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Journal of Refrigeration, Air conditioning, Heating and ventilation Original Research

Dynamic Simulation of Load-Responsive Vapor Compression Refrigeration Systems

  1. Amit Shishodia Department of Mechanical Engineering, Noida International University

Abstract

Because of their dependable operation and effectiveness, vapor compression refrigeration systems, or vapor compression refrigeration (VCRS), have become popular in commercial, industrial, and residential settings. However, under different thermal loads, classic vapor compression refrigeration (VCR) systems may perform less well in that they are usually built for steady-state conditions and run at consistent speeds. In order to improve a load-responsive VCR system’s flexibility, energy efficiency, and response to changing cooling demands, this study focuses on the dynamical modeling of the system. In order to simulate the dynamics of the system in real time under various load situations, a detailed dynamic model of a single-stage compression vapor cycle was created in this work using MATLAB/Simulink. In addition to dynamic representations of refrigerant qualities, mass flow rates, and heat transfer characteristics, the model includes essential parts involving a thermostatic expansion valve, condenser, evaporator, and variable-speed compressor. In order to adjust compressor speed in response to real-time cooling load needs, a proportional integral derivative (PID) controller was implemented. According to simulation data, the capacity-responsive VCR system performs noticeably better than fixed-speed systems, particularly when there is a partial load. Under dynamic load profiles, the system produced up to 18% energy savings, decreased compressor cycling, and maintained a more consistent evaporator temperature. Furthermore, greater use of compression work and less irreversibility in heat exchange mechanisms led to increased second law efficiency, according to energy analysis. The results highlight how dynamic simulation may be a useful tool for improving component selection and control techniques in current refrigeration system designs. This research enables the creation of intelligent, demand-adaptive cooling systems for environmentally friendly power applications in addition to advancing energy-efficient Heating, Ventilation, Air Conditioning, and Refrigeration (HVACR) technology. Alternative refrigerants and hybrid system topologies will be explored and experimentally validated in future studies.

Keywords

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