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Physical and neural network models of a silica-gel desiccant wheel.

Author(s) : MORENO R., CEJUDO J. M., CARRILLO A.

Summary

Solid desiccant wheels are useful in cooling cycles when input to the system is thermal energy instead of electricity. The wheel works as a heat and mass (enthalpy) exchanger. Predicting the steady-state performance of a desiccant wheel can be achieved by solving a set of nonlinear differential equations governing the heat and mass transfer processes. The paper presents methods allowing the prediction of desiccant wheel performances and their respective accuracies.

Details

  • Original title: Physical and neural network models of a silica-gel desiccant wheel.
  • Record ID : 2003-2944
  • Languages: English
  • Source: CLIMA 2000. 7th REHVA World Congress, Naples 2001 [CD-ROM + Hard-copy abstracts].
  • Publication date: 2001/09/15
  • Document available for consultation in the library of the IIR headquarters only.

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