Proceedings of the International Workshop on Navigating the Digital Business Frontier for Sustainable Financial Innovation (ICDEBA 2024)

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Optimising HVAC Operations in Hospitals with AI and IoT: An Economic Analysis

Authors
Anyi Chen1, *
1Address 485 Danxia Road, Shushan District, Anhui, China
*Corresponding author. Email: 2023212723@mail.hfut.edu.cn
Corresponding Author
Anyi Chen
Available Online 24 February 2025.
DOI
10.2991/978-94-6463-652-9_39How to use a DOI?
Keywords
HVAC optimisation; Artificial Intelligence; IoT; economic benefits
Abstract

As critical public service facilities, hospital buildings face unique challenges in managing energy consumption due to their dense occupancy and extensive equipment usage. HVAC systems account for a substantial portion of hospital energy expenditure. This study addresses these challenges by leveraging AI and IoT technologies to optimise HVAC operations. AI-based control systems continuously learn from data and adapt to complex operational environments, maintaining optimal indoor conditions while minimising energy consumption. IoT sensors enable real-time monitoring and automated control, reducing cooling capacity waste and increasing energy efficiency. The economic benefits of this approach are analysed, including reduced energy consumption, HVAC operating costs, and total economic benefits over ten years. The study finds that AI-driven HVAC systems significantly outperform traditional energy management methods, offering long-term financial advantages and improved occupant satisfaction. The findings highlight the potential of AI and IoT technologies to revolutionise HVAC energy management in hospitals, providing significant economic and operational benefits.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Workshop on Navigating the Digital Business Frontier for Sustainable Financial Innovation (ICDEBA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
24 February 2025
ISBN
978-94-6463-652-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-652-9_39How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Anyi Chen
PY  - 2025
DA  - 2025/02/24
TI  - Optimising HVAC Operations in Hospitals with AI and IoT: An Economic Analysis
BT  - Proceedings of the International Workshop on Navigating the Digital Business Frontier for Sustainable Financial Innovation (ICDEBA 2024)
PB  - Atlantis Press
SP  - 377
EP  - 383
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-652-9_39
DO  - 10.2991/978-94-6463-652-9_39
ID  - Chen2025
ER  -