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Simulation-based design and optimization of refrigeration cassettes

Author

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  • Waltrich, Maicon
  • Hermes, Christian J.L.
  • Melo, Cláudio

Abstract

A model-driven design and optimization methodology for sizing the components of refrigeration cassettes for light commercial applications (i.e., cooling capacities ranging from 0.5 to 1.5kW) is presented. Mathematical models were devised for each of the system components and their numerical results were compared with experimental data taken with different cassettes. It was found that the model predictions for the working pressures, power consumption, cooling capacity and coefficient of performance (COP) showed maximum deviations of±10%. A genetic optimization algorithm was used to design the condenser and evaporator and also to select the compressor model based on an objective function which considers both the COP and cost. The optimization led to two improved cassette designs, which were assembled and tested. One of the optimized cassettes showed a COP/cost ratio approximately 50% higher than that of the baseline system.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:88:y:2011:i:12:p:4756-4765
    DOI: 10.1016/j.apenergy.2011.06.020
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Gholap, A.K. & Khan, J.A., 2007. "Design and multi-objective optimization of heat exchangers for refrigerators," Applied Energy, Elsevier, vol. 84(12), pages 1226-1239, December.
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    Cited by:

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    2. Gazda, Wiesław & Kozioł, Joachim, 2013. "The estimation of energy efficiency for hybrid refrigeration system," Applied Energy, Elsevier, vol. 101(C), pages 49-57.

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