A Distributed Intelligent Automated Demand Response Building Management System [report]

David Auslander, David Culler, Paul Wright, Yan Lu, Mary Piette
2013 unpublished
Most of the reduction in peak demand came from the HVAC system by increasing supply air and zone temperatures, and reducing ventilation rates. Other reduction involved dimming and turning off lights. The web interface for the distributed load controller or gateway allowed the prioritization of curtailable appliances (such as lamps, laptops, fans, heaters, printers) and visualization of energy consumption. We found challenges in achieving this goal in the office portion of the building, given an
more » ... overcooled building not fully commissioned, grossly oversized chillers, continually increasing demand, and difficulties isolating the office portion of the building from the nanofabrication laboratory 2 . Nonetheless, we reduced peak electricity by 14--24% and cooling by 25--78 tons using the absorption chiller, the deeper reduction for hotter weather conditions. We estimate that had the centrifugal chiller been used on the hot test day, we would have achieved a 30% reduction from peak electrical load. We also applied many of the demand response strategies (such as reducing minimum ventilation rates and expanding the zone temperature range) towards daily energy efficient strategies for overall energy savings; we estimate that this savings would be $44k annually were it not confounded by increased load in other areas.
doi:10.2172/1172982 fatcat:eqkrbhhqxzadjfhunqpfkywopm