Modeling research on ground-coupled heat pump system based on artificial neural network

Yating Zhang, Weichang Jiang, Ruihua Wang
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Abstract

As a new technology of renewable energy, ground-coupled heat pump system has been rising in our country in recently years. However because of the nonlinear and high degree of coupling, it is not clear to find out the relationship between control variables and total energy consumption of the system. This paper proposes a modeling way for ground-coupled heat pump system that uses artificial neural network, it builds the relationship between control variables and total energy consumption of the system directly. Through the comparison we can find a better way for building the Ground-coupled heat pump System.
基于人工神经网络的地耦合热泵系统建模研究
地耦合热泵系统作为一种新兴的可再生能源技术,近年来在我国兴起。但由于系统的非线性和高度耦合,控制变量与系统总能耗之间的关系尚不清楚。本文提出了一种利用人工神经网络对地耦合热泵系统进行建模的方法,它直接建立了控制变量与系统总能耗之间的关系。通过比较,我们可以找到一种更好的方式来构建地耦合热泵系统。
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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