Experimental investigation of a solar dryer with natural convective heat flow

Gbaha, Prosper; Andoh, Hideyasu; ., J.K. Saraka; Koua, Blaise Kamenan; Touré, Siaka

doi:10.1016/j.renene.2006.10.011

Cited by 72 publications

(19 citation statements)

References 13 publications

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“…of previous work reported by Touré and Kibangu-Nkembo [6] and very close to 13% w.b. that obtained by Gbaha et al [4].…”

Section: Drying Kineticssupporting

confidence: 55%

“…Dissa, Bathiebo, Kam, Savadogo, Desmorieux & Koulidiati [3] modelled and experimented thin layer indirect solar drying of Amelie mango slices. By experimenting a solar with natural convective heat flow, Gbaha et al [4] studied the direct solar drying kinetics of plantain banana, sweet banana, cassava and mango. Madlopa, Jones & Kalenga [5] studied the indirect solar drying of mango slices using a natural convection solar dryer with a composite-absorber system.…”

Section: Introductionmentioning

confidence: 99%

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A Convective Thin Layer Drying Model with Shrinkage for Kent Mango Slices

Dissa¹,

Desmorieux²,

Koulidiati³

2016

ACES

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In this work, a model of convective drying of mango slices was developed and validated by experiments. This model was established by considering slices shrinkage in the energy and the mass balances during the thin layer drying. The drying kinetics and the temperature curves of the product were simulated using the model at various drying temperatures. The simulated curves were then compared to the experimental curves obtained using a convective dryer controlled in temperature and moisture. The results showed that the drying curves were suitably fitted by the thin layer drying model with a correlation coefficient r 2 = 0.997. Thus, taking shrinkage into account, it is possible to predict more effectively the thin layer drying kinetics of mango slices. This study therefore contributed to the mango drying modelling and to the mango dryer setting.

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“…of previous work reported by Touré and Kibangu-Nkembo [6] and very close to 13% w.b. that obtained by Gbaha et al [4].…”

Section: Drying Kineticssupporting

confidence: 55%

Section: Introductionmentioning

confidence: 99%

A Convective Thin Layer Drying Model with Shrinkage for Kent Mango Slices

Dissa¹,

Desmorieux²,

Koulidiati³

2016

ACES

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“…Thin-layer drying models have been used for analysis of drying of various agricultural and marine products, such as fish (Kilic, 2009), sea cucumber (Duan et al, 2010), spirulina (Dissa et al, 2010), apple (Doymaz, 2010), banana (Smitabhindu et al, 2008), berberis (Aghbashlo et al, 2008), blueberry (Vega-Galvez et al, 2009), carrot (Berruti et al, 2009), cassava (Ghaba et al, 2007), cocoa (Hii et al, 2009), pear (Guine et al, 2007), mango (Dissa et al, 2011), apricots, fig, grape andplum (Togrul andPehlivan, 2004), tomatoes (Marfil et al, 2008), sweet cherry (Doymaz and Osman, 2011), chili (Artnaseaw et al, 2010) and red beet (Kaleta and Krzysztof, 2010). Heat pump drying was proposed to enhance the drying kinetic of salak fruit and retain a high concentration of total phenolic compounds in the fruit (Ong and Law, 2011).…”

Section: Introductionmentioning

confidence: 99%

DRYING CHARACTERISTICS OF THE BORNEO <i>CANARIUM ODONTOPHYLLUM</i> (DABAI) FRUIT

Basri¹,

Fudholi²,

Ruslan³

2012

American Journal of Agricultural and Biological Sciences

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The quality and shelf-life of an underutilized fruits are compromised by the conventional method of drying. We therefore proposed using hot-air chamber to develop the drying curves of Canarium odontophyllum (Dabai) fruit. Present study provides evidence of the best mathematical model to demonstrate the drying characteristics of this indigenous fruit and thus, may generate or add to the existing database. The drying experiments were performed at three different relative humidity of 10, 20 and 30% and a constant air velocity of 1 m sec. Drying kinetics of C. odontophyllum fruit were investigated and obtained. A non-linear regression procedure was used to fit three different one-term exponential models of thin layer drying models. The models were compared with experimental data of C. odontophyllum fruit drying at air temperature of 55°C. The fit quality of the models was evaluated using the coefficient of determination (R 2 ), Mean Bias Error (MBE) and Root Mean Square Error (RMSE). The highest value of R 2 obtained was 0.9348, the lowest MBE value was 0.0018 and the value for RMSE was 0.0420. Page model is the best mathematical model to describe the drying behavior of C. odontophyllum fruit.

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“…Therefore, the energy spent for the use of SCAR depends on the price of oil, because the oil energy is substituted for SCAR energy. In the present study, the following formula is utilized to express the feasibility of SCAR use (Kumar, A. et al, 2002): (Gbaha P. et al, 2007). Because there is not an established law which explains conclusively the complex drying-reabsorption mechanism, most of the works carried out on this issue are experimental.…”

Section: Energy Content Estimationmentioning

confidence: 99%

Energy Recovery from Sugarcane: Study of Heating Value Variations of Sugarcane-trash with Moisture Content during the Milling Season

Pippo¹,

Luengo²,

Alberteris³

et al. 2014

AJBB

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Although sugarcane-trash (SCAR) energy represents a third of all sugarcane energy content, it continues to be the least studied of sugarcane agro-industrial residues. SCAR and bagasse moisture content were studied during the 2009-2010 and 2010-2011 milling seasons. It was determined that the percentage of dry and green matters represented 69% and 31% of the mass of SCAR, respectively. From an energy point of view, it was also established that there are no significant differences between the green and dry components of SCAR. Different analyses were carried out to estimate the High Heating Value (HHV) and Low Heating Value (LHV) of SCAR. In addition, meteorological factors and their influence on the moisture content of SCAR were studied during both milling seasons, and the variation in the energy content of SCAR during this period was controlled monthly. Regression models to SCAR moisture content forecasting were built and validated. The meteorological and geographical constrictions pertaining to the use of those models are discussed. Methodology to assess the feasibility of SCAR energy use was proposed.

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Experimental investigation of a solar dryer with natural convective heat flow

Cited by 72 publications

References 13 publications

A Convective Thin Layer Drying Model with Shrinkage for Kent Mango Slices

A Convective Thin Layer Drying Model with Shrinkage for Kent Mango Slices

DRYING CHARACTERISTICS OF THE BORNEO <i>CANARIUM ODONTOPHYLLUM</i> (DABAI) FRUIT

Energy Recovery from Sugarcane: Study of Heating Value Variations of Sugarcane-trash with Moisture Content during the Milling Season

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