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Sign upJanuary 1, 2021
Mountain Development Corp.
Roseland
Mountain Development Corp, a New-Jersey real estate company, used BrainBox AI to analyze its office buildings’ HVAC system and find ways to achieve energy savings over 63,880 square footage. The solution mapped the entire HVAC system, then ingested the data from the existing building management system, normalized this data, learned from it, and added external data (i.e.weather predictions) to the consideration set. The optimal set of algorithms was then deployed to optimize each piece of HVAC equipment.
- Decreased electricity consumption of HVAC equipment by 37%, resulting in significant cost savings.
- Avoided 79 metric tons of CO2 emissions annually, contributing to the company’s sustainability goals.
Energy agencies around the globe have concluded that residential and commercial buildings on average represent 40% of the total energy consumed. Studies have shown that on average, HVAC represents 45% of a commercial building’s total annual energy consumption, and that typically 30% of that energy is in fact, wasted. BrainBox AI's solution is at the forefront of the green building revolution with its unique technology combining artificial intelligence and cloud computing to create the world’s first fully autonomous commercial HVAC solution. The overlays deep learning-driven algorithms on existing HVAC functionality to automate the modulation of each component, reducing a building’s total energy spend by up to 25% while improving occupant comfort by 60%. The solution creates a 20-40% decrease in carbon footprint. The solution leverages AI to predict building energy consumption at a very granular level and enables our autonomous HVAC system to operate the building pre-emptively versus the current reactive approach of existing HVAC control systems. This shift from reactive to pre-emptive HVAC system management is applied individually to each of the building’s distinct zones, allowing for a very granular control of the system
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