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Review

Nanofluid-Enhanced HVAC&R Systems (2015–2025): Experimental, Numerical, and AI-Driven Insights with a Strategic Roadmap

Department of Mechanical and Manufacturing Engineering, Tennessee State University, Nashville, TN 37209, USA
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Author to whom correspondence should be addressed.
Sustainability 2025, 17(16), 7371; https://doi.org/10.3390/su17167371
Submission received: 22 July 2025 / Revised: 9 August 2025 / Accepted: 12 August 2025 / Published: 14 August 2025

Abstract

Heating, ventilation, air conditioning, and refrigeration (HVAC&R) systems account for a significant share of global energy demand, prompting intensive research into advanced thermal enhancement techniques. Among these, nanofluids—colloidal suspensions of nanoparticles in base fluids—have shown promise in boosting heat transfer performance. This review provides a structured and critical evaluation of nanofluid applications in HVAC&R systems, synthesizing research published from 2015 to 2025. A total of 200 peer-reviewed articles were selected from an initial pool of over 900 through a systematic filtering process. The selected literature was thematically categorized into experimental, numerical, hybrid, and AI/ML-based studies, with further classification by fluid type, performance metrics, and system-level relevance. Unlike prior reviews focused narrowly on thermophysical properties or individual components, this work integrates recent advances in artificial intelligence and hybrid modeling to assess both localized and systemic enhancements. Notably, nanofluids have demonstrated up to a 45% improvement in heat transfer coefficients and up to a 51% increase in the coefficient of performance (COP). However, the review reveals persistent gaps, including limited full-system validation, underexplored real-world integration, and minimal use of AI for holistic optimization. By identifying these knowledge gaps and research imbalances, this review proposes a forward-looking, data-driven roadmap to guide future research and facilitate the scalable adoption of nanofluid-enhanced HVAC&R technologies.
Keywords: nanofluids; HVAC & refrigeration; heat transfer enhancement; AI/ML modeling; energy efficiency nanofluids; HVAC & refrigeration; heat transfer enhancement; AI/ML modeling; energy efficiency

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MDPI and ACS Style

Myat, A.; Rahman, M.M.; Akbar, M. Nanofluid-Enhanced HVAC&R Systems (2015–2025): Experimental, Numerical, and AI-Driven Insights with a Strategic Roadmap. Sustainability 2025, 17, 7371. https://doi.org/10.3390/su17167371

AMA Style

Myat A, Rahman MM, Akbar M. Nanofluid-Enhanced HVAC&R Systems (2015–2025): Experimental, Numerical, and AI-Driven Insights with a Strategic Roadmap. Sustainability. 2025; 17(16):7371. https://doi.org/10.3390/su17167371

Chicago/Turabian Style

Myat, Aung, Md Mashiur Rahman, and Muhammad Akbar. 2025. "Nanofluid-Enhanced HVAC&R Systems (2015–2025): Experimental, Numerical, and AI-Driven Insights with a Strategic Roadmap" Sustainability 17, no. 16: 7371. https://doi.org/10.3390/su17167371

APA Style

Myat, A., Rahman, M. M., & Akbar, M. (2025). Nanofluid-Enhanced HVAC&R Systems (2015–2025): Experimental, Numerical, and AI-Driven Insights with a Strategic Roadmap. Sustainability, 17(16), 7371. https://doi.org/10.3390/su17167371

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