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基于改进粒子群算法的中深层地源热泵供暖系统运行优化

OPTIMIZATION OF MIDDLE AND DEEP GROUND SOURCE HEAT PUMP HEATING SYSTEM BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM
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摘要 构建变工况运行且包含蓄热装置的中深层地源热泵供暖系统,基于改进粒子群算法,分别以运行费用、系统COP和地热能利用系数为目标函数对系统运行进行优化,并对优化结果进行比较和分析。结果表明:对应目标函数优化后的运行费用、系统COP和地热能利用系数分别为279.27元、6.4420和0.8527。以系统COP为目标函数的优化效果与运行费用相反,而与地热能利用系数相近。 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.
作者 张俊峰 徐继军 徐建伟 信敏 张健 Zhang Junfeng;Xu Jijun;Xu Jianwei;Xin Min;Zhang Jian(Northwest Engineering Corporation Limited,PowerChina,Xi’an 710065,China;Qinghai Branch of Powerchina Renewable Energy Co.,Ltd.,Xining 810001,China;State Key Laboratory of Multiphase Flow in Power Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
出处 《太阳能学报》 EI CAS CSCD 北大核心 2024年第4期311-317,共7页 Acta Energiae Solaris Sinica
关键词 地源热泵 粒子群算法 地热能 地埋管 改进优化 ground source heat pump particle swarm optimization(PSO) geothermal energy buried pipe improvement optimization
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