Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Configurations of model predictive control to exploit energy flexibility in building thermal loads
Trabajo presentado en la IEEE Conference on Decision and Control (CDC), celebrada en Miami Beach (FL, USA), del 17 al 19 de diciembre de 2018 ; A model predictive control (MPC) framework is developed in the present study, with the final objective to improve the energy flexibility of building thermal loads through demand-side management. Three different configurations are tested and tuned, with the following objective functions: minimizing the delivered energy to the building, the electrical energy used by the HVAC system (heat pump) or the cost of this electricity use. To validate these MPC configurations, a Matlab-Trnsys co-simulator is also created, in order to run the MPC on a virtual plant composed of a detailed building model. The MPC strategy manages to run effectively on the chosen study case (a residential building with heat pump in Spain), and the differences between configurations are discussed. ; This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 675318 (INCITE). Part of this work stems from the activities carried out in the framework of the IEA-EBC Annex 67 (International Energy Agency – Energy in Buildings and Communities program) about Energy-Flexible Buildings. ; Peer reviewed
Configurations of model predictive control to exploit energy flexibility in building thermal loads
Trabajo presentado en la IEEE Conference on Decision and Control (CDC), celebrada en Miami Beach (FL, USA), del 17 al 19 de diciembre de 2018 ; A model predictive control (MPC) framework is developed in the present study, with the final objective to improve the energy flexibility of building thermal loads through demand-side management. Three different configurations are tested and tuned, with the following objective functions: minimizing the delivered energy to the building, the electrical energy used by the HVAC system (heat pump) or the cost of this electricity use. To validate these MPC configurations, a Matlab-Trnsys co-simulator is also created, in order to run the MPC on a virtual plant composed of a detailed building model. The MPC strategy manages to run effectively on the chosen study case (a residential building with heat pump in Spain), and the differences between configurations are discussed. ; This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 675318 (INCITE). Part of this work stems from the activities carried out in the framework of the IEA-EBC Annex 67 (International Energy Agency – Energy in Buildings and Communities program) about Energy-Flexible Buildings. ; Peer reviewed
Configurations of model predictive control to exploit energy flexibility in building thermal loads
Péan, Thibault (Autor:in) / Salom, Jaume (Autor:in) / Costa Castelló, Ramon (Autor:in) / European Commission
01.01.2018
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC:
690
Configurations of model predictive control to exploit energy flexibility in building thermal loads
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