Fuzzy modeling of a hybrid solar dryer: experimental validation

Year 2019, Volume: 3 Issue: 1, 1 - 13, 31.03.2019

Ahmed Zoukit , Hicham El Ferouali İssam Salhi Said Doubabi Naji Abdenouri

https://doi.org/10.30521/jes.457645

Cited By: 10

Abstract

A Takagi Sugeno fuzzy
(TSF) modeling of an indirect hybrid solar-electrical dryer operated in forced
convection (0.027 kg/s) was developed. The hybrid dryer was considered as a
nonlinear and uncertain system where the operating point varies with weather conditions
and airflow. The proposed TSF model was used to predict the drying temperature
in no load conditions. Different experimental measurements were set up and used
for evaluating the reliability of this model. At first and before applying this
method to hybrid solar-electrical dryer, the TSF modeling was tested on solar
mode and electrical mode where only one energy source was considered in each
mode. The proposed model was experimentally validated in two main modes of the
dryer operation: solar mode and electrical mode. The predicted behavior was
closed to the experimental data with Root Mean Square Error (RMSE) of 2.34 and
2.21 in solar mode and electrical mode, respectively. The obtained predicted
behavior confirms the pertinence of the identified model. The TSF model of the
dryer leads to predict the drying temperature instantly with a huge reduction
in simulation time in comparison with other modeling techniques. Thus, it is
useful for synthesizing a control system of the drying parameters.

Keywords

Solar energy, Hybrid dryer, Drying temperature, Takagi Sugeno fuzzy modeling

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