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.

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

Release date 24 Jun 2022
Version 1
Document ref. Buildings_WP508_EN
File format PDF (1.3 MB)
File Name | Size | Action WP508_V1_EN.pdf 1.3 MB

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

Release date 24 Jun 2022
Version 1
Document ref. Buildings_WP508_EN
File format PDF (1.3 MB)
WP508_V1_EN.pdf
Release date 24 Jun 2022
Version 1
File Name WP508_V1_EN.pdf
File format PDF