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Using AI to Optimize HVAC Systems in Buildings: A Real-world Example

Artificial intelligence (AI) technology has the potential to significantly improve a building’s energy efficiency, environmental sustainability, and occupant health, but examples have been largely theoretical. In this paper, we describe a “real-world” AI solution and its implementation in 624 school buildings. After about 5 months of operation (winter season), the solution reduced heating energy by 4%, reduced electricity usage by 15%, reduced CO2e emissions by 205 tonnes, and reduced occupant complaints by 23%. We explain these results and provide lessons learned from the project.

Date: 24 June 2022 | Type: White paper
Languages: English | Version: V1
Document Reference: Buildings_WP508_EN

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WP508_V1_EN.pdf