基于熵分析法和(火积)分析法的换热网络适应性比较

doi:10.16085/j.issn.1000-6613.2017-0355

摘要/Abstract

摘要： 熵和(火积)是传热过程不可逆性的度量，可以通过分析不可逆损失来评价换热网络中能量的利用情况。针对换热网络存在不可逆性的问题，首先建立了基于熵分析法和(火积)分析法的换热网络能量利用效率的数学模型，然后以最大能量回收为目标，分别对某炼化企业的单段单程加氢裂化（SSOT）装置进行换热网络分析，比较了两种方法对该装置换热网络优化的适应性，并验证了熵分析法是否适用于分析复杂换热网络。结果表明，分别取最小传热温差ΔT_min=15K、20K、25K，熵分析法计算的热力学第二定律效率依次增大，分别为86.80%、88.59%、90.42%，违背了熵产最小原则。而(火积)分析法计算的(火积)传递效率依次降低，分别为76.45%、74.86%、73.41%，该趋势与"温差越大，(火积)传递热量的能力越低规律"相一致。最后由该结果说明了(火积)分析法比熵分析法更加适用于分析换热网络的能量利用效率，有利于评价换热网络的节能潜力。

关键词: 传热, 熵, (火积), 优化, 换热网络

Abstract: Entropy and entransy are the measure of irreversibility of heat transfer process,which can be used to evaluate the utilization of energy in the heat exchanger networks(HENs). In view of the irreversibility of HENs,firstly,the mathematical models of HENs energy efficiency were established based on entropy analysis method and entransy analysis method. Then, taking the maximum energy recovery as the goal,the HEN analysis of the single-stage once through hydrocracker (SSOT) unit was carried out. The applicability of the two methods was compared,and it was proved that the entropy analysis method is suitable for the analysis of complex HENs. The results showed that the minimum temperature differences ΔT_min were selected 15K,20K,25K respectively,and the heat transfer efficiency calculated by the two methods were different. The efficiency of the second law of thermodynamics calculated by entropy analysis method increased 86.80%,88.59% and 90.42%,respectively,which was inconsistent with the principle of minimum entropy production. The entransy transfer efficiency decreased 76.45%,74.86%,73.41%,respectively. The results of entropy analysis method were consistent with the greater the temperature differences,the lower the heat transfer ability. Thus,the entransy analysis method is more suitable for the analysis of energy utilization efficiency of HENs than that of entropy analysis method. At the same time,this method is helpful to evaluate the energy saving potential of heat transfer network.

Key words: heat transfer, entropy, entransy, optimization, heat exchanger networks

中图分类号:

TQ021.8

冯园丽, 夏力, 项曙光. 基于熵分析法和(火积)分析法的换热网络适应性比较[J]. 化工进展, 2017, 36(10): 3657-3664.

FENG Yuanli, XIA Li, XIANG Shuguang. Comparative study on heat exchanger network adaptability based on entropy analysis and entransy analysis[J]. Chemical Industry and Engineering Progress, 2017, 36(10): 3657-3664.

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