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Conference paper

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

In Proceedings of 2017 International Symposium on Computer Science and Intelligent Controls — 2017, pp. 1-5
From

University of Oldenburg1

Department of Electrical Engineering, Technical University of Denmark2

Center for Electric Power and Energy, Centers, Technical University of Denmark3

Østfold University College4

University of Zaragoza5

Sichuan University6

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
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

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