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Heat exchanger network cost optimization considering multiple utilities and different types of heat exchangers

机译:考虑多种公用事业和不同类型热交换器的热交换器网络成本优化

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摘要

Supertargeting based on composite curves (CC) is widely used to determine the optimum approach temperature (△T_(min)) that yields the minimum total cost for heat exchange networks (HEN). Supertargeting using CC has two key limitations. Firstly, the HEN area calculations are drastically simplified through the assumption that CC segments may be considered as pseudo-single hot and cold streams exchanging heat via only one exchanger that is governed by a single cost correlation. Secondly, the current Supertargeting approach of considering only one hot and one cold utility level may lead to a crude estimation of the total HEN cost and the optimum △T_(min). This work presents the stream temperature vs. enthalpy plot supertargeting (STEPS) method that overcomes these limitations. This paper proves that supertargeting based on CC can lead to up to 50% error in the total cost target and poor △T_(min) estimations.
机译:基于复合曲线(CC)的超目标被广泛用于确定最佳的接近温度(△T_(min)),从而使换热网络(HEN)的总成本降至最低。使用CC的超级定位有两个关键限制。首先,通过假设CC段可以视为仅通过一个由单个成本相关性控制的换热器进行热交换的伪单热流和冷流,就可以大大简化HEN面积的计算。其次,当前仅考虑一个热和一个冷效用水平的超级目标方法可能导致对总HEN成本和最优△T_(min)的粗略估计。这项工作提出了克服这些限制的流温度与焓图超标靶(STEPS)方法。本文证明,基于CC的超目标可导致总成本目标中的错误率高达50%,并且△T_(min)估计值较差。

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