Energy performance model development and occupancy number identification of institutional buildings

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• 作者：Junjing Yang^a ; ^{bdgyj@nus.edu.sg" class="auth_mail" title="E-mail the corresponding author} ; Mattheos Santamouris^b ; Siew Eang Lee^a ; Chirag Deb^a
• 关键词：Identification tool ; Institutional building ; Occupancy ; Energy consumption ; Cooling load prediction ; Plug load
• 刊名：Energy & Buildings
• 出版年：2016
• 出版时间：1 July 2016
• 年：2016
• 卷：123
• 期：Complete
• 页码：192-204
• 全文大小：5421 K

文摘

This paper presents a detailed investigation and analysis of the energy consumption characteristics of three institutional buildings in Singapore. Building information, energy consumption data of the air-conditioning system, and energy consumption data of the plug loads were collected separately. Identification models are developed to predict the real daily energy consumption data. Developed models involve three specific functions to represent the variability of the daily occupancy, the additional occupancy due to visitors and the variation of outdoor air temperature. The performance of the developed identification model is very satisfactory and fits very well with the real energy consumption data. Based on the identification model, key factors which are influencing the energy consumption in institutional buildings are identified as the variability of the daily occupancy, hence a methodology is developed to calculate the occupancy in the building. The identified parameters are used as inputs into deterministic energy simulation programs, like Energy Plus, to perform detailed energy analysis. The whole methodology developed has improved significantly the accuracy of the energy simulation modeling of institutional buildings and has permitted to understand and evaluate the major energy characteristics of these buildings.