Performance and energy optimization of building automation and management systems: Towards smart sustainable carbon-neutral sports facilities

Elnour, Mariam, Fadli, Fodil, Yassine, Himeur, Petri, Ioan ORCID: https://orcid.org/0000-0002-1625-8247, Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400, Meskin, Nader and Ahmad, Ahmad M. 2022. Performance and energy optimization of building automation and management systems: Towards smart sustainable carbon-neutral sports facilities. Renewable and Sustainable Energy Reviews 162 , 112401. 10.1016/j.rser.2022.112401

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Abstract

Sports facilities (SFs) consume massive energy given their unique demand profiles and operation requirements. Intelligent and effective solutions are necessary to tackle the matter of facilities’ sustainability and efficiency. Promoting efficient and environmentally sustainable SFs is pivotal towards environmentally friendly and socially resilient cities. There is a lack of systematic literature review focused on the progress in SFs operation, sustainability, and energy optimization. To the best of the authors’ knowledge, this research presents the first review article addressing the research gap in building operation management and optimization for SFs compared to other types of buildings and SFs located in hot climatic zones compared to cold ones. The topic’s significance is highlighted with emphasis on the climatic zone and the characteristics of SFs. A comprehensive review and in-depth discussion of existing solutions are presented. Limited studies covered the management and optimization of SFs for the past five years compared to residential and commercial buildings, and 71% of them were for facilities located in cold regions. About 45% of the surveyed works targeted swimming pools since they are the most popular SFs’ type with the highest energy consumption per usable area. 39% of the reviewed studies employed simulation-based approaches to investigate the subject, 26% used artificial intelligence and machine learning, and 35% utilized optimization algorithms and other standard approaches. The limitations of those works and the prospects in energy and operation optimization of SFs are presented. The latter includes deploying evolving typologies such as deep learning, developing modular solutions that can be integrated into existing technologies, and deploying renewable energy systems for sustainable facilities. Finally, the active role of SFs in energy markets is discussed.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Publisher:	Elsevier
ISSN:	1364-0321
Funders:	Qatar National Research Fund
Date of First Compliant Deposit:	13 April 2022
Date of Acceptance:	24 March 2022
Last Modified:	29 Nov 2024 10:30
URI:	https://orca.cardiff.ac.uk/id/eprint/149178

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