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Published in:
2020 | OriginalPaper | Chapter
Parametric Building Energy Modeling Based on Engineering Method and Data Monitoring
Authors : Zhi Zhuang, Weipeng Guo
Published in: Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019)
Publisher: Springer Singapore
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Abstract
To improve building energy performance and achieve energy conservation, it is significant to predict the energy use in buildings. However, either elaborate engineering methods or simplified statistical methods have their own disadvantages which limit their application. Therefore, this paper presents a new parametric modeling approach to predict building energy based on the combination of engineering method and data monitoring. A reference office building is set up for building energy simulation by parametric analysis. The key influential variables of total energy and sub-level energy can be screened with the optimal subset regression. Then the parametric building energy model is well formulated with regression of the key variables. The established model to predict the building energy consumption has the advantage of considering the main factors and requiring limited parameters input. In the end, the effectiveness of the proposed approach is verified by a real office building.