摘要
为降低长江三角洲温室冬季供暖能耗,提出一种采用温室运行热负荷预测技术进行开放式温室地表水源热泵供暖系统(surface water-source heathump system,SWSHPS)的供暖设计方法。结合温室的工程运行实际和各种环境因素,建立了温室热平衡预测模型。并采用MATLAB/SIMULINK模块进行了8种温室环境条件下的能量数值模拟,计算了温室不同覆盖材料和保温幕状态的能耗,当室外空气温度为0℃时,纳米掺锑二氧化锡涂膜玻璃温室比普通浮法玻璃温室可减少能耗23%,夜间开启保温幕比收拢可减少能耗22%。最后进行了温室冬季供暖试验,试验结果表明:室内空气温度垂直分布较均匀,能够满足设计要求,1月份系统平均制热性能系数(coefficient of performance,COP)值为2.3。基于热平衡预测模型设计的温室地表水水源热泵供暖系统是可行的。
In order to decrease greenhouse energy cost in winter in Yangtze River Delta,design method of open-loop surface water source heat pump system（SWSHPS） for greenhouse heating was presented based on greenhouse heat load prediction technology.Combined various environmental factors of greenhouse with actual operation of greenhouse,thermal balance prediction model was built.Greenhouse heating loads were numerically simulated under 8 kinds of environmental conditions using Matlab/simulink and the greenhouse energy cost was calculated under the conditions of different covering materials and opening or closing thermal screen.The conclusion that when the outside air temperature was 0℃,the greenhouse covered by glass coating with ATO（antimony doped tin oxide） could decrease energy consumption 23% than greenhouse covered with conventional float glass,and at night the greenhouse with the opening internal thermal screens of the roofs could reduce energy consumption 22% than the greenhouse with closing them was arrived at based on model calculation.And then the heating experiments of greenhouse were conducted in winter.The results showed that distribution of air temperature was uniform in greenhouse,temperature met the needs of greenhouse environment,and average COP（coefficient of performance） value for system in January was 2.3.Greenhouse heating design method of SWSHPS based on thermal balance prediction model is reliable.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2011年第11期227-231,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金资助项目(30771247)
浙江省重大科技专项重点项目(2006C12040)
浙江省教育厅基金(Y200803864)
关键词
温室
热泵系统
模型
热平衡
地表水源
制热性能系数
greenhouses
heat pump system
models
thermal balance
surface water-source
coefficient of performance
