Calibrating building energy simulation models: A review of the basics to guide future work

Calibrating building energy simulation models: A review of the basics to guide future work. Chong, A., Gu, Y., & Jia, H. Energy and Buildings, 253:111533, December, 2021.

Paper doi abstract bibtex

Building energy simulation (BES) plays a signiﬁcant role in buildings with applications such as architectural design, retroﬁt analysis, and optimizing building operation and controls. There is a recognized need for model calibration to improve the simulations’ credibility, especially with building data becoming increasingly available and the promises that a digital twin brings. However, BES calibration remains challenging due to the lack of clear guidelines and best practices. This study aims to provide the foundation for future research through a detailed systematic review of the vital aspects of BES calibration. Speciﬁcally, we conducted a meta-analysis and categorization of the simulation inputs and outputs, data type and resolution, key calibration methods, and calibration performance evaluation. This study also identiﬁed reproducible simulations as a critical issue and proposes an incremental approach to encourage future research’s reproducibility.

@article{chong_calibrating_2021-1,
	title = {Calibrating building energy simulation models: {A} review of the basics to guide future work},
	volume = {253},
	issn = {03787788},
	shorttitle = {Calibrating building energy simulation models},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0378778821008173},
	doi = {10.1016/j.enbuild.2021.111533},
	abstract = {Building energy simulation (BES) plays a signiﬁcant role in buildings with applications such as architectural design, retroﬁt analysis, and optimizing building operation and controls. There is a recognized need for model calibration to improve the simulations’ credibility, especially with building data becoming increasingly available and the promises that a digital twin brings. However, BES calibration remains challenging due to the lack of clear guidelines and best practices. This study aims to provide the foundation for future research through a detailed systematic review of the vital aspects of BES calibration. Speciﬁcally, we conducted a meta-analysis and categorization of the simulation inputs and outputs, data type and resolution, key calibration methods, and calibration performance evaluation. This study also identiﬁed reproducible simulations as a critical issue and proposes an incremental approach to encourage future research’s reproducibility.},
	language = {en},
	urldate = {2022-01-18},
	journal = {Energy and Buildings},
	author = {Chong, Adrian and Gu, Yaonan and Jia, Hongyuan},
	month = dec,
	year = {2021},
	pages = {111533},
}

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