Simulation model for solar energy harnessing by the solar tunnel dryer

Models were developed to predict global solar radiation and the energy harnessed by a solar tunnel dryer, and simulated in Visual Basic 6.  In addition, the simulated data were compared with actual data.  Using a 10% absolute residual error interval, the developed model achieved 78.4% and 83.3% performance for global solar radiation and energy harnessing, respectively.  Further, the relationship between global solar radiation and the ten years mean satellite solar radiation, and that between the actual and simulated plenum chamber temperatures were linear, with coefficients of determination (R2) of 0.788 and 0.962.  Thus, it shows that there is the existence of strong correlation between satellite and predicted global solar radiation, and between predicted and actual plenum chamber temperatures.  Furthermore, Student’s t-test did not show any significant difference between simulated and actual data for solar radiation and energy harnessing.  Finally, this study shows that the developed model can be used to predict solar radiation and the energy harnessed by the solar tunnel dryer.Keywords: modeling, tunnel-dryer, global, direct, solar-radiation, plenum-temperature Citation: Kituu G. M., D. Shitanda, C. L. Kanali, J. T. Mailutha, C. K. Njoroge, J. K.Wainaina, and J. S Bongyereire. Simulation model for solar energy harnessing by the solar tunnel dryer.  Agric Eng Int: CIGR Journal, 2010, 12(1): 91-98

Thin Layer Drying Kinetics Of Amaranth ( Amaranthus Cruentus ) Grains In A Natural Convection Solar Tent Dryer

An experimental solar tent dryer under natural convection was used to study thin layer drying kinetics of amaranth ( Amaranthus cruentus ) grains. Drying of grains in the dryer was carried out on a drying rack having two layers; top and bottom. The ambient temperature and relative humidity ranged from 22.6-30.4°C and 25-52%, respectively, while the inside temperature and relative humidity in the solar dryer ranged from 31.2-54.7°C and 22-34%, respectively. Freshly harvested amaranth grains with an average moisture content of 64% were dried under the solar tent dryer for seven hours to a final moisture content of 7% (dry basis). A non-linear regression analysis was used to evaluate six thin layer drying models (viz., Newton, Page, Modified Page, Henderson & Pabis, Logarithmic and Wang & Singh) for amaranth grains. The models were compared using coefficient of determination (R2), root mean square error (RMSE), reduced chi-square (χ2) and prediction performance (ηp) in order to determine the one that best described thin layer drying of amaranth grains. The results show that the Page model satisfactorily described the drying of amaranth grains with R2 of 0.9980, χ2 of 0.00016 and RMSE of 0.01175 for bottom layer and R2 of 0.9996, χ2 of 0.00003 and RMSE of 0.00550 for top layer of the drying rack. Based on a ± 5% residual error interval, the Page model attained the highest prediction performance (ηp = 80%) when drying the grains in both layers of the dryer. This shows that there was a good agreement between the predicted and experimental moisture changes during solar drying of amaranth grains under natural convection. The transport of water during dehydration was described by applying the Fick's diffusion model and the effective moisture diffusivity for solar tent drying of amaranth grains was found to be 5.88 x 10-12 m2s-1 at the bottom layer and 6.20 x 10-12 m2s-1 at the top layer. High temperatures developed at the top layer of the dryer led to high effective moisture diffusivity and this showed that temperature strongly influences the mechanism of moisture removal from the grains