TY - JOUR
T1 - Development and synchronisation of a physics-based model for heating, ventilation and air conditioning system integrated into a hybrid model
AU - Gálvez, Antonio
AU - Seneviratne, Dammika
AU - Galar, Diego
N1 - Publisher Copyright:
Copyright © 2021 Inderscience Enterprises Ltd.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - digital twins
KW - fault detection
KW - HVAC system
KW - hybrid modelling
KW - physics-based modelling
KW - predictive maintenance
KW - signal validation
KW - simulation
KW - transportation engineering
KW - virtual sensor
UR - http://www.scopus.com/inward/record.url?scp=85108869435&partnerID=8YFLogxK
U2 - 10.1504/ijhm.2021.118005
DO - 10.1504/ijhm.2021.118005
M3 - Article
AN - SCOPUS:85108869435
SN - 2515-0464
VL - 4
SP - 230
EP - 258
JO - International Journal of Hydromechatronics
JF - International Journal of Hydromechatronics
IS - 3
ER -