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Prediction of the energy consumption of household refrigerators and freezers via steady-state simulation

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  • Hermes, Christian J.L.
  • Melo, Cláudio
  • Knabben, Fernando T.
  • Gonçalves, Joaquim M.

Abstract

A simplified model to assess the energy performance of vapor compression [`]on-off' controlled refrigerators is presented herein. The model consists of first-principles algebraic equations adjusted with experimental information obtained from the refrigeration system under study. The experimental work consisted of controlling and measuring the system and component operating conditions in order to gather key information for the development and validation of the model. The methodology showed similar accuracy to that using more sophisticated dynamic simulation codes, but with lower computational costs. When compared to experimental data, the model predicted AHAM energy consumption tests within a ±5% deviation band. A sensitivity analysis considering the number of tube rows in the condenser coil, the number of fins in the evaporator coil and the compressor stroke is also reported. The refrigeration system under study was a top-mount [`]Combi' 600-l refrigerator, [`]on-off' controlled by the temperature of the fresh-food compartment.

Suggested Citation

  • Hermes, Christian J.L. & Melo, Cláudio & Knabben, Fernando T. & Gonçalves, Joaquim M., 2009. "Prediction of the energy consumption of household refrigerators and freezers via steady-state simulation," Applied Energy, Elsevier, vol. 86(7-8), pages 1311-1319, July.
    • Handle: RePEc:eee:appene:v:86:y:2009:i:7-8:p:1311-1319
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    Citations

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    Cited by:

    1. Hueppe, Christian & Geppert, Jasmin & Moenninghoff-Juessen, Julia & Wolff, Lena & Stamminger, Rainer & Paul, Andreas & Elsner, Andreas & Vrabec, Jadran & Wagner, Hendrik & Hoelscher, Heike & Becker, W, 2021. "Investigating the real life energy consumption of refrigeration appliances in Germany: Are present policies sufficient?," Energy Policy, Elsevier, vol. 155(C).
    2. Mastrullo, R. & Mauro, A.W. & Menna, L. & Palma, A. & Vanoli, G.P., 2014. "Transient model of a vertical freezer with door openings and defrost effects," Applied Energy, Elsevier, vol. 121(C), pages 38-50.
    3. Chen, Jiayu & Jain, Rishee K. & Taylor, John E., 2013. "Block Configuration Modeling: A novel simulation model to emulate building occupant peer networks and their impact on building energy consumption," Applied Energy, Elsevier, vol. 105(C), pages 358-368.
    4. Belman-Flores, J.M. & Barroso-Maldonado, J.M. & Rodríguez-Muñoz, A.P. & Camacho-Vázquez, G., 2015. "Enhancements in domestic refrigeration, approaching a sustainable refrigerator – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 955-968.
    5. Harrington, Lloyd & Aye, Lu & Fuller, Bob, 2018. "Impact of room temperature on energy consumption of household refrigerators: Lessons from analysis of field and laboratory data," Applied Energy, Elsevier, vol. 211(C), pages 346-357.
    6. Borges, Bruno N. & Hermes, Christian J.L. & Gonçalves, Joaquim M. & Melo, Cláudio, 2011. "Transient simulation of household refrigerators: A semi-empirical quasi-steady approach," Applied Energy, Elsevier, vol. 88(3), pages 748-754, March.
    7. Waltrich, Maicon & Hermes, Christian J.L. & Melo, Cláudio, 2011. "Simulation-based design and optimization of refrigeration cassettes," Applied Energy, Elsevier, vol. 88(12), pages 4756-4765.
    8. Martin Almenta, M. & Morrow, D.J. & Best, R.J. & Fox, B. & Foley, A.M., 2016. "Domestic fridge-freezer load aggregation to support ancillary services," Renewable Energy, Elsevier, vol. 87(P2), pages 954-964.
    9. Liu, Guoqiang & Yan, Gang & Yu, Jianlin, 2021. "A review of refrigerator gasket: Development trend, heat and mass transfer characteristics, structure and material optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    10. Marcinichen, Jackson Braz & Olivier, Jonathan A. & Oliveira, Vinicius de & Thome, John R., 2012. "A review of on-chip micro-evaporation: Experimental evaluation of liquid pumping and vapor compression driven cooling systems and control," Applied Energy, Elsevier, vol. 92(C), pages 147-161.
    11. Maximilian Lösch & Markus Fallmann & Agnes Poks & Martin Kozek, 2023. "Simulation-Based Sizing of a Secondary Loop Cooling System for a Refrigerated Vehicle," Energies, MDPI, vol. 16(18), pages 1-23, September.
    12. Negrão, Cezar O.R. & Hermes, Christian J.L., 2011. "Energy and cost savings in household refrigerating appliances: A simulation-based design approach," Applied Energy, Elsevier, vol. 88(9), pages 3051-3060.
    13. Qureshi, Bilal A. & Inam, Muhammad & Antar, Mohamed A. & Zubair, Syed M., 2013. "Experimental energetic analysis of a vapor compression refrigeration system with dedicated mechanical sub-cooling," Applied Energy, Elsevier, vol. 102(C), pages 1035-1041.
    14. Zehir, Mustafa Alparslan & Batman, Alp & Bagriyanik, Mustafa, 2016. "Review and comparison of demand response options for more effective use of renewable energy at consumer level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 631-642.
    15. Farzamkia, Saleh & Ranjbar, Hossein & Hatami, Alireza & Iman-Eini, Hossein, 2016. "A novel PSO (Particle Swarm Optimization)-based approach for optimal schedule of refrigerators using experimental models," Energy, Elsevier, vol. 107(C), pages 707-715.
    16. Daniel Hoehn & María Margallo & Jara Laso & Ana Fernández-Ríos & Israel Ruiz-Salmón & Rubén Aldaco, 2022. "Energy Systems in the Food Supply Chain and in the Food Loss and Waste Valorization Processes: A Systematic Review," Energies, MDPI, vol. 15(6), pages 1-15, March.
    17. Borges, Bruno N. & Melo, Cláudio & Hermes, Christian J.L., 2015. "Transient simulation of a two-door frost-free refrigerator subjected to periodic door opening and evaporator frosting," Applied Energy, Elsevier, vol. 147(C), pages 386-395.

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