A Review of Energy Efficiency Strategies in Smart Buildings: Integrating Occupant Comfort, HVAC Optimisation, and Building Automation

The convergence of artificial intelligence and the Internet of Things technologies is transforming how smart buildings balance energy efficiency with occupant comfort. This systematic literature review synthesises research findings published between 2015 and 2025, drawing on 52 peer-reviewed studies alongside 26 additional authoritative standards and high-quality policy reports identified through a structured search across major academic databases, targeted journals, and grey literature. The synthesis examines reported approaches to heating, ventilation, and air conditioning system optimisation, building automation, digital twin technologies, and occupant-centred control strategies, with specific attention to cold climate contexts. Artificial intelligence and Internet of Things technologies such as model predictive control, deep reinforcement learning, adaptive comfort models, and integrated indoor air quality management have been reported to deliver measurable energy savings while sustaining or enhancing occupant comfort. The best performance is achieved when active AIoT-enabled systems are combined with passive measures appropriate for the climate. Persistent challenges include gaps in interoperability between systems, data governance issues, and the scalability of solutions in retrofitted buildings. The implications for professional practice highlight the need for interoperable, cyber-secure platforms aligned with retrofit standards such as the Publicly Available Specification 2035. Future research priorities include large-scale longitudinal validation, integration with renewable energy generation and district energy systems, refinement of personalised comfort control algorithms, and the development of user engagement strategies. By mapping the current evidence base and associated challenges, this review provides a reliable foundation for accelerating the adoption of artificial intelligence and Internet of Things technologies in smart buildings, supporting the pursuit of net-zero carbon emissions while enhancing occupant wellbeing.

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Publication Details

Journal
Research and Reviews in Sustainability
Published
2025-01-01
DOI
https://doi.org/10.5334/rss.9
Citations
2
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
2.01

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article

A Review of Energy Efficiency Strategies in Smart Buildings: Integrating Occupant Comfort, HVAC Optimisation, and Building Automation

Amin Al‐Habaibeh, Emmanuel Manu, Chinedu C. Onweh
2 citations
Research and Reviews in Sustainability
Building Energy and Comfort Optimization
2.01
article

A Review of Energy Efficiency Strategies in Smart Buildings: Integrating Occupant Comfort, HVAC Optimisation, and Building Automation

Amin Al‐Habaibeh, Emmanuel Manu, Chinedu C. Onweh
article en
2 citations

Abstract

The convergence of artificial intelligence and the Internet of Things technologies is transforming how smart buildings balance energy efficiency with occupant comfort. This systematic literature review synthesises research findings published between 2015 and 2025, drawing on 52 peer-reviewed studies alongside 26 additional authoritative standards and high-quality policy reports identified through a structured search across major academic databases, targeted journals, and grey literature. The synthesis examines reported approaches to heating, ventilation, and air conditioning system optimisation, building automation, digital twin technologies, and occupant-centred control strategies, with specific attention to cold climate contexts. Artificial intelligence and Internet of Things technologies such as model predictive control, deep reinforcement learning, adaptive comfort models, and integrated indoor air quality management have been reported to deliver measurable energy savings while sustaining or enhancing occupant comfort. The best performance is achieved when active AIoT-enabled systems are combined with passive measures appropriate for the climate. Persistent challenges include gaps in interoperability between systems, data governance issues, and the scalability of solutions in retrofitted buildings. The implications for professional practice highlight the need for interoperable, cyber-secure platforms aligned with retrofit standards such as the Publicly Available Specification 2035. Future research priorities include large-scale longitudinal validation, integration with renewable energy generation and district energy systems, refinement of personalised comfort control algorithms, and the development of user engagement strategies. By mapping the current evidence base and associated challenges, this review provides a reliable foundation for accelerating the adoption of artificial intelligence and Internet of Things technologies in smart buildings, supporting the pursuit of net-zero carbon emissions while enhancing occupant wellbeing.

Research and Reviews in SustainabilityVol. 1(1)
Nottingham Trent University (GB)
Nottingham Trent University, Trent University
Openalex Percentile: Top 12%
Building Energy and Comfort Optimization
2.01
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