Thermodynamic modelling, performance analysis and dynamic simulation of a blast chiller

This thesis presents a comprehensive thermodynamic model of a commercial blast chiller based on the vapor compression refrigeration cycle. The model is developed in Python using CoolProp and RefProp libraries for accurate refrigerant property calculations. A particular focus is placed on the dynamic behavior of the system, with simulations carried out over a wide range of operating conditions to evaluate key performance indicators such as pressure ratio, isentropic and volumetric efficiencies, total heat transfer, and coefficient of performance (COP). Real compressor data were incorporated into the model through polynomial correlations for mass flow rate, power consumption, and efficiency as functions of the highly variable evaporation temperature. The evolution of the system's main thermodynamic states is analyzed and illustrated through thermodynamic diagrams, providing a clear view of the cycle’s transient behavior. Additionally, the temperature profiles along the heat exchangers were reconstructed, offering insight into the thermal interaction between refrigerant and air. Key variables such as mass flow rate, air outlet temperature, and overall heat transfer coefficient are visualized to highlight their dependence on the changing evaporation temperature and to support the understanding of the blast chiller’s dynamic response.