FINITE TIME THERMODYNAMICS BASED ECOLOGICAL OPTIMIZATION OF IRREVERSIBLE STIRLING AND ERICSSON HEAT PUMPS USING GENETIC ALGORITHM

摘要

The present work shows the ecological optimization and parametric study of irreversible Stirling and Ericsson heat pump cycles where the external irreversibility is due to finite temperature difference between working fluid and external reservoirs while the internal irreversibilities are due to regenerative heat loss and other entropy generations within the cycle. The ecological function is optimized with respect to working fluid temperatures (T_h and T_c), effectiveness of the regenerator and the volume ratio. The main aim of the paper is to highlight the use of Genetic algorithm to optimize the cycles and to study the effect of different parameters.