MULTI-OBJECTIVE OPTIMIZATION OF A R744/R134A CASCADE REFRIGERATION SYSTEM: EXERGETIC, ECONOMIC, ENVIRONMENTAL, AND SENSITIVE ANALYSIS (3ES)

Year 2019, Volume: 5 Issue: 4, 237 - 250, 24.06.2019

Mohammad Mehdi Keshtkar

https://doi.org/10.18186/thermal.581750

Cited By: 9

Abstract

This work presents the
optimization of a two stage-cascade refrigeration system (TS-CRS), based on
exergetic, economic, environmental, and sensitive analysis (3ES). R134a and
R744 are considered as the refrigerants of high and low temperature circuits,
respectively. Two single-optimization strategies including exergetic and
economic optimizations and a multi-objective optimization are applied on the
problem. In the first step, a comprehensive performance evaluation of different
effective parameters, based on the genetic algorithm, used to indicate the
optimum operative conditions in single objective strategies. In the next step,
a multi-objective optimization is performed with considering a decision-making
strategy based on the Pareto frontier using TOPSIS method. The higher exergetic
efficiency and lower cost found in the exergetic and economic
single-optimization, respectively. The multi-objective optimization results
demonstrate that, the total system cost and the exergetic efficiency increase
28.6% and 99.5%, respectively, compared to the base design, and 46.6% higher
energy can be saved in the compressors.

Keywords

Cascade Refrigeration, Thermo-economic Optimization, Exergetic, Economic, Environmental, Sensitive Analysis

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