Economic Model Predictive Control for Hot Water Based Heating Systems in Smart Buildings
by M. A. Ahmed Awadelrahman1, Yi Zong2, Hongwei Li3, Carsten Agert4
1Institute of Physics, University of Oldenburg, Oldenburg, Germany
2Centre for Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark, Roskilde, Denmark
3Section of Building Energy, Department of Civil Engineering, Technical University of Denmark, Lyngby, Denmark
4NEXT ENERGY, EWE Research Centre for Energy Technology at the University of Oldenburg, Oldenburg, Germany
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.
Keywords: Building Energy Management System, Demand Response, Economic Model
Predictive Control, Heat Pumps, Smart Buildings, Thermal Energy Storage
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