Develop AI solutions to improve
energy efficiency and demand flexibility
for buildings
Building energy management plays a critical role in tackling climate change.
United Nations Energy Programme reports that buildings account for 36% of global energy consumption, and 40% of CO2 emissions.
In the US, HVAC systems consume 35% of the total energy in commercial buildings.
Researches show that using AI to control HVAC systems can potentially reduce the energy consumption by 10-20% or more.
Combining HVAC control and lighting/window/shading controls using AI can reduce the energy consumption even more.
US Department of Energy launched Grid-interactive Efficient Buildings initiative in 2019.
To remake buildings adaptive to energy supply and demand, and maintain energy efficiency and comfort.
Conventional Building Management Systems can no longer meet these needs, while artificial intelligence suits the needs perfectly due to its highly adaptive capability.
The next generation, AI based, BMS systems out-perform the convention systems right out of the box, as it can use more predicted data, such as weather forecast, and energy supply/demand data.
Moreover, it can keep learning individual building's energy characteristics after deployment, get better and better, and eventually reach to the optimal control policy tailored to that building.
At Building-X, we develop disruptive solutions to improve energy efficiency, demand flexibility, and resilience for buildings.
Together, we make buildings more sustainable.
36%
ENERGY CONSUMED
by buildings globally
electric_meter40%
CO2 EMISSION
by buildings globally
airwave35%
ENERGY CONSUMED
by HVAC in commercial buildings
hvac10-20%+
ENERGY SAVINGS
achievable by using AI to optimize HVAC
energy_program_saving