Autonomous AI HVAC optimisation
Problem Addressed
Real estate accounts for over 40% of annual global energy usage and 40% of this energy usage comes from a building’s HVAC system (source). Considering that 80% of the current building stock will still exist by 2050, we cannot just rely on the development of new, efficient and sustainable buildings. We must make that 80% more sustainable, which starts with the way they are operating. After all, the cheapest and cleanest energy a building will ever use is the energy it doesn’t use in the first place. The opportunity to turn these inefficient systems into efficient ones to reduce energy consumption and fight climate change was the inspiration behind the innovation.
Case Study
Westcliff, a Canadian private real estate development and investment company, has a portfolio of more than 10 million square feet of leasable space in Canada and the United States. For this asset, Granby Galleries located in Quebec, the primary project objective was to achieve energy savings while also improving the efficiency of the building’s individual HVAC equipment.
This resulted in electricity savings on HVAC equipment of 205,214 kWh (21%) after a year of operation with BrainBox AI. Total monetary savings for the year amounted to 19,249 CAD, significantly reducing the shopping centre’s operating expenses and improving its net operating income.
Aligned with the clients primary goals, BrainBox AI’s technology helped improve operational efficiency by optimizing the usage of certain HVAC equipment autonomously, the result of which was an average reduction in equipment runtime of 55%. BrainBox AI was able to achieve these savings and reduction in equipment runtime while avoiding any fluctuations in average zone temperature (average temperature of 69 °F with BrainBox AI, versus 68.9°F without BrainBox AI).
Facts and Figures
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