摘要
及时准确的冷负荷预测对建筑空调系统的自动控制和节能运行具有非常重要的意义。通过回顾常用冷负荷计算和预测方法的研究并综合各方法优点,提出一种适用于办公建筑的逐时冷负荷分配系数法,并应用多个项目进行实际测算和验证,实现预测精度稳定在85%以上,保证了工程可实施性和通用性。
Accurate cooling load prediction is of great significance for the automatic control and energy saving operation of building’s air-conditioning system.Referring to the most common methods of cooling load calculation and prediction and synthesizing their advantages,an hourly-distribution-coefficient cooling load prediction model for office buildings is brought up and then verified by applying to multiple projects.Accuracy of predicting results reaches up to over 85%.Implement and versatility of the method in different projects are also ensured.
作者
贺延壮
曾贺湛
赵晓宇
潘立君
HE Yan-zhuang;ZENG He-zhan;ZHAO Xiao-yu;PAN Li-jun(Tongfang Technovator Int.(Beijing)Co.,Ltd.,Beijing 100083,China;Zhuhai Hengqin Energy Development Co.,Ltd.,Zhuhai 519000,Guangdong,China)
出处
《建筑节能》
CAS
2020年第12期69-72,122,共5页
BUILDING ENERGY EFFICIENCY
基金
“十三五”国家重点研发计划资助项目“基于全过程的大数据绿色建筑管理技术研究与示范”(2017YFC0704200)
关键词
办公建筑
冷负荷预测
在线修正
机器学习
office buildings
cooling load prediction
real-time correction
machine learning