HYBRID SOLAR DRYER FOR DRYING PINEAPPLES OF RAIMOUNG COMMUNITY ENTERPRISE, LOEI PROVINCE, THAILAND

Authors

  • Jagrapan Piwsaoad Program of Physics, Department of Science, Faculty of Science and Technology, Loei Rajabhat University, Loei 42000, Thailand http://orcid.org/0000-0002-1825-0097

Keywords:

hybrid solar dryer, artificial neural network modeling, pineapple

Abstract

This research presents experimental performance and artificial neural network modeling of a hybrid solar dryer for drying pineapples at Raimoung Community Enterprise, Loei province (17.48๐N, 101.72๐E), 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.

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

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Published

2019-06-10

How to Cite

Piwsaoad, J. (2019). HYBRID SOLAR DRYER FOR DRYING PINEAPPLES OF RAIMOUNG COMMUNITY ENTERPRISE, LOEI PROVINCE, THAILAND. Life Sciences and Environment Journal, 20(1), 97–110. Retrieved from https://ph01.tci-thaijo.org/index.php/psru/article/view/134825

Issue

Vol. 20 No. 1 (2019): January - June

Section

Research Articles

License

Each article is copyrighted © by its author(s) and is published under license from the author(s).