Estimating hourly cooling load in commercial buildings using a thermal network model and electricity submetering data
详细信息 查看全文
- 作者：Ying Ji ; Peng Xu ; xupeng@tongji.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Pengfei Duan ; Xing Lu
- 关键词：Cooling load estimation ; Thermal network model ; Electricity submetering data ; GA algorithm ; Parameter optimization
- 刊名：Applied Energy
- 出版年：2016
- 出版时间：1 May 2016
- 年：2016
- 卷：169
- 期：Complete
- 页码：309-323
- 全文大小：1963 K
文摘
- •
Three hourly cooling load prediction models, called “RC-S” models, are proposed.
- •
Parameter optimization method with GA algorithm is proposed.
- •
Internal mass RC models compared to measured data are completed and analyzed.
- •
Internal mass RC models compared to EnergyPlus simulated data are done and analyzed.
- •
Better model is selected and it can provide reasonable estimation of cooling load.