Conference paper
Potential Energy Flexibility for a Hot-Water Based Heating System in Smart Buildings Via Economic Model Predictive Control
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.
Language: | English |
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Publisher: | IEEE |
Year: | 2017 |
Pages: | 1-5 |
Proceedings: | 2017 International Symposium on Computer Science and Intelligent Controls |
ISBN: | 1538629410 , 1538629429 , 9781538629413 and 9781538629420 |
Types: | Conference paper |
DOI: | 10.1109/ISCSIC.2017.14 |
ORCIDs: | Zong, Yi |
Building Energy Management System Demand Response Economic Model Predictive Control Energy Flexibility Heat Pumps SDG 7 - Affordable and Clean Energy Smart Buildings Thermal Energy Storage
Buildings Economic Model Predictive Control strategy Electric potential Heat pumps Mathematical model Resistance heating Water heating active thermal energy storage building heating consumption building management systems buildings (structures) electricity consumption electricity price signals energy conservation energy consumption heat pump heat pumps heating energy consumption hot water tank potential energy flexibility power system economics predictive control pricing residential building smart buildings space heating thermal energy storage