Grey-Box Method for Urban Building Energy Modelling: Advancements and Potentials

Urban building energy modelling (UBEM) has consistently been a pivotal tool to evaluate and control a building stock’s energy consumption. There are two main approaches to build up UBEM: top-down and bottom-up. The latter is the most commonly used in engineering. The bottom-up approach includes thre...

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Bibliographic Details
Published in:Energies (Basel) 2024-11, Vol.17 (21), p.5463
Main Authors: Guo, Yucheng, Shi, Jie, Guo, Tong, Guo, Fei, Lu, Feng, Su, Lingqi
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Artificial intelligence
building energy efficiency
building performance simulation
Buildings
Construction
Datasets
Energy consumption
hybrid model
Methods
modelling approach
Neural networks
Physics
Regression analysis
Simulation
Statistical analysis
urban building energy modelling
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Summary:Urban building energy modelling (UBEM) has consistently been a pivotal tool to evaluate and control a building stock’s energy consumption. There are two main approaches to build up UBEM: top-down and bottom-up. The latter is the most commonly used in engineering. The bottom-up approach includes three methods: the physical-based method, the data-driven method, and the grey-box method. The first two methods have previously received ample attention and research. The grey-box method is a modelling method that has emerged in recent years that combines the traditional physical method with the data-driven method while it aims to avoid their problems and merge their advantages. Nowadays, there are several approaches for modelling the grey-box model. However, the majority of existing reviews on grey-box methods concentrate on a specific technical approach and thus lack a comprehensive overview of modelling method perspectives. Accordingly, by conducting a comprehensive review of the literature on grey-box research in recent years, this paper classifies grey-box models into three categories from the perspective of modelling methods and provides a detailed summary of each, concluding with a synthesis of potential research opportunities in this area. The aim of this paper is to provide a foundational understanding of grey-box modelling methods for similar research, thereby removing potential barriers in the field of research methods.
ISSN:1996-1073
1996-1073
DOI:10.3390/en17215463