Title: Development and synchronisation of a physics-based model for heating, ventilation and air conditioning system integrated into a hybrid model

Authors: Antonio Gálvez; Dammika Seneviratne; Diego Galar

Addresses: TECNALIA, Basque Research and Technology Alliance (BRTA), Derio, Vizcaya, 48170, Spain; Division of Operation and Maintenance Engineering, Luleå University of Technology, Luleå, 97187, Sweden ' TECNALIA, Basque Research and Technology Alliance (BRTA), Derio, Vizcaya, 48170, Spain ' TECNALIA, Basque Research and Technology Alliance (BRTA), Derio, Vizcaya, 48170, Spain; Division of Operation and Maintenance Engineering, Luleå University of Technology, Luleå, 97187, Sweden

Abstract: This paper proposes a physics-based model which is part of a hybrid model (HyM). The physics-based model is developed for a heating, ventilation, and air conditioning (HVAC) system installed in a passenger train carriage. This model will be used to generate data for building a data-driven mode. Thus, the combination of these two models provides the hybrid model-based approach (HyMAs). The physics-based model of the HVAC system is divided into four principal parts: cooling subsystems, heating subsystems, ventilation subsystems, and vehicle thermal networking. First, the subsystems are modelled, considering the sensors embedded in the real system. Next, the model is synchronised with the real system to give better simulation results and validate the model. The cooling subsystem, heating subsystem and ventilation subsystem are validated with the acceptable sum square error (SSE) results. Second, the new virtual sensors are defined in the model, and their value to future research is suggested.

Keywords: physics-based modelling; hybrid modelling; digital twins; HVAC system; transportation engineering; signal validation; predictive maintenance; simulation; virtual sensor; fault detection.

DOI: 10.1504/IJHM.2021.118005

International Journal of Hydromechatronics, 2021 Vol.4 No.3, pp.230 - 258

Received: 16 Jun 2020
Accepted: 13 Jul 2020
Published online: 07 Oct 2021 *

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