Keywords: hybrid solar dryer, artificial neural network modeling, pineapple


This research presents experimental performance and artificial neural network modeling of a hybrid solar dryer for drying pineapples at Raimoung Community Enterprise, Loei province (17.48N, 101.72E), Thailand. Ten batches of the pineapples were used for drying experiments, 10.0 kg of the pineapples per batch. The parameters used in the artificial neural network model are solar radiation, air temperature, relative humidity and airflow rate. The numerical solution was programmed using C++ programming. The results showed that pineapple moisture contents calculated from the model corresponded with the experimental values, representing RMSE=0.4003 and R2=0.9918.


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Author Biography

Jagrapan Piwsaoad, Program of Physics, Department of Science, Faculty of Science and Technology, Loei Rajabhat University, Loei 42000, Thailand
-Thailand Citation Index Centre


Audsley E, Wheeler J. The annual cost of machinery calculated actual cash flows, Journal of Agricultural Engineering Research, 1987; 23: 189-201.

Funholi A, Sopian K, Ruslan MH et al. Review of solar dryer for agricultural and marine products, Renewable and sustainable Energy Reviews, 2010; 14: 1-30.

Janjai S, Laksanaboonsong J, Thongsathitya A. Development of a method for generating operational solar radiation maps from satellite data for a tropical environmental, Solar Energy. 2005; 78: 739-751.

Janjai S, Khamvongsa V, & Bala BK. Development, design and performance of aPV- Ventilated greenhouse dryer, International Energy Journal. 2007; 8: 249-258.

Janjai S, Lamlert N, Intawee P, et al. Solar drying of peeled longan using a side loading type solar tunnel dryer: Experimental and simulated performance, Drying Technology. 2009a; 27: 595–605.

Janjai S, Lamlert N, Intawee P. et al. Experimental and simulated performance of a PV-ventilated solar greenhouse dryer for drying of peeled longan and banana, Solar Energy, 2009b; 83: 1550-1565.

Janjai S, Piwsaoad J, Nilnon TW. et al. Experimental performance and Neuron Network modeling of a Large-scale Greenhouse solar dryer for drying Natural rubber sheets, Journal of Control Science and Engineering, 2015; 1: 48-53.

Murthy MV. A review of new technologies, models and experimental investigations of solar dryers, Renewable Energy Reviews, 2009; 13: 835-844.

Piwsaoad J, Phusampao C. Performance of a Small-Scale Greenhouse Solar Dryer for Drying Long peppers of Ban Khokamin Community Enterprise Loei Province Thailand, Sakon Nakhon Rajabhat University Journal of Science and Technology, 2016; 8(2): 268-274.

Sharma A, Chem CR, Lan N.V. Solar-energy drying systems, A review, Renewable and Sustainable Energy Reviews, 2009; 13: 1185-1210.
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