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Energy-exergy-economic-environmental (4E) analysis and multi-objective optimization of a cascade refrigeration system

Parth Prajapati, Vivek Patel, Bansi D. Raja, Hussam Jouhara

2024Thermal Science and Engineering Progress11 citationsDOIOpen Access PDF

Abstract

• 4E analysis of cascade refrigeration system using environment-friendly refrigerants. • HTS optimization algorithm and TOPSIS criteria are used to select the optimal solution. • CRS with R41-R600a performs better than R170-R600a with higher exergy efficiency at the same cost. • Effect of evaporation & condensation temperature and the LTC condenser temperature is substantial. The present work focusses on 4E analysis of a 50 kW cooling capacity cascade refrigeration cycle covering the aspects of energy, exergy, economic and environment analysis. The numerical investigation and the multi-objective optimization is carried out for the system using the refrigerant pair R170-R600a and R41-R600a. The refrigerant pair is selected based on the environmental implications in terms of GWP and ODP. Multi-objective optimization of the objective functions is carried out using a heat transfer search optimization algorithm to evaluate the optimal performance of the system. The effect of evaporator temperature, condenser temperature, LTC condenser temperature and LTC condenser temperature difference on the exergy efficiency and total cost of the system is studied. A set of multiple optimal solutions is presented using the Pareto optimal curve and TOPSIS criteria is employed to select the optimal operating condition. Compared to the refrigerant pair R170-R600a, the system with R41-R600a operates at better exergy efficiency and lower total cost. At the TOPSIS selected optimal condition, exergy efficiency and the total cost of the CRS is 63.5 % and 65,228 $/year for the refrigerant pair R41-R600a and 62.6 % and 67,690 $/year for R170-R600a, respectively. The distribution of variables shows that the effect of the evaporation temperature, condensation temperature and the LTC condenser temperature is profound in obtaining the optimal solution.

Topics & Concepts

ExergyCascadeRefrigerationEnvironmental scienceEnergy cascadeProcess engineeringComputer scienceEngineeringMechanical engineeringChemical engineeringThermodynamic and Exergetic Analyses of Power and Cooling SystemsRefrigeration and Air Conditioning TechnologiesHeat Transfer and Optimization