Abstract
Drying of agricultural products is a widely spread method achieving a physiochemical stabilization of the material by removing part of the moisture content, producing therefore products with new qualitative properties and different nutritional and economical value. Significant amounts of agricultural crops are dried artificially in mechanical drying systems using heated air. Simulation models of the drying process are used either for designing new or improving existing drying systems or for the control of the drying process. All parameters (transfer coefficients, drying constants, etc.) used by the simulation models are directly related to the drying conditions, i.e., temperature and velocity of the drying medium inside the mechanical dryer. As a consequence, the drying conditions, as directly related to the drying time, are affecting the energy demands.
The drying process principles, describing the periods of drying and their modeling (constant and falling-rate periods), are first reported and analyzed, giving the fundamental mathematical relations describing the drying process and the driving forces involved. The concepts of water activity and equilibrium moisture content are therefore introduced, in order to describe the fundamental concept of sorption-desorption isotherms which are the curves that fundamentally determine the way the particular solid can be dehydrated.
In the subsequent chapter, the basic mathematical relations and theories of the drying process involving simultaneous heat and mass transfer models as well as those of the simplified thin-layer and deep-bed models are given.
An overview of solar drying methods (in both thin-layer and deep-bed dryers) along with the principal solar drying systems (direct sun dryers, passive and active dryers) will then be briefly introduced, discussing the respective fields of application and analyzing their advantages and disadvantages. Finally, the basic mathematic equations used for describing and modeling the various physical processes within the most common drying systems and devices are reported. A brief discussion of the recent advances in modeling is finally presented where pertinent.
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Nomenclature
Nomenclature
aw | Water activity | – |
a, b, c, n | Constants | – |
A | Area | m2 |
Ap | Area of a drying product | m2 |
Bi m | Biot number for mass | – |
Bi h | Biot number for heat | – |
c p,p | Specific thermal capacity of a product | kJ ⋅ kg−1 ⋅ K−1 |
c p,a | Specific thermal capacity of air | kJ ⋅ kg−1 ⋅ K−1 |
C, c o, K, k o | Constants in GAB equation | – |
D | Moisture diffusion coefficient | m2 ⋅ s−1 |
D o | Constant in the Arrhenius equation for diffusion | – |
D eff | Effective value of diffusivity | m2⋅ s−1 |
D eff,ref | Reference value for effective diffusivity | m2⋅ s−1 |
DR | Drying rate | kg ⋅ kg−1 dry mater ⋅ s−1 |
Fo | Nondimensional Fourier number | – |
h g | Heat transfer coefficient | W ⋅ m−2 ⋅ °C−1 |
hfg | Latent heat of evaporation of water | kJ ⋅ kg−1 |
J m | Mass flow | kg⋅ m−2⋅ s−1 |
j h | Chilton-Colburn coefficient for heat | – |
j m | Chilton-Colburn coefficient for mass | – |
k g | Mass transfer coefficients | kg ⋅ m−2 ⋅ s−1 |
k, k o , k 1 | Constants | – |
Κ v | Vapor diffusion coefficient | m2 ⋅ s−1 |
K | Drying constant | h−1 |
L | Characteristic length | m |
m | Mass | kg |
m p | Mass of product | kg |
m d | Mass of dry material | kg |
M | Moisture content, wet basis | kg H2O ⋅ kg−1 prod. |
Mo | Initial moisture content, wet basis | kg H2O ⋅ kg−1 prod. |
M eq | Equilibrium moisture content, wet basis | kg H2O ⋅ kg−1 prod. |
MR | Moisture ratio | – |
M v | Vapor molecular weight | kg |
M g | Drying air molecular weight | kg |
Nu | Nusselt number | – |
Pr | Prandtl number | – |
P v | Vapor pressure | Pa |
P v,sat | Saturated vapor pressure | Pa |
P t | Total pressure of vapor | Pa |
P w | Pressure of vapor over water | Pa |
q | Heat flow | W ⋅ m−2 |
Re | Reynolds number | – |
R | Σταθερά αερίων | 8.3143 J ⋅ mol−1⋅ K−1 |
t | Time | h |
T, θ | Temperature | oC |
T abs | Absolute air temperature | K |
T air | Air temperature | oC |
T p | Product temperature | oC |
T wb | Wet-bulb temperature | oC |
Υ | Moisture content of air | kg H2O ⋅ kg−1 dry air |
V | Volume | m3 |
V b | Apparent volume | m3 |
V ref | Reference volume | m3 |
vair | Velocity | m ⋅ s−1 |
W | Weight | kg |
W o | Initial weight | kg |
W d | Weight of dry matter | kg |
Χ | Moisture content, dry basis | kg H2O ⋅ kg−1 dry matter |
Χο | Initial moisture content, dry basis | kg H2O ⋅ kg−1 dry matter |
Χeq | Equilibrium moisture content, dry basis | kg H2O ⋅ kg−1 dry matter |
Χ cr | Moisture content at critical point | kg H2O ⋅ kg−1 dry matter |
Χ s | Moisture content, dB, at the surface | kg H2O ⋅ kg−1 dry matter |
1.1 Greek Symbols
α | Air or thermal diffusivity of a fluid | m2 ⋅ s−1 |
ε | Porosity of a solid | – |
λ | Thermal conductivity | W ⋅ m −1 ⋅ oC−1 |
μ | Dynamic viscosity | kg ⋅ m −1 ⋅ s−1 |
ν | Kinematic viscosity | m2 ⋅ s−1 |
ρ | Density | kg ⋅ m−3 |
φ | Relative humidity | % |
Φ | Drying parameter | – |
1.2 Indices
air | Air |
b | Bulk |
cr | Critical |
d | Dry matter |
eff | Effective value |
eq | Equilibrium value |
h | Heat |
in | Initial value |
l | Liquid |
m | Mass |
ο | Initial value |
p | Product |
ref | Reference value |
sat | Saturated value |
v ή vap | Vapor |
w | Water |
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Babalis, S., Papanicolaou, E., Belessiotis, V. (2017). Fundamental Mathematical Relations of Solar Drying Systems. In: Prakash, O., Kumar, A. (eds) Solar Drying Technology. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-3833-4_4
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