Receding-horizon supervisory control of green buildings

Truong X. Nghiem, George J. Pappas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

45 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781457700804
StatePublished - 2011
Externally publishedYes

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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