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Synthesis of flexible multi-stream heat exchanger networks based on stream pseudo-temperature with genetic/simulated annealing algorithms

机译:基于遗传/模拟退火算法的基于流伪温度的柔性多流换热器网络综合

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The synthesis of flexible heat exchanger network (HEN) is generally regarded as an over-design of process units over a specified range of deviations in process parameters from their nominal values. The HEN obtained is more costly because of the over-design of HEN. The global solution to flexible design problems cannot be guaranteed because of the resulting non-differentiable, non-convex, max-min-max constraint of mixed integer nonlinear programming (MINLP) models. In this paper a new simultaneous two-stage strategy for synthesizing flexible multi-stream HEN (FMSHEN), optimized by genetic/simulated annealing algorithm (GA/SA), is presented. First, based on the pseudo-temperature enthalpy (T-H) diagram method, a new nonlinear programming (NLP) formulation involving all of the vertices of the polyhedral uncertainty region in the space of process parameters is proposed, with the supposition that the feasible region defined by the reduced inequality constraints is convex. An over-design FMSHEN is obtained by optimizing the stream heat transfer temperature difference contribution. Secondly, the optimal structure of the over-design FMSHEN is retained and each heat exchanger area is modified in order to make the FMSHEN less costly. The total annual cost of MSHEN, obtained from the simulation of MSHEN according to the vertices of the polyhedral uncertain region, is regarded as an objective function, and GA/SA is adopted for optimizing the heat exchanger areas. The remarkable feature of the strategy is that the size and the complexity of the problem are reduced significantly and with more probability of locating the global solution. Finally, two examples are illustrated to demonstrate the performance of the strategy for the synthesis of flexible multi-stream heat exchanger networks. (C) 2007 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
机译:柔性换热器网络(HEN)的综合通常被认为是过程参数在其标称值的指定偏差范围内的过度设计。由于HEN的过度设计,因此获得的HEN成本更高。由于所产生的混合整数非线性规划(MINLP)模型的不可微,非凸,最大-最小-最大约束,因此无法保证对柔性设计问题的全局解决方案。本文提出了一种新的同时两阶段合成灵活多流HEN(FMSHEN)的策略,并通过遗传/模拟退火算法(GA / SA)对其进行了优化。首先,基于拟温度焓(TH)图方法,提出了一种新的非线性规划(NLP)公式,该公式涉及过程参数空间中多面体不确定性区域的所有顶点,并假设定义了可行区域由减少的不平等约束是凸的。通过优化流的传热温度差异贡献来获得过度设计的FMSHEN。其次,保留了过度设计的FMSHEN的最佳结构,并修改了每个热交换器区域,以降低FMSHEN的成本。根据多面体不确定区域的顶点通过对MSHEN的模拟获得的MSHEN的年度总成本被视为目标函数,并采用GA / SA来优化换热面积。该策略的显着特征是,问题的大小和复杂性显着降低,并且更有可能找到全局解决方案。最后,举例说明了两个例子,以证明该策略用于合成灵活的多流换热器网络的性能。 (C)2007台湾化学工程师学会。由Elsevier B.V.发布。保留所有权利。

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