Conference Paper

Proceedings of Building Simulation 2019: 16th Conference of IBPSA

     

Model predictive control applied to a heating system with PV panels and thermal energy storage

Joan Tarragona 1,2, Cèsar Fernández 1, Luisa F. Cabeza 1, Alvaro de Gracia 1,2
1 GREiA Research Group, INSPIRES Research Centre, University of Lleida, Pere de Cabrera s/n, 25001 Lleida, Spain
2 CIRIAF - Interuniversity Research Centre, University of Perugia, Via G. Duranti 67, 06125 Perugia, Italy

DOI: https://doi.org/10.26868/25222708.2019.210319
Abstract: Nowadays, a considerable amount of energy is consumed by the building sector, especially due to space heating purposes. The overall cost of this energy demand can be reduced with the use of renewable energy sources. However, the main challenge to overcome is the mismatch between the power generation from renewables and the users demand. To tackle this issue, the main objective of the present study is to optimize the performance of a single-family house heating system based on an air-to-water heat pump, with thermal energy storage (TES) and PV panels, controlled through a model predictive control (MPC) strategy to minimize the final energy cost. Results obtained from several simulated cases point out that using this system, cost savings about 50% might be achieved. The analysis the impact of the TES system and PV panels in the heating operation together with a study of different working horizons and MPC settings are the novelties of this study.
Keywords: Model Predictive Control, Space heating and cooling, buildings, simulation
Pages: 2836 - 2843
Paper:

BS2019_210319