A Model Predictive Control strategy for heatpump based indoor temperature control is proposed in this paper. The controller has been included in an Advanced Process Control system that also contains a block that aids to enhance flexibility on control specifications. A linear model of the relationship between heat pump power/outdoor temperature and the considered rooms' temperatures has been exploited for the developed process simulator and as internal model of the developed model-based controller based on Model Predictive Control strategy. Different flexibility features have been ensured in the design of the control system; bad conditions are detected and users' defined specifications are handled by the control system. Tailored simulations based on significant scenarios show the reliability of the proposed approach in guaranteeing a satisfactory performance on the assigned process variables constraints and, at the same time, an optimized management of the heat pump power.

Flexibility Enhancement in Heat Pump-based Indoor Temperature MPC / Pepe, C.; Ali, M. F.; Zanoli, S. M.. - (2024). ( 26th International Multi Topic Conference, INMIC 2024 Karachi, Pakistan 30-31 December 2024) [10.1109/INMIC64792.2024.11004345].

Flexibility Enhancement in Heat Pump-based Indoor Temperature MPC

Pepe C.;Ali M. F.;Zanoli S. M.
2024-01-01

Abstract

A Model Predictive Control strategy for heatpump based indoor temperature control is proposed in this paper. The controller has been included in an Advanced Process Control system that also contains a block that aids to enhance flexibility on control specifications. A linear model of the relationship between heat pump power/outdoor temperature and the considered rooms' temperatures has been exploited for the developed process simulator and as internal model of the developed model-based controller based on Model Predictive Control strategy. Different flexibility features have been ensured in the design of the control system; bad conditions are detected and users' defined specifications are handled by the control system. Tailored simulations based on significant scenarios show the reliability of the proposed approach in guaranteeing a satisfactory performance on the assigned process variables constraints and, at the same time, an optimized management of the heat pump power.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/346212
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