ARPA-E funded Julia Computing in 2020 as part of its DIFFERENTIATE program to apply artificial intelligence and machine learning tools to our nation's greatest energy challenges.

Julia Computing is tackling these challenges head-on, using their own computer programming language and advanced modeling and simulation tools to reduce the total energy consumption of heating, ventilation, and air conditioning (HVAC) systems in buildings, which account for 40% of the primary energy use in the US.

In this video, ARPA-E Program Director Dr. David Tew and Julia Computing's Dr. Viral Shah and Dr. Chris Rackauckas explain how the use of modeling and simulation tools in the design of a building can yield significant energy savings—up to 27 percent of total energy consumption.

Julia Computing seeks to improve upon these tools using the latest computing and mathematical technologies in differentiable programming and composable software to enhance the ability of engineers to design more energy efficient buildings.