Abstract
This work focuses on theoretical investigation of the performance of a multistage vapor-compression refrigeration system using energy, exergy and economic analysis. The system was modeled using Engineering Equation Solver (EES) software and the model was validated against published data with maximum error of 1.14%. System optimization was carried out using Conjugate Directions Method. Optimization objective function was maximizing the coefficient of performance (COP) of the multistage vapor-compression refrigeration system by varying four optimization variables. Those variables are sub-cooling, de-superheating parameters, and evaporator and condenser temperatures of the system. Eight refrigerants were used in the investigation. They are: R717, R22, R134a, R1234yf, R1234ze(E), R410A, R404A, and R407C. Results show that COP increases with increasing the sub-cooling parameter. The maximum COP of 6.17 was achieved with ammonia while minimum COP of 4.95 was achieved with R407C. The optimization results give also that, R717 is a best option compared with all refrigerants, while R407C is not recommended to use.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
