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The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Grey-box modeling and application for building energy simulations - A critical review

Open access
Li, Yanfei, O'Neill, Zheng, Zhang, Liang, Chen, Jianli, Im, Piljae, DeGraw, Jason·2021·Renewable and Sustainable Energy Reviews

Abstract

Abstract Grey-box modeling, as one of the three fundamental modeling techniques for building energy models, has many advantages compared with black-box modeling and white-box modeling. It has been widely applied to solve problems of building technologies, such as building load estimation, control and optimization, and building-grid integration. However, a thorough review of grey-box modeling is not available. This review study systematically investigated various aspects of grey-box modeling for buildings. First, the fundamental aspects of grey-box modeling are presented, including the theoretical background, modeling of building elements, modeling order, modeling diagram, and order reduction. Second, the detailed modeling approaches are discussed. Third, multiple applications of grey-box modeling are investigated for building energy domain, which are categorized into the following groups: heat dynamics analysis, thermal load estimation, building control and optimization, district/urban scale energy modeling, and building-grid integration. Finally, the available software packages for grey-box modeling are compared. Overall, the challenges of using grey-box modeling can be summarized as follows: (1) the theoretical limitations and assumptions of grey-box modeling are unclear; (2) grey-box model naming convention and structure are confusing; (3) grey-box model creation is vague; (4) suitable applications of grey-box models are unknown; and (5) grey-box models lack unified software solutions for wider adoption.

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Metadata

Authors
Li, Y., O'Neill, Z., Zhang, L., Chen, J., Im, P., & DeGraw, J.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2021-08
Volume
146
Pages
111174
ISSN
1364-0321 (ISSN-L)
OpenAlex
W3158049794
Cited by
359
References
74
FWCI
22.65
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Grey-box modeling and application for building energy simulations - A critical review. https://app.cochat.ai/papers/10.1016/j.rser.2021.111174
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Li, Y., O'Neill, Z., Zhang, L., Chen, J., Im, P., & DeGraw, J. (2021). Grey-box modeling and application for building energy simulations - A critical review. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2021.111174

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.