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Journal article

Economic Model Predictive Control for Hot Water Based Heating Systems in Smart Buildings

By Awadelrahman, M. A. Ahmed1; Zong, Yi2,3,4; Li, Hongwei5; Agert, Carsten1

From

University of Oldenburg1

Department of Electrical Engineering, Technical University of Denmark2

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

Distributed Energy Resources, Center for Electric Power and Energy, Centers, Technical University of Denmark4

Department of Civil Engineering, Technical University of Denmark5

This paper presents a study to optimize the heating energy costs in a residential building with varying electricity price signals based on an Economic Model Predictive Controller (EMPC). The investigated heating system consists of an air source heat pump (ASHP) incorporated with a hot water tank as active Thermal Energy Storage (TES), where two optimization problems are integrated together to optimize both the ASHP electricity consumption and the building heating consumption utilizing a heat dynamic model of the building.

The results show that the proposed EMPC can save the energy cost by load shifting compared with some reference cases.

Language: English
Year: 2017
Pages: 112-119
ISSN: 19473818 and 1949243x
Types: Journal article
DOI: 10.4236/epe.2017.94B014
ORCIDs: Zong, Yi
Keywords

Building Energy Management System Demand Response Economic Model Predictive Control Heat Pumps SDG 7 - Affordable and Clean Energy Smart Buildings Thermal Energy Storage

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