摘要
分析公共建筑空调负荷的影响因素,利用DeST模拟软件对大连某公共建筑进行建筑负荷模拟,分析含湿量、干球温度、太阳散射辐射强度、太阳直射辐射强度与建筑空调热负荷之间的关系。利用SPSS软件对4个因素进行多元回归预测分析,建立供暖空调负荷预测回归方程,预测结果可以展现公共建筑在供暖季内的逐日负荷变化趋势,为建筑的空调负荷计算提供便捷的计算方法。
The influence factors of air conditioning load of public buildings were analyzed,and the building load of a public building in Dalian was simulated by DeST simulation software.The relationship between humidity content,dry bulb temperature,solar scattered radiation intensity,direct solar radiation intensity and heat load of building air conditioning was analyzed.SPSS software is used for multiple regression prediction analysis of the above four,and the regression equation of heating and air conditioning load prediction is established.The related prediction results show the daily load variation trend of the public building in the heating season,which provides a convenient calculation method for the air conditioning load calculation of the building.
作者
李旭林
谭明坤
LI Xu-lin;TAN Ming-kun
出处
《节能》
2023年第4期8-11,共4页
Energy Conservation
关键词
寒冷地区
公共建筑
负荷预测
cold region
public buildings
load forecasting
