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Energy and Exergy Analysis of Vapor Compression Refrigeration System with Low-GWP Refrigerants

Author

Listed:
  • Tauseef Aized

    (Department of Mechanical Engineering, University of Engineering and Technology Lahore, Lahore 54000, Pakistan)

  • Muhammad Rashid

    (Department of Mechanical Engineering, University of Engineering and Technology Lahore, Lahore 54000, Pakistan)

  • Fahid Riaz

    (Mechanical Engineering Department, Abu Dhabi University, Abu Dhabi P.O. Box 59911, United Arab Emirates)

  • Ameer Hamza

    (Department of Mechanical Engineering, University of Engineering and Technology Lahore, Lahore 54000, Pakistan)

  • Hafiz Zahid Nabi

    (Department of Mechanical Engineering, University of Engineering and Technology Lahore, Lahore 54000, Pakistan)

  • Muhammad Sultan

    (Department of Agricultural Engineering, Bahauddin Zakariya University, Multan 60800, Pakistan)

  • Waqar Muhammad Ashraf

    (Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK)

  • Jaroslaw Krzywanski

    (Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, 13/15 Armii Krajowej Av., 42-200 Czestochowa, Poland)

Abstract

In this paper, a first- and second-law analysis of vapor compression refrigeration is presented to estimate and propose the replacement of R134 with working fluids having less global warming potential (GWP) and less exergy destruction and irreversibilities. Six different refrigerants were studied, namely, R717, R1234yf, R290, R134a, R600a, and R152a. A thermodynamic model was designed on Engineering Equation Solver (EES) software, and performance parameters were calculated. The model was deployed on all six refrigerants, while the used output parameters of performance were cooling capacity, coefficient of performance, discharge temperature, total exergy destruction, relative exergy destruction rates of different components, second-law efficiency, and efficiency defect of each component. The performance parameters were estimated at different speeds of the compressor (1000, 2000, and 3000 rpm) and fixed condenser and evaporator temperatures of 50 °C and 5 °C, respectively. The isentropic efficiency of the compressor was the same as the volumetric efficiency, and it was taken as 75%, 65%, and 55% at the compressor speeds of 1000 rpm, 2000 rpm, and 3000 rpm, respectively. A comparison of the performance parameters was presented by importing the results in MATLAB. It was found that the compressor had the highest exergy destruction compared to the other components. It was found that R152 was the refrigerant with zero ozone depletion potential (ODP) and a GWP value of 140 with less exergy destruction and irreversibilities. Moreover, it was easy to use R152a with good thermodynamic characteristics. It is estimated that R152a is a suitable replacement for R134a, as it can be used with few modifications.

Suggested Citation

  • Tauseef Aized & Muhammad Rashid & Fahid Riaz & Ameer Hamza & Hafiz Zahid Nabi & Muhammad Sultan & Waqar Muhammad Ashraf & Jaroslaw Krzywanski, 2022. "Energy and Exergy Analysis of Vapor Compression Refrigeration System with Low-GWP Refrigerants," Energies, MDPI, vol. 15(19), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7246-:d:932003
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    References listed on IDEAS

    as
    1. Fahid Riaz & Kah Hoe Tan & Muhammad Farooq & Muhammad Imran & Poh Seng Lee, 2020. "Energy Analysis of a Novel Ejector-Compressor Cooling Cycle Driven by Electricity and Heat (Waste Heat or Solar Energy)," Sustainability, MDPI, vol. 12(19), pages 1-21, October.
    2. Anna Kulakowska & Anna Pajdak & Jaroslaw Krzywanski & Karolina Grabowska & Anna Zylka & Marcin Sosnowski & Marta Wesolowska & Karol Sztekler & Wojciech Nowak, 2020. "Effect of Metal and Carbon Nanotube Additives on the Thermal Diffusivity of a Silica Gel-Based Adsorption Bed," Energies, MDPI, vol. 13(6), pages 1-15, March.
    3. Fahid Riaz & Fu Zhi Yam & Muhammad Abdul Qyyum & Muhammad Wakil Shahzad & Muhammad Farooq & Poh Seng Lee & Moonyong Lee, 2021. "Direct Analytical Modeling for Optimal, On-Design Performance of Ejector for Simulating Heat-Driven Systems," Energies, MDPI, vol. 14(10), pages 1-21, May.
    4. Fahid Riaz & Muhammad Abdul Qyyum & Awais Bokhari & Jiří Jaromír Klemeš & Muhammad Usman & Muhammad Asim & Muhammad Rizwan Awan & Muhammad Imran & Moonyong Lee, 2021. "Design and Energy Analysis of a Solar Desiccant Evaporative Cooling System with Built-In Daily Energy Storage," Energies, MDPI, vol. 14(9), pages 1-17, April.
    5. Dorian Skrobek & Jaroslaw Krzywanski & Marcin Sosnowski & Anna Kulakowska & Anna Zylka & Karolina Grabowska & Katarzyna Ciesielska & Wojciech Nowak, 2020. "Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)," Energies, MDPI, vol. 13(24), pages 1-16, December.
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    Cited by:

    1. Zhanfeng Huang & Tingxun Li, 2023. "Experimental Investigation of Gravity Effect on a Vapor Compression Heat Pump System," Energies, MDPI, vol. 16(11), pages 1-22, May.

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