Title :
EnRoute: An energy router for energy-efficient buildings
Author :
Behl, Madhur ; Aneja, Mansimar ; Jain, Harsh ; Mangharam, Rahul
Author_Institution :
Dept. Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA
Abstract :
The US Department of Energy estimates that 73% of electricity usage is consumed by buildings. The Heating, Ventilation and Air Conditioning (HVAC) systems account for almost 50% of the total energy budget. Demand-based pricing for commercial buildings makes it necessary for them to reduce power consumption during peak hours, when electricity is priced at a higher rate. Peaks in electricity demand occur when multiple systems are simultaneously consuming electricity. In this paper, we look at the problem of energy load management for commercial buildings and propose En-Route, a wireless Energy Router platform for control and scheduling of energy delivery to minimize peak electricity consumed by buildings. We have built a scaled model of a building, which generates HVAC dynamics that match an actual building. The Energy Router monitors the temperature, humidity and power consumption in different zones of the building in real-time. It then runs an “energy aware” algorithm that schedules HVAC systems based on the operating conditions of each zone to minimize the peak power consumption of the building.
Keywords :
HVAC; building management systems; humidity measurement; load management; power consumption; power control; power measurement; scheduling; temperature measurement; EnRoute; HVAC dynamics; HVAC systems; US Department of Energy; commercial buildings; demand-based pricing; electricity demand; electricity usage; energy aware algorithm; energy delivery control; energy delivery scheduling; energy load management; energy-efficient buildings; heating-ventilation-air conditioning systems; humidity monitoring; peak electricity minimisation; power consumption monitoring; power consumption reduction; scaled model; temperature monitoring; wireless energy router platform; Buildings; Electricity; Heating; Humidity; Power demand; Real time systems; Temperature sensors; Control and Scheduling; Demand Control; Energy Efficient Buildings; Testbed;
Conference_Titel :
Information Processing in Sensor Networks (IPSN), 2011 10th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-61284-854-9
Electronic_ISBN :
978-1-4503-0512-9