Investigation on thermal performance calculation of two type solar air collectors using artificial neural network

  title={Investigation on thermal performance calculation of two type solar air collectors using artificial neural network},
  author={Murat Caner and Engin Gedik and Ali Keçebas},
  journal={Expert Syst. Appl.},
0957-4174/$ see front matter 2010 Elsevier Ltd. A doi:10.1016/j.eswa.2010.07.090 * Corresponding author. E-mail address: (M. Caner). In this study, two types of solar air collectors are constructed and examined experimentally. The types are called as zigzagged absorber surface type and flat absorber surface type called Model I and Model II respectively. Experiments are carried out between 10.00 and 17.00 h in August and September under the prevailing weather conditions of… CONTINUE READING
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Thermal performance parameters estimation of hot box type solar cooker by using artificial neural network

  • H. Kurt, K. Atik, M. Ozkaymak, Z. Recebli
  • International Journal of Thermal Sciences,
  • 2008
Highly Influential
3 Excerpts

Application of artificial neural network to predict the friction factor of open channel flow

  • Z. Yuhong, H. Wenxin
  • Communications in Nonlinear Science and Numerical…
  • 2009
2 Excerpts

Artificial intelligence techniques for photovoltaic applications: A review

  • A. Mellita, S. A. Kalogirou
  • Progress in Energy and Combustion Science,
  • 2008
1 Excerpt

Effect to the performance of different type absorber plates on the solar air collectors (in Turkish)

  • E. Gedik, A. Kecebas, E. S. Sait
  • Journal of the Faculty of Engineering and…
  • 2008

Experimental energy and analysis of a double-flow solar air heater having different obstacles on absorber plates

  • H. Esen
  • Building and Environment,
  • 2007
1 Excerpt

Modeling of a mechanical cooling system with variable cooling capacity by using artificial neural network

  • S. Yilmaz, K. Atik
  • Applied Thermal Engineering,
  • 2007
1 Excerpt

Performance analysis of new-design solar air collectors for drying applications

  • S. Karsli
  • Renewable Energy,
  • 2007
2 Excerpts

Performance comparative and experimental investigation on the two different solar air collector have flat plate and zigzagged absorber surface

  • E. Gedik
  • 2007
1 Excerpt

Artificial neural network analysis of a refrigeration system with an evaporative condenser

  • H. M. Ertunc, M. Hosoz
  • Applied Thermal Engineering,
  • 2006
1 Excerpt

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