Optimization of Stirling Heat Pump by using Genetic Algorithm

In this research, invariable performance analysis of irreversible Stirling heat pump cycle that includes internal as well as external irreversibility. The reservoirs are considered to be of finite heat capacities. These two irreversibilities are considered simultaneously in which external irreversibility is due to the finite temperature difference between external fluid and working fluids through the heat sink and heat source and internal irreversibility is due to entropy generation and regenerative heat loss. In the present study, the input power, heating load and coefficient of performance have been evaluated using finite time thermodynamics and the above three objective functions are simultaneously optimised using multi-objective genetic algorithm (MATLAB 2015a), considering the effect of various design variables. The design variables includes for optimisation are effectiveness of heat exchanger at cold side (εC), effectiveness of heat exchanger at hot side (εH), rate of heat capacitance in heat source/sink (C) , the temperature ratio (x) and cold side temperature (TC).