Potential Energy Flexibility for a Hot-Water Based Heating System in Smart Buildings Via Economic Model Predictive Control

Research output: Research - peer-reviewArticle in proceedings – Annual report year: 2018

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This paper studies the potential of shifting the heating energy consumption in a residential building to low price periods based on varying electricity price signals suing Economic Model Predictive Control strategy. The investigated heating system consists of a heat pump incorporated with a hot water tank as active thermal energy storage, where two optimization problems are integrated together to optimize both the heat pump electricity consumption and the building heating consumption. A sensitivity analysis for the system flexibility is examined. The results revealed that the proposed controller can successfully achieve significant shifting potentials compared to a baseline case.
Original languageEnglish
Title of host publicationProceedings of 2017 International Symposium on Computer Science and Intelligent Controls
Number of pages5
PublisherIEEE
Publication date2017
Pages1-5
ISBN (Print)978-1-5386-2941-3
DOIs
StatePublished - 2017
Event2017 International Symposium on Computer Science and Intelligent Controls - Budapest University of Technology and Economics, Budapest, Hungary
Duration: 20 Oct 201722 Oct 2017

Conference

Conference2017 International Symposium on Computer Science and Intelligent Controls
LocationBudapest University of Technology and Economics
CountryHungary
CityBudapest
Period20/10/201722/10/2017
CitationsWeb of Science® Times Cited: 0

    Research areas

  • Building Energy Management System, Demand Response, Economic Model Predictive Control, Energy Flexibility, Heat Pumps, Smart Buildings, Thermal Energy Storage
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