OPTIMIZATION OF MIDDLE AND DEEP GROUND SOURCE HEAT PUMP HEATING SYSTEM BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM

被引：0
作者：
Zhang J. [1 ]
Xu J. [2 ]
Xu J. [2 ]
Xin M. [1 ]
Zhang J. [1 ]
机构：
[1] Northwest Engineering Corporation Limited, PowerChina, Xi’an
[2] Qinghai Branch of Powerchina Renewable Energy Co.，Ltd., Xining
[3] State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 04期
关键词：
buried pipe; geothermal energy; ground source heat pump; improvement optimization; particle swarm optimization（PSO）;
D O I：
10.19912/j.0254-0096.tynxb.2022-1900
中图分类号：
学科分类号：
摘要：
A middle and deep ground source heat pump heating system with variable operating conditions and a thermal storage device is constructed. Based on the improved particle swarm optimization algorithm，the operation of the system is optimized with the operating cost，system coefficient of performance（COP）and geothermal energy utilization coefficient as objective functions，and the optimization results are compared and analyzed. The results show that the operating cost，system COP and geothermal energy utilization coefficient are 279.27 yuan，6.4420 and 0.8527，respectively. Taking the system COP as the objective function ，the optimization effect is opposite to the operating cost，but similar to the geothermal energy utilization coefficient. © 2024 Science Press. All rights reserved.
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页码：311 / 317
页数：6
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