathematical model formulated as a mixed integer nonlinear programming program (MINLP) to a nonlinear programming problem (NLP) through appropriately designing a valid solution generation method for MSHEN. The approach brings forth the advantage of shunning difficulty to solve the original MINLP problem. A genetic/simulated annealing hybrid algorithm is adopted to successively solve this problem. The comparison of the synthesis results obtained by the present mathematical model and optimization algorithm with those of commercial software HEXTRAN and the existing heat exchangers network indicates that the methodology proposed in this paper is quite effective, and MSHEN can be superior in industrial engineering as to economy and technical advantages.

Key words: crude oil pre-heating, multi-stream heat exchanger, network synthesis, mixed integer nonlinear programming program, hybrid genetic algorithm

摘要： 以原油常减压蒸馏装置原油预热网络为研究对象，进行了多流股换热器网络的实例综合. 基于超结构物理模型建立了改进的多流股换热器网络综合数学模型，提出将该网络综合问题由混合整数非线性规划问题转化为简单的非线性规划问题的求解策略，并利用改进的遗传/模拟退火新算法进行了原油预热网络的综合. 与Hextran软件的综合结果以及现场换热网络的对比表明，本模型和求解策略可以应用于工业规模的多流股换热器网络综合，有可能取得较好的经济效益.

关键词: 原油预热系统, 多流股换热器, 网络综合, 混合整数非线性规划, 混合遗传算法