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Authors: Mojtaba Sharifzadeh 1 ; Hani Beirami 1 ; Federico Bonafini 2 ; Matteo Campidelli 2 ; Roberto Cavada 1 ; Alessandro Cimatti 1 and Stefano Tonetta 1

Affiliations: 1 Fondazione Bruno Kessler, 38123, Trento, Italy ; 2 Innova Engineering S.r.l. 38079, Tione di Trento, Italy

Keyword(s): Event-Triggered MPC, HVAC, Modeling, System Identification, Switching Control.

Abstract: Heating, ventilation, and air conditioning (HVAC) systems have great potential for energy savings and integration with green energy sources. Advanced control of these systems could play a key role in optimizing consumption while enhancing efficiency and performance. In this paper, a new model-based methodology is proposed for real-time control of the compressor in HVAC systems, based on switching event-triggered model predictive control. The approach manages the switch among different operational modes and provides the possibility to set different constraints to be optimized, enabling a multivariable scheme. It also applies the latest model-based design standards derived from the AUTOSAR framework to adapt them for an HVAC platform that offers substantial technical value, while also preserving the model-based design structure for improved lifecycle management. The models used for the controller in each modality are developed through the system identification standards and validated u sing data acquired from the air-water heat pumps in the test field. The effectiveness and performance of the control approach are also demonstrated through Model-in-the-Loop (MIL) testing. (More)

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Paper citation in several formats:
Sharifzadeh, M., Beirami, H., Bonafini, F., Campidelli, M., Cavada, R., Cimatti, A. and Tonetta, S. (2024). A Switching Event-Triggered Model Predictive Control for HVAC Systems. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7; ISSN 2184-2809, SciTePress, pages 37-45. DOI: 10.5220/0012912400003822

@conference{icinco24,
author={Mojtaba Sharifzadeh and Hani Beirami and Federico Bonafini and Matteo Campidelli and Roberto Cavada and Alessandro Cimatti and Stefano Tonetta},
title={A Switching Event-Triggered Model Predictive Control for HVAC Systems},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={37-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012912400003822},
isbn={978-989-758-717-7},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A Switching Event-Triggered Model Predictive Control for HVAC Systems
SN - 978-989-758-717-7
IS - 2184-2809
AU - Sharifzadeh, M.
AU - Beirami, H.
AU - Bonafini, F.
AU - Campidelli, M.
AU - Cavada, R.
AU - Cimatti, A.
AU - Tonetta, S.
PY - 2024
SP - 37
EP - 45
DO - 10.5220/0012912400003822
PB - SciTePress