SIMPLIFIED METHOD FOR PREDICTION OF COOLING LOAD

被引:0
|
作者
Yoo, Seong-Yeon [1 ]
Han, Kyu-Hyun [1 ]
Kim, Jin-Hyuck
机构
[1] Chungnam Natl Univ, Mechatron Grp BK21, Taejon, South Korea
关键词
NEURAL-NETWORKS; WALLS;
D O I
暂无
中图分类号
O414.1 [热力学];
学科分类号
摘要
A simplified method is developed to predict the hourly cooling load of the next day. Only four building specifications and the estimated temperature and humidity of the next day are used to predict the cooling load. The sensible heat loads are calculated using the sensible heat coefficient, outdoor air coefficient, and sensible heat constant. Similarly, the latent heat loads are calculated using the outdoor air coefficient, latent heat constant. Four building specifications, that is, sensible heat coefficient, outdoor air coefficient, sensible heat constant and latent heat constant are determined from the building design data for cooling load. In order to validate the prediction model, two benchmarking buildings are selected, and cooling loads are measured in the actual operation conditions. The predicted results show fairly good agreement with the measured data for both buildings.
引用
收藏
页码:41 / 46
页数:6
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