In The News
Welcome to the Age of the AI-Optimized Building
Artificial intelligence is emerging as a powerful tool for reducing emissions in buildings, despite AI itself being criticized for its environmental impact. Companies like BrainBox AI are developing software that automates and optimizes building operations, particularly HVAC systems, leading to significant energy savings and reduced CO2 emissions. For example, a trial at Loyola University's Schreiber Center in Chicago showed that AI-driven optimization cut energy bills by 10% and CO2 emissions by 15% in an already high-performing building. This technology is becoming increasingly important as cities implement emissions reduction laws and investors demand greener real estate assets.
The concept of AI-optimized buildings is gaining traction across the industry. For instance, at 122 Fifth in Manhattan, owner Bromley Cos. has installed Nantum AI technology that uses sensors to automate energy usage and environmental systems based on real-time occupancy data. Other examples include 555 Greenwich in Manhattan, which uses AI to predict weather patterns and adjust its geothermal heating and cooling system accordingly, and Carr Properties' One Congress skyscraper in Boston, which has cut energy bills by more than 25% through machine learning and analytics. While challenges remain, such as the cost of implementation and the need for widespread adoption, many in the industry see AI as a crucial tool for achieving sustainability goals in the built environment.