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
张俊峰 1徐继军 2徐建伟 1信敏 1张健3
作者信息
- 1. 中国电建集团西北勘测设计研究院有限公司,西安 710065
- 2. 中国电建新能源集团青海分公司,西宁 810001
- 3. 西安交通大学动力工程多相流国家重点实验室,西安 710049
- 折叠
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.
Abstract
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.
关键词
地源热泵/粒子群算法/地热能/地埋管/改进优化Key words
ground source heat pump/particle swarm optimization(PSO)/geothermal energy/buried pipe/improvement optimization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据