Use of Model Predictive Control to Increase the Energy Efficiency of Domestic Solar Thermal Heating System

2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2021): Conference Proceedings 2021
Miķelis Dzikēvičs, Māris Tērauds, Dzintars Jaunzems

Solar thermal heating system relies on efficient use of available solar radiation. Traditional systems use temperature sensors to directly measure actual parameters and controls are used that react accordingly. In this article use of model predictive control is analyzed to use the temperature of the water leaving the top of the tank (load temperature), which increases with an increase in solar radiation, as a control signal for lowering setpoint for auxiliary heater placed inside the storage tank. Results show that the use of prediction horizon 24–72 h increase solar fraction and reduce necessary auxiliary energy of the system. Monthly analysis shows that a longer prediction horizon performs better in most cases.

Atslēgas vārdi
Temperature sensors , Temperature measurement , Analytical models , Predictive models , Prediction algorithms , Mathematical models , Data models
DOI
10.1109/RTUCON53541.2021.9711709
Hipersaite
https://ieeexplore-ieee-org.resursi.rtu.lv/document/9711709/

Dzikēvičs, M., Tērauds, M., Jaunzems, D. Use of Model Predictive Control to Increase the Energy Efficiency of Domestic Solar Thermal Heating System. No: 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2021): Conference Proceedings, Latvija, Rīga, 15.-17. novembris, 2021. Piscataway: IEEE, 2021, 161.-165.lpp. ISBN 978-1-6654-3803-2. e-ISBN 978-1-6654-3804-9. Pieejams: doi:10.1109/RTUCON53541.2021.9711709

Publikācijas valoda
English (en)