AI-Powered HVAC systems demonstrate substantial energy savings and carbon emission reductions, with a favorable 1:60 carbon cost-benefit ratio per year. Between 2019 and 2023, the study observed a 3.12% reduction in district heating consumption and an 8.93% decrease in electricity consumption.

The study serves as a valuable meta-analysis, providing a robust reference point for estimating potential benefits of AI-powered HVAC systems in diverse settings. With an average yearly carbon saving of 64.8 tCO2e, these findings lay the groundwork for future research on AI's role in enhancing HVAC efficiency and sustainability.

The research reveals opportunities for even greater carbon reductions in environments with more demanding heating, cooling, or air conditioning requirements. A comparative analysis between Stockholm and Boston showed that implementing the same solution in Boston could yield carbon emission savings 7 times higher or 604% greater than in Stockholm.

Key challenges in integrating AI systems with legacy HVAC infrastructure were identified, including memory usage, computational intensity, and lifecycle limitations. This insight encourages a more comprehensive approach to AI implementation in HVAC systems, potentially leading to more efficient and adaptable building management solutions.