A comprehensive evaluation method of heat source tower heat pump applicability considering regional climate differences

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY

Journal of Computational Methods in Sciences and Engineering Pub Date : 2023-12-15 DOI:10.3233/jcm-226957

Hongyin Chen, Songcen Wang, Ming Zhong, Lu Jin, Xiaoqiang Jia, Yi Guo, Xinhe Zhang, Wei Huang

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引用次数: 0

Abstract

The heat source tower heat pump system is widely used in large and medium-sized air conditioning systems due to its good energy-saving advantages. However, there is no relatively reasonable evaluation system for the applicability of heat source tower heat pumps due to significant regional climate differences. Therefore, in order to better comprehensively evaluate the applicability of the heat source tower heat pump system, a comprehensive evaluation index system for the applicability of the heat source tower heat pump system was first constructed. On the basis of this evaluation index, an applicability evaluation model based on backpropagation neural network is constructed. In response to the slow convergence speed and susceptibility to local values in the application process of this evaluation model, particle swarm optimization algorithm is used to improve it. A comprehensive evaluation model for the applicability of heat source tower heat pumps based on improved backpropagation neural networks has been constructed. For the evaluation model constructed in the study, experimental data from four different regions were selected for validation. The experimental results show that in the training set, the F-Measure value of the evaluation model reaches 0.949, and in the test set, the F-Measure value of the model reaches 0.973. The comprehensive evaluation data from four regions indicate that the heat source tower heat pump system can achieve different heating and cooling effects in different regions. This indicates that the proposed comprehensive evaluation model for the applicability of heat source tower heat pumps based on this improved method has good evaluation results. It can conduct a good analysis of the applicability of the heat source tower heat pump system, providing effective support for developing reasonable and energy-saving refrigeration and heating methods in different regions.

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考虑地区气候差异的热源塔热泵适用性综合评估方法

热源塔式热泵系统以其良好的节能优势被广泛应用于大中型空调系统中。然而，由于地区气候差异较大，目前还没有相对合理的热源塔热泵适用性评价体系。因此，为了更好地综合评价热源塔热泵系统的适用性，首先构建了热源塔热泵系统适用性综合评价指标体系。在此评价指标的基础上，构建了基于反向传播神经网络的适用性评价模型。针对该评价模型在应用过程中收敛速度慢、易受局部值影响等问题，采用粒子群优化算法对其进行了改进。基于改进的反向传播神经网络，构建了热源塔式热泵适用性综合评价模型。针对本研究构建的评价模型，选取了四个不同地区的实验数据进行验证。实验结果表明，在训练集中，评价模型的 F-Measure 值达到 0.949，在测试集中，模型的 F-Measure 值达到 0.973。四个地区的综合评价数据表明，热源塔式热泵系统在不同地区能达到不同的供热和制冷效果。这表明，基于该改进方法提出的热源塔热泵适用性综合评价模型具有良好的评价效果。它可以对热源塔热泵系统的适用性进行很好的分析，为不同地区开发合理节能的制冷制热方式提供有效支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computational Methods in Sciences and Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

0.80

自引率

0.00%

发文量

152

期刊介绍： The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.