Building energy performance monitoring through the lens of data quality: a review

Morewood, Jack ORCID: https://orcid.org/0000-0002-7475-3588 2023. Building energy performance monitoring through the lens of data quality: a review. Energy and Buildings 279 , 112701. 10.1016/j.enbuild.2022.112701

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Abstract

Data quality is important across sectors to ensure that data meets the requirements of its users, but until now little attention has been given to how it is reported in the architecture, engineering and construction (AEC) sectors. The lack of visibility about data quality in building energy performance monitoring motivated a review of 162 articles published since 2017. This identified that data quality reporting was fragmented and limited, with a gap from best practice and a lack of standardisation around requirements specific to building performance, including data comparability and spatiotemporal granularity. Where data quality issues were diagnosed, this was in isolation and concerned individual data quality attributes rather than within a comprehensive data governance strategy. This powerfully evidences the need to build consensus across AEC about (1) the required levels of data quality from building energy performance data, (2) a consistent reporting vocabulary and (3) how data quality is achieved.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Architecture
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Publisher:	Elsevier
ISSN:	0378-7788
Date of First Compliant Deposit:	1 December 2022
Date of Acceptance:	26 November 2022
Last Modified:	05 May 2023 21:31
URI:	https://orca.cardiff.ac.uk/id/eprint/154608

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