BrainBox AI is at the forefront of the green building revolution with its unique technology combining artificial intelligence and cloud computing to create the world’s most advanced autonomous decarbonization solution available commercial real estate sector.
BrainBox AI merges deep learning algorithms on existing HVAC functionality to automate the modulation of each component, reducing a building’s total energy costs by up to 25% and carbon footprint by 20-40% while improving occupant comfort by 60%. The solution leverages AI to predict building energy consumption at a granular level, enabling autonomous HVAC systems to operate buildings pre-emptively versus the current reactive approach.
Normal Software received a Lawrence Berkeley National Lab grant to generate controller code directly from simulated ASHRAE Guideline 36 sequences, a proposed solution to the long chain of translations most sequences undergo.
Learn how standardized HVAC sequences of operation, building automation systems (BAS), cooling tower optimization, and analytics help commercial real estate portfolios improve energy efficiency, reduce HVAC complaints, and achieve repeatable building performance at scale.
Learn how Texas Tech University built an in-house HVAC controls team to eliminate sequence drift, optimize building automation systems (BAS), reduce energy costs, and improve HVAC performance through recommissioning, controls programming, and fault detection.
Learn how UC Irvine uses operational commissioning, SkySpark, building automation systems (BAS), fault detection and diagnostics (FDD), and HVAC optimization to improve energy efficiency and building performance across a large campus.
Learn how RTX is using continuous commissioning, monitor-based commissioning (MBCx), and intelligent building controls to optimize HVAC performance, uncover energy savings opportunities, and scale energy management across a global portfolio of manufacturing facilities.
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