Research on the operation and optimization of ground source heat pump system
ZHANG Zhen
NIE Jianchun
SAREN Gaowa
NIU Getu
A Ruhan
YANG Zhengliang
LI Chenxia
Abstract：Aiming at the low operating efficiency of the existing ground source heat pump system,this paper takes the ground source heat pump system of Tianjin Architectural Design Institute as the research object,uses the method of experiment and simulation to optimize the system,and introduces the operating performance of the ground source heat pump system.BP neural network is used to predict the COP of ground source heat pump system,and the best prediction model is obtained.The ground source heat pump system is optimized and compared with the unoptimized condition.The results show that the COP of the ground source heat pump system is above 4.50 in the cooling season and above 3.45 in the heating season.BP neural network is used to predict the results better.After optimization,the total power consumption of the heat pump unit of the ground source heat pump system is reduced by more than 4.5％and the total power consumption of the water pump is reduced by more than 8.0％.
Keywords：ground source heat pumpBP neural networkheat pump unitcoefficient of performance
Publication Date：2025-01-31
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 61-65 )