In a recent announcement, Honeywell launched its Forge Energy Optimization, a cloud-based, closed-loop, machine learning solution designed to continuously study a building’s energy consumption patterns and automatically adjust to optimal energy saving settings without compromising occupant comfort levels. The company says the solution is focused on decreasing energy consumption and may deliver double-digit energy savings, decrease a building’s carbon footprint, and can be implemented without significant upfront capital expenses or changes to a building’s current operational processes.
During a pilot at Hamdan Bin Mohammed Smart University in Dubai, United Arab Emirates, Honeywell demonstrated an initial 10 percent energy savings.
Forge Energy Optimization was applied to the university’s existing building management system, which uses competitive technology, to demonstrate the platform’s open architecture and hardware-agnostic capabilities. The pilot reportedly uncovered local control issues with the chiller plant and fresh air handling unit that were not adjusting to set points.
“As a smart university, we look to deploy the latest technology across our campus and ensure our buildings are efficient. We were pleasantly surprised by the results we saw from Honeywell Forge and its ability to drive further energy savings beyond our achievable optimization with the techniques we have,” said Dr. Mansoor Al Awar, Chancellor, Hamdan Bin Mohammed Smart University. “Our further partnership with Honeywell will help to support the advancement of artificial intelligence (AI) modeling for building automation and provide our students with first-hand applications of how AI and machine learning (ML) will drive operational efficiencies in buildings. Our goal is to collaborate with leading organizations like Honeywell that support our vision of educating the innovators of tomorrow.”
“Buildings aren’t static steel and concrete – they’re dynamic ecosystems and their energy needs fluctuate based on ever-changing variables like weather and occupancy,” said David Trice, VP and GM, Honeywell Connected Buildings. “With Honeywell Forge Energy Optimization, we’re evolving building operations far beyond what would be possible even with a robust team of engineers and the rules they code in their building management system. By employing the latest self-learning algorithms coupled with autonomous control, we can help building portfolio owners fine-tune their energy expenditures to drive efficiencies and create more sustainable practices for our customers.”
Ken Briodagh is a storyteller, writer and editor with about two decades of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.Edited by
Ken Briodagh
