Flexibility Enhancement in Heat Pump-based Indoor Temperature MPC

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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Published
2024-12-30
DOI
https://doi.org/10.1109/inmic64792.2024.11004345
Primary Topic
Silicon Carbide Semiconductor Technologies
Type
article
Field-Weighted Citation Impact
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article

Flexibility Enhancement in Heat Pump-based Indoor Temperature MPC

Silvia Maria Zanoli, Crescenzo Pepe, Mir Farooq Ali
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Silicon Carbide Semiconductor Technologies
article

Flexibility Enhancement in Heat Pump-based Indoor Temperature MPC

Silvia Maria Zanoli, Crescenzo Pepe, Mir Farooq Ali
article en

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.

Marche Polytechnic University (IT)
Università Politecnica delle Marche
Affordable and clean energy
Openalex Percentile: Top 72%
Silicon Carbide Semiconductor Technologies
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