Title :
Receding-horizon supervisory control of green buildings
Author :
Nghiem, T.X. ; Pappas, G.J.
Author_Institution :
Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA
fDate :
June 29 2011-July 1 2011
Abstract :
Buildings account for about 40% of total energy use in the United States, according to the U.S. Department of Energy. Consequently, there has been a growing interest in green buildings, i.e., energy-efficient buildings, particularly control strategies for their HVAC systems. In this paper, we present a receding-horizon supervisory control strategy for optimizing total electric cost, which is the sum of an energy usage cost and an infinity-norm-like demand charge. The controller utilizes an optimizer to minimize an objective function whose evaluation involves simulation of the building energy system. This paper also presents a Matlab toolbox we developed for co-simulation and simulation-based optimization with the building energy simulation software EnergyPlus. The toolbox was applied to a benchmark example showing the potential of the proposed controller.
Keywords :
HVAC; SCADA systems; control engineering computing; mathematics computing; HVAC systems; Matlab toolbox; building energy simulation software EnergyPlus; energy-efficient buildings; green buildings; heating ventilation and air conditioning system; inflnity-norm-like demand charge; receding-horizon supervisory control strategy; simulation-based optimization; total electric cost optimization; Buildings; Computational modeling; Cooling; Copper; Mathematical model; Optimization; Supervisory control;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5990995