Optimisation of Refrigeration System with Two-Stage and Intercooler Using Fuzzy Logic and Genetic Algorithm

Year 2017, Volume: 9 Issue: 1, 42 - 54, 07.04.2017

Bayram Kılıç

https://doi.org/10.24107/ijeas.290336

Cited By: 1

Abstract

Two-stage compression
operation prevents excessive compressor outlet pressure and temperature and
this operation provides more efficient working condition in low-temperature
refrigeration applications. Vapor compression refrigeration system with
two-stage and intercooler is very good solution for low-temperature
refrigeration applications. In this study, refrigeration system with two-stage
and intercooler were optimized using fuzzy logic and genetic algorithm. The necessary
thermodynamic characteristics for optimization were estimated with Fuzzy Logic
and liquid
phase enthalpy, vapour phase enthalpy, liquid phase entropy, vapour phase
entropy values were compared with
actual values. As a result, optimum working condition of system was estimated
by the Genetic Algorithm as -6.0449 ^oC for evaporator temperature,
25.0115 ^oC for condenser temperature and 5.9666 for COP. Morever,
irreversibility values of the refrigeration system are calculated.

Keywords

Optimisation, Refrigeration System, COP, Genetic Algorithm, Fuzzy Logic

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