Learn how building heat loss data are used to model energy savings potential, and increase customer participation
Homeowners are 5 times more likely to take action after seeing a thermal image of their home.
Making Heat Visible: Promoting Energy Conservation Behaviors Through Thermal Imaging (Goodhew et al., 2014)
Drive rebate program uptake
Increase program participation with less resources
Capture more energy savings
You want to drive change. We can help.
Energy efficiency modeling using heat loss data offers a powerful new way to estimate potential savings and optimize program participation. Understanding building heat loss across different geographic and demographic markets informs targeted programming, while motivating customers to undertake retrofits that save energy, money and increase comfort.
Heat loss data are processed using machine learning on city-wide airborne thermal imagery, that enables comparison of similar buildings types. For residential buildings, one unit of improvement in the Heat Loss Rating corresponds to a 3-5% reduction in natural gas consumption, and 1-1.5% reduction in electricity consumption.
Get our whitepaper to understand how you can capture more energy savings with heat loss data.