Three dimensional modeling on airflow, heat and mass transfer in partially impermeable enclosure containing agricultural produce during natural convective cooling

Chourasia, M.K.; Goswami, T.K.

doi:10.1016/j.enconman.2006.12.018

Cited by 28 publications

(14 citation statements)

References 21 publications

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“…In the classification of Table 1, several models (e.g. 1-D: Ofoli and Burgess, 1986;Ooster, 1999, 3-D: Xu andBurfoot, 1999;Chourasia and Goswami, 2007;Kondrashov, 2007) seem similar; Tables 2 and 3 offer a further specification.…”

Section: State-space Frameworkmentioning

confidence: 97%

“…A general approximation for spherical packed beds was given by Ergun (1952) and used by Xu and Burfoot (1999), Chourasia and Goswami (2007) and Mourik (2008). Other approximations are possible as well, such as the Kozeny-Carman equation (Kondrashov, 2007).…”

Section: Distributed Parameter Models: Macro-scalementioning

confidence: 99%

“…For the simulation of the spatial distribution in potato storage facilities, computational fluid dynamic (CFD) software is most commonly used, see for instance Xu and Burfoot (1999), Kondrashov (2000), Xu et al (2002), Verboven et al (2006), Kondrashov (2007) and Chourasia and Goswami (2007).…”

Section: Modelling Potato Storagementioning

confidence: 99%

See 2 more Smart Citations

Modelling ventilated bulk storage of agromaterials: A review

Grubben

Keesman

2015

Computers and Electronics in Agriculture

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Section: State-space Frameworkmentioning

confidence: 97%

Section: Distributed Parameter Models: Macro-scalementioning

confidence: 99%

See 1 more Smart Citation

Modelling ventilated bulk storage of agromaterials: A review

Grubben

Keesman

2015

Computers and Electronics in Agriculture

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“…Thinking essentially of actual engineering applications, such as food and grain storage, building construction elements, internal fluid motion could interact with ambient environment through openings or infiltrations, i.e., partial enclosures. In past decades, single component natural convection in partial enclosures has been investigated broadly, including inclination, port size, heating boundary conditions, fluid properties, coupling with radiation, etc [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Combined heat and moisture convective transport in a partial enclosure with multiple free ports

Tang¹,

Liu²,

Zhao³

et al. 2010

Applied Thermal Engineering

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a b s t r a c tCombined heat and moisture transport in an enclosure with free ports has been investigated numerically. Enclosed moist air interacts with the surrounding air through these free-vented ports. The governing conservation equations were solved numerically using a control volume-based finite difference technique. Appropriate velocity boundary conditions at each ports are imposed to achieve overall mass conservation across this system. Air, heat and moisture transport structures are visualized respectively by streamlines, heatlines and masslines. Effects of buoyancy ratio, thermal Rayleigh number on convective heat/moisture transfer rate and flow rate across each free-vented port are discussed. Particularly, Numerical results demonstrate that the convective heat and moisture transport patterns and transport rates on horizontal ports greatly depend on properties of porous medium, while the air exchange rate on vertical port is almost unaffected by the buoyancy ratios for most situations.

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“…1D and 2D) thermal flow in porous media, as in, for example, bulk foodstorage facilities (Grubben & Keesman, 2015). In such systems, flow is often described by the law of conservation of momentum, and continuity equation in one, two or three dimensions (Chourasia & Goswami, 2007). Other transport phenomena, such as mass and energy transfer in the bulk, and between the food bulk and the air, are described by the laws of conservation for mass and energy, and constitutive laws.…”

Section: Nomenclaturementioning

confidence: 99%

Controllability and observability of 2D thermal flow in bulk storage facilities using sensitivity fields

Grubben

Keesman

2017

International Journal of Control

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To control and observe spatially distributed thermal flow systems, the controllable field and observable field around the actuator and sensor are of interest, respectively. For spatially distributed systems, the classical systems theoretical concepts of controllability and observability are, in general, difficult to apply. In this study, sensitivity fields were used to analyse the behaviour from input to state and from initial state to output. For the analysis of controllability and observability, a large-scale, bulk storage facility with coupled thermal flow of air and agro-products was used. Analysis of this system using the classical systems theory results in controllability and observability results that are dependent on the step size of the spatially discretised system. Due to matrix multiplications, inaccurate results are calculated if the step size is too small. Our findings indicate that input-state and initial-state output sensitivity fields provide sufficient information about the controllability and observability of large coupled spatially distributed systems, using finite-dimensional state space representation with small discretisation steps.

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Three dimensional modeling on airflow, heat and mass transfer in partially impermeable enclosure containing agricultural produce during natural convective cooling

Cited by 28 publications

References 21 publications

Modelling ventilated bulk storage of agromaterials: A review

Modelling ventilated bulk storage of agromaterials: A review

Combined heat and moisture convective transport in a partial enclosure with multiple free ports

Controllability and observability of 2D thermal flow in bulk storage facilities using sensitivity fields

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