Reference : Influence of Thermal Energy Storage and Heat Pump Parametrization for Demand-Side-Man...
Scientific journals : Article
Engineering, computing & technology : Energy
Sustainable Development
http://hdl.handle.net/10993/44208
Influence of Thermal Energy Storage and Heat Pump Parametrization for Demand-Side-Management in a Nearly-Zero-Energy-Building using Model Predictive Control
English
[de] Einfluss der Dimensionierung von Wärmespeicher und Wärmepumpe auf Demand-Side-Management Konzepte in einem Nearly-Zero-Energy-Building unter Verwendung einer Model Predicitive Control
Bechtel, Steffen mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Rafii-Tabrizi, Sasan mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Scholzen, Frank mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Hadji-Minaglou, Jean-Régis mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Maas, Stefan mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
4-Aug-2020
Energy and Buildings
Elsevier
226
Yes (verified by ORBilu)
0378-7788
1872-6178
Amsterdam
The Netherlands
[en] Demand-Side-Management ; Heat-Pump ; Thermal Simulation
[en] The rollout of the supply dependent generators wind turbines and photovoltaics leads to a flexibility demand that can be adressed from the consumer side, via Demand-Side-Management, as well. In single family houses, the heat pump, in combination with thermal energy storage, can shift their energy comsumption according to price signals in order to reduce consumer costs. This paper analyses the impact of different heat storage sizes and heat pump powers on cost savings and shifting potential, focussing on the Luxembourgish context, when variable electricity prices based on the electricity market are applied. A model predictive controller determines the cost-optimal operating cycles of the heat pump. The building’s heat demand is predicted with the help of a neural network. The results of the parametric study show significant differences in energy efficiency and cost savings. Furthermore limitations of taking advantage of variable electicity prices due to the price structure are disclosed. The cost savings however do not give a sufficient incentive for the consumer to invest in optimizing the heating system for Demand-Side-Management purposes. By consequence, the potential and the efficiency of Demand-Side-Management are limited and further incentives are necessary.
INTERREG V.A.
Power-to-Heat for the Greater Region's Renewable Integration and Development (PTH4GR²ID)
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/44208
10.1016/j.enbuild.2020.110364

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