Optimization of solar grain drying in a continuous flow dryer

Radajewski, W; Jolly, Pascal; Abawi, GY

doi:10.1016/0021-8634(87)90125-9

Cited by 21 publications

(11 citation statements)

References 5 publications

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“…Rice and coffee are chosen as the objects of materials studied in this paper because as mentioned before, rice is the common food staple in a lot of countries and drying is very important to maintain the shelf life while drying of coffee is one of the important factors which determines the quality of coffee (Hernandez-Diaz et al, 2008). The simple and accurate drying model can help to design of better dryer or improve dryer performance since sun drying has several issues as mentioned before (Ozisik et al, 1980;Radajewski et al, 1987;Basunia and Abe, 2001;Hernandez-Diaz et al, 2008). In addition, rice and coffee are studied here because they have relatively lower moisture content than the dairy materials and pulped kiwi fruits whose drying has been modeled accurately using the REA.…”

Section: Introductionmentioning

confidence: 98%

“…Sun drying has been practiced since long time ago to reduce moisture content but it has several issues including difficulty to control drying conditions, requirement of large drying area, high labor cost, poor hygiene and risks of insect infestation and contamination (Ozisik et al, 1980;Radajewski et al, 1987;Basunia and Abe, 2001;Hernandez-Diaz et al, 2008). In order to achieve better drying, artificially setup of drying could be applied (Sfredo et al, 2002).…”

Section: Introductionmentioning

confidence: 98%

“…In order to achieve better drying, artificially setup of drying could be applied (Sfredo et al, 2002). For grain drying, convective drying is the appropriate method to remove the moisture content (Roa and Macedo, 1976;Radajewski et al, 1987;Schoenau et al, 1995;Cihan et al, 2007). However, this is usually energy-intensive as hot air drying is the drying medium.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical modeling of intermittent and convective drying of rice and coffee using the reaction engineering approach (REA)

Putranto

Chen

Xiao

et al. 2011

Journal of Food Engineering

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Mathematical modeling of intermittent and convective drying of rice and coffee using the reaction engineering approach (REA)

Putranto

Chen

Xiao

et al. 2011

Journal of Food Engineering

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“…Again, the simulation model is essential to optimize the dryer component and drying process, and optimization techniques can be used for optimal design of solar drying systems [1,2]. Several studies have been reported on the optimization of natural convection and forced convection solar drying systems [3][4][5][6][7]. Very few studies have been carried out for simulation and optimization of solar-assisted drying system for tropical fruits.…”

Section: Article In Pressmentioning

confidence: 99%

Optimization of a solar-assisted drying system for drying bananas

2008

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This paper presents a mathematical model for optimal design of a solar-assisted drying system for drying bananas. The optimization model consists of a simulation model of a solar-assisted drying system combined with an economic model. The simulation model is composed of two systems of differential equations: one for the collector and other for the drying cabinet. These systems of the differential equation were solved using the finite difference method. Values of the model parameters were determined experimentally. A computer program in FORTRAN was developed to simulate the performance of the drying system. The model was validated by comparing the simulation results with the experimental results and they were in good agreement. This simulation model was used for the optimization of the solar-assisted drying system. An economic model was formulated to calculate the annual drying cost. The optimization problem was defined as the optimization of the geometry and operational parameters of the drying system so as to minimize the drying cost per unit of dried product. Currently used collector area and the air recycle factor were considered as the parameters for basic mode of operation of the drying system. The adaptive pattern search technique was adopted to find the optimum values of the solar collector area and the recycle factor. The optimum values of the collector area and the recycle factor were found to be 26 m 2 and 90%, respectively. The computer program developed in this study can be used to optimize similar drying systems. r

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“…Email: subodhk@ces.iitd.ernet.in the system financially attractive to intending users. For instance, Radajewski, Jolly, and Abawi (1987) proposed a computer model to reduce drying cost through optimisation of geometry and specific rate of air flow of solar assisted dryer system. In addition, dryer size optimisation studies of natural and forced convection solar dryer systems based on simulation models have been carried out to achieve minimum cost per unit moisture removal (Youcef-Ali and Desmons 2005;Potdukhe and Thombre 2008).…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of solar dryer system for optimal operation: mathematical modelling and experimental validation

Singh

Kumar

2013

International Journal of Sustainable Energy

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An analytical moisture diffusion model which considers the influence of external resistance to mass transfer is developed. The methodology to determine constant and variable moisture diffusion coefficients, D eff is proposed. A laboratory model of mixed-mode solar dryer is constructed to perform 16 experiments for different performance dependent variables under simulated indoor conditions. The potatoes (Solanum tuberosum) of Kufri Safed variety have been chosen as the test food product. The range of variables investigated is absorbed thermal energy (150-750 W/m 2 ); air mass flow rate (0.009-0.022 kg/s); loading density (1.08-4.33 kg/m 2 ) and sample thickness (5-18 mm). The efficiency results have been analysed to identify the value of each process variable leading to optimal operation of dryer. The study reveals that dryer with sample thickness of 8 mm and loading density of 4.33 kg/m 2 can operate optimally for absorbed energy of 450 W/m 2 and air mass flow rate of 0.017 kg/s.

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Optimization of solar grain drying in a continuous flow dryer

Cited by 21 publications

References 5 publications

Mathematical modeling of intermittent and convective drying of rice and coffee using the reaction engineering approach (REA)

Mathematical modeling of intermittent and convective drying of rice and coffee using the reaction engineering approach (REA)

Optimization of a solar-assisted drying system for drying bananas

Performance evaluation of solar dryer system for optimal operation: mathematical modelling and experimental validation

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