Honeywell has launched a Cloud-based, machine learning solution that continuously studies a building's energy consumption patterns and automatically adjusts to optimal energy saving settings without compromising occupant comfort levels.
Honeywell Forge Energy Optimization, the first autonomous building solution focused on decreasing energy consumption, 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 (HBMSU) in Dubai, United Arab Emirates, the product demonstrated an initial 10% energy savings. HBMSU is the first accredited smart university in the UAE and is known for its technology and innovation programs.
Honeywell Forge Energy Optimization was applied to HBMSU's existing building management system, which uses competitor technology to demonstrate the platform's open architecture and hardware-agnostic capabilities. The pilot also 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," according to Dr. Mansoor Al Awar, Chancellor of Hamdan Bin Mohammed Smart University.
Honeywell Connected Buildings vice president, David Trice, said buildings aren’t static steel and concrete, they’re dynamic ecosystems with energy needs.