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A cost targeting method for studying investment on heat exchanger networks for collection of industrial excess heat

机译：一种用于学习换热器网络投资的成本靶向方法，用于收集工业多余热量

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This paper discusses the design of water based heat collection system for recovery of industrial excess heat. The focus in on the problem of finding the optimal combinations of excess heat sources minimizing heat exchanger network capital costs for different amounts of total recovered heat. A cost targeting approach based on vertical heat transfer between hot process streams and the heat collection medium in Pinch Analysis diagrams is used. The set of process streams where heat shall be recovered is found by solving an optimization problem where heat recovery is maximized while minimizing the capital costs simultaneously. A genetic algorithm based optimization tool is used. The analysis is conducted for three plants belonging to a chemical cluster. The results are compared with results from previous investigations in which the process excess heat sources were chosen based on their incremental heat contribution. The new approach presented in this work allows identifying a much larger set of solutions as well as considerably lower capital costs for similar amount of recovered heat in cases when process streams largely differ in terms of temperature levels and heat transfer properties.
机译：本文讨论了产业多余热量恢复水的蓄热系统设计。重点在于找到多余热源的最佳组合的问题，最小化热交换器网络资本成本的不同量恢复的热量。使用基于热处理流与夹切分析图中的热处理介质之间的垂直传热的成本靶向方法。通过求解热量恢复最大化的优化问题，同时同时最大限度地恢复热量的过程流的一组工艺流。使用基于遗传算法的优化工具。对属于化学簇的三种植物进行分析。将结果与先前调查的结果进行比较，其中基于其增量热贡献选择过量的热源。本作作品中呈现的新方法允许识别更大的溶液以及在过程流在温度水平和传热性能范围内的过程流程很大程度上不同的情况下，对于类似的回收热量的大量资金成本。

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