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Parametric analysis of components effectiveness on desiccant cooling system performance

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  • Sphaier, L.A.
  • Nóbrega, C.E.L.

Abstract

A number of studies have been conducted for investigating parameters that influence the performance of desiccant cooling systems. Many of these rely on intricate numerical simulations, especially due to coupled non-linear transport equations associated with a desiccant dehumidifier. In this study, a simple numerical procedure for designing desiccant cooling systems has been employed for analyzing the impact of cycle components’ characteristics on the overall system performance. The methodology is based on solving a non-linear algebraic system stemming from heat and mass transfer balances associated with the operation of each component. The required input data involves user-prescribed inlet and room conditions, a regeneration temperature, and cycle components’ effectiveness values. With the proposed methodology, results of different cooling cycles are presented in an informative graphical fashion that can readily be used as a design tool for desiccant cooling systems. The results show that COP values clearly over one can be obtained for ideal ventilation cycles, which have 100% heat wheel effectiveness. Nevertheless, a great reduction, by factors of two and higher, are obtained when this effectiveness is reduced to 0.8. In addition, the results show that a 20–30% decrease in dehumidifier performance can lead to 30–50% reduction in the overall ventilation cycle performance.

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  • Sphaier, L.A. & Nóbrega, C.E.L., 2012. "Parametric analysis of components effectiveness on desiccant cooling system performance," Energy, Elsevier, vol. 38(1), pages 157-166.
    • Handle: RePEc:eee:energy:v:38:y:2012:i:1:p:157-166
    DOI: 10.1016/j.energy.2011.12.019
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    2. Jani, D.B. & Mishra, Manish & Sahoo, P.K., 2016. "Solid desiccant air conditioning – A state of the art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1451-1469.
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    4. Ruivo, Celestino R. & Goldsworthy, Mark & Intini, Manuel, 2014. "Interpolation methods to predict the influence of inlet airflow states on desiccant wheel performance at low regeneration temperature," Energy, Elsevier, vol. 68(C), pages 765-772.
    5. Cui, Xin & Yang, Chuanjun & Yan, Weichao & Zhang, Lianying & Wan, Yangda & Chua, Kian Jon, 2023. "Experimental study on a moisture-conducting fiber-assisted tubular indirect evaporative cooler," Energy, Elsevier, vol. 278(PB).
    6. Pedro J. Martínez & Carlos Llorca & José A. Pla & Pedro Martínez, 2017. "Experimental Validation of the Simulation Model of a DOAS Equipped with a Desiccant Wheel and a Vapor Compression Refrigeration System," Energies, MDPI, vol. 10(9), pages 1-15, September.
    7. La, D. & Li, Y. & Dai, Y.J. & Ge, T.S. & Wang, R.Z., 2012. "Development of a novel rotary desiccant cooling cycle with isothermal dehumidification and regenerative evaporative cooling using thermodynamic analysis method," Energy, Elsevier, vol. 44(1), pages 778-791.
    8. Safizadeh, M. Reza & Morgenstern, Alexander & Bongs, Constanze & Henning, Hans-Martin & Luther, Joachim, 2016. "Optimization of a heat assisted air-conditioning system comprising membrane and desiccant technologies for applications in tropical climates," Energy, Elsevier, vol. 101(C), pages 52-64.

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