The six-month trial has resulted in a 12% reduction in heating, ventilation, and air conditioning (HVAC) system energy consumption, a 17% decrease in building equipment run-time
Brisbane Airport Corporation (BAC) has forged an agreement with the Canadian AI and cloud-computing firm BrainBox AI to expand its use of artificial intelligence energy optimisation technology across the airport.
Following the successful trial of BrainBox AI’s technology in a select area of the Brisbane Airport property (BNE), BAC has decided to expand its use of artificial intelligence software to decrease energy consumption associated with plants and associated systems.
According to BrainBox AI, the six-month trial has resulted in a 12% reduction in heating, ventilation, and air conditioning (HVAC) system energy consumption, and a 17% decrease in building equipment run-time.
It has also showcased a total absence of comfort-related customer complaints.
Brisbane Airport Corporation head of asset optimisation Derek Boo said: “We are committed to achieving our sustainability targets and experimenting and adopting new technologies which can assist in reducing energy use that ultimately contributes to carbon emission reductions – this is one of the ways we’ll meet our goals.
“Based on our successful trial with BrainBox AI, we have identified several other opportunities to scale the program and we are looking forward to seeing the results.”
The BrainBox AI engine is said to autonomously improve the building’s current HVAC system using deep learning, cloud-based computing, and its custom proprietary process.
Through the use of this technology, buildings can reduce their carbon footprint, lower their HVAC energy costs, and extend the lifespan of their HVAC equipment, claims the company.
Founded in 2017, BrainBox AI offers artificial intelligence-driven technology to make buildings smarter, greener and environment friendly.
BrainBox AI CEO Sam Ramadori said: “In a world first, Brisbane Airport Corporation is the pioneer among international airport operators in terms of using autonomous AI to reduce emissions at its facilities.
“We know that airports are significant users of energy, and we also know that across the globe, corporate users and the public alike want to see significant reductions in emissions at these large sites.”