Optimization of refrigeration cycle

Abstract

This thesis presents the development of optimization technology for the vapour compression cycle. The steady state mathematical models for heat transfer, mass flow rate, power consumption and other intermediary parameters associated with the vapour compression cycle for different cooling loads are formulated. These models are developed using manufacturers' catalogue and data from a simulated refrigeration cycle. Later, genetic algorithm is adopted to get steady state energy optimization of vapour compression cycle.