用遗传算法分析氨厂热力系统网络。第二部分:网络修正

N. Chavda, P. Prabhakaran
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引用次数: 1

摘要

本部分研究了基于两种捏点分析方法,即网络捏点法(NPM)和改造分析(RA)对∆Tmin和Qmin方法使用遗传算法对氨厂HEN进行修改的两种选择。使用NPM与∆Tmin和Qmin方法,可以看到冷热公用事业减少了1,758 kW的范围,随后减少了368 m2和136 m2的HEN面积,导致年度总成本分别下降1.71%和1.30%。在修正组合中还发现,采用NPM与∆Tmin方法,可降低现有面积效率和理想面积效率的热、冷效用需求,投资回收期分别为1.69年和0.80年。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of thermal system network of an ammonia plant using genetic algorithms - part II: network modification
This part of the paper examines two options of modification of the HEN of the ammonia plant based on two methods of pinch analyses, viz., network pinch method (NPM) and retrofitting analysis (RA) using genetic algorithms for both ∆Tmin and Qmin approaches. Using NPM with ∆Tmin and Qmin approaches, it is seen that there is a scope for reduction in hot and cold utilities by 1,758 kW and subsequently reduction in area of HEN by 368 m2and 136 m2which results in decrease of total annual cost by 1.71% and 1.30% respectively. Amongst the combination of modification, it is also found that using NPM with ∆Tmin approach, the hot and cold utility requirements for existing area efficiency and ideal area efficiency can be reduced with a payback period of 1.69 years and 0.80 years respectively.
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