Experimental Study of Economic Model Predictive Control in Building Energy Systems

Jingran MA, S. Joe QIN, Timothy SALSBURY

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Referred Conference Paperpeer-review

15 Citations (Scopus)

Abstract

This paper presents results from testing an economic model predictive control (EMPC) strategy in an office building located in Milwaukee, Wisconsin, USA. The control strategy includes an economic objective function that is designed to account for the combination of energy and demand costs under a time-of-use (TOU) rate structure. A min-max optimization problem is formulated and solved as a linear program. The tests were carried out with the controller sited in a remote location and with the loop being closed over the Internet. The results show that the EMPC strategy was successful at reducing energy costs compared to the baseline case for the considered building. © 2013 AACC American Automatic Control Council.
Original languageEnglish
Title of host publication2013 American Control Conference (ACC)
PublisherInstitute of Electrical and Electronics Engineers
Pages3753-3758
Number of pages6
ISBN (Electronic)9781479901784
ISBN (Print)9781479901777
DOIs
Publication statusPublished - Jun 2013
Externally publishedYes
Event2013 1st American Control Conference, ACC 2013 - Washington, United States
Duration: 17 Jun 201319 Jun 2013

Publication series

NameProceedings of the American Control Conference
PublisherInstitute of Electrical and Electronics Engineers
ISSN (Print)0743-1619
ISSN (Electronic)2378-5861

Conference

Conference2013 1st American Control Conference, ACC 2013
Country/TerritoryUnited States
CityWashington
Period17/06/1319/06/13

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