期刊文献+

夏热冬冷地区某复合式地源热泵系统运行策略 被引量:4

Operation strategy of a compound ground-source heat pump system in hot summer and cold winter zone
下载PDF
导出
摘要 对夏热冬冷地区某项目空调冷热负荷进行详细计算和分析,将双冷凝器水源热泵机组应用于冷却塔辅助型复合式地源热泵系统,通过灵活的机组配置及合理的运行策略解决了地源热泵系统土壤释热量和取热量的平衡问题,并详细介绍了运行策略。由于理论计算和实际运行参数存在偏差,提出土壤温度动态纠偏的理念,保证地下温度场的长期平衡,达到地源热泵系统长期高效、稳定运行的目的。 The air conditioning cooling and heating load of a project in hot summer and cold winter zone is calculated and analyzed in detail,and the dual-condenser water-source heat pump unit is applied to the cooling tower-assisted compound ground-source heat pump system.The flexible unit configuration and reasonable operation strategy solve the problem of the balance of heat release and heat extraction from soil in the ground-source heat pump system,and the operation strategy is presented in detail.Due to the deviation between theoretical calculation and actual operation,the concept of soil temperature dynamic correction is proposed to ensure the long-term balance of the underground temperature field and achieve the purpose of long-term efficient and stable operation of the ground-source heat pump system.
作者 张抗 张勇 杨孝鹏 唐浩然 孟欣 汪锐 Zhang Kang;Zhang Yong;Yang Xiaopeng;Tang Haoran;Meng Xin;Wang Rui(Anhui urban construction design Institute Co.,Ltd.,Hefei;Hefei University of Technology Design Institute(Group)Co.,Ltd.,Hefei;China Energy Engineering Group Anhui Electric Power Design Institute Co.,Ltd.,Hefei)
出处 《暖通空调》 2022年第5期117-119,7,共4页 Heating Ventilating & Air Conditioning
关键词 复合式地源热泵系统 双冷凝器 水源热泵机组 运行策略 土壤热平衡 compound ground-source heat pump system dual condenser water-source heat pump unit operation strategy heat balance of soil
  • 相关文献

参考文献2

二级参考文献16

  • 1袁旭东,王彬,吴伯谦.混合式土壤源热泵应用分析[J].制冷与空调,2006,6(1):40-43. 被引量:19
  • 2刚文杰,王劲柏.基于神经网络的冷却塔出水温度的预测[C]//全国暖通空调制冷2010年学术年会资料集,2010.
  • 3杨文广,王劲柏,易刚,等.冷却塔、地埋管换热器联合运行地源热泵系统节能研究[C]//2008铁路暖通空调学术年会论文集,2008.
  • 4Lund J, Sanner B. Geothermal (ground - source) heat pumps a world overview [ N ]. GHC BULLETIN, 2004.
  • 5Cenk Y, Jeffrey D S. Comparative study of operating and control strategies for hybrid ground - source heat pump systems using a short time step simulation model [J]. ASHRAE Transactions, 2000, 106 (2) : 192 - 209.
  • 6Ming Gao, Feng - zhong Sun, Shou - jun Zhou, et al. Performance prediction of wet cooling tower using artificial neural network under cross - wind conditions [ J]. International Journal of Thermal Sciences, 2009, 48 : 583 - 589.
  • 7Michopoulos A, Kyriakis N. Predicting the fluid temperature at the exit of the vertical ground heat exchangers [ J ]. Appl Energy, 2009,86 (10) :2065 - 2070.
  • 8Hikmet Esen, Mustafa Inalli, Abdulkadir Sengur, et al. Performance prediction of a ground - coupled heat pump system using artificial neural networks [ J ]. Expert Systems with Applications, 2008, 35 (4): 1940 - 1948.
  • 9Hikmet Esen, Mustafa Inalli, Abdulkadir Sengur, et al. Forecasting of a ground - coupled heat pump per- formance using neural networks with statistical data weighting pre - processing [ J ]. International Journal of Thermal Sciences, 2008, 47 (40): 431 -441.
  • 10Hikmet Esen, Mustafa Inalli, Abdulkadir Sengur, et al. Artificial neural networks and adaptive neuro - fuzzy assessments for ground- coupled heat pump system [ J ]. Energy and Buildings, 2008, 40 (6) : 1074 - 1083.

共引文献13

同被引文献21

引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部