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This document discusses thermoeconomic optimization of subcooled and superheated vapor compression refrigeration cycles. It applies an exergy-based thermoeconomic optimization approach to determine the optimum heat exchanger areas and subcooling/superheating temperatures. Artificial neural networks are used to model the thermodynamic properties of refrigerants, as existing algorithms are complex. Calculations are performed for refrigerants R22, R134a, and R407c under various operating conditions to minimize

Author

Elba Barbosa

Language

EN