Abstract
The population of the world is continuously increasing there will be about 8.9 billion people by 2050. There will be a requirement of more and more food for the people. Amidst this, the food wastage around the world is still around 40%. Thus, there is a need to store the food over a long duration without compromising the nutritional value. One of the solutions is to use a solar drying process for enhancing the shelf life of food products. Currently in India, open sun drying process is implemented by the farmers to preserve food products in the rural areas. However, this compromises the nutrition value of the crop, hence its price. These dried products are often not suitable for supply in local or international markets. Therefore, there is a need to implement innovation at an affordable cost, such that the food products can be efficiently dried. This includes drying of seasonal crops, vegetables, medicinal crops, fish, etc. This paper provides a comprehensive review of different drying processes that are practiced worldwide. It also discusses the use of different storage-based dryers followed by an assessment of the implementation of storage within a dryer. It provides a systematic procedure to carry out thermal analysis for the same, for different design variables such as wind speed, solar insolation, and dry bulb temperature and assess the increase in drying hours with storage incorporation (in different configurations). A case study on the same has also been referred followed by study on the drying kinetics of the same.
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Abbreviations
- \(m_{a}\) :
-
Air flow rate \(\left( {\text{kg/s}} \right)\)
- \(T_{i}\) :
-
The collector inlet air temperature \(\left( {^\circ {\text{C}}} \right)\)
- \(T_{c}\) :
-
The collector outlet temperature \(\left( {^\circ {\text{C}}} \right)\)
- \(A_{c}\) :
-
Area of collector (\({\text{m}}^{2} )\)
- \(C_{p}\) :
-
Specific heat
- \(I\) :
-
Incident solar radiation \(\left( {{\text{W}}/{\text{m}}^{2} } \right)\)
- \(M_{w}\) :
-
Mass of water (\({\text{kg}})\)
- \(L_{w}\) :
-
Mean temperature of latent heat \({\text{J}}/{\text{kg}}\)
- \(T_{f}\) :
-
Exit temperature of chamber \({ }^\circ {\text{C}}\)
- \(a, c, n\) :
-
Empirical constants in models
- \(M_{O}\) :
-
Initial moisture content
- \(P_{t}\) :
-
Total energy input
- \(P_{f}\) :
-
The fan power
- \(H_{{{\text{fg}}}}\) :
-
The latent heat of vaporization (\({\text{kJ}}/{\text{kg}})\)
- \({\text{AH}}\) :
-
Absolute humidity
- \({\text{SEC}}\) :
-
Specific energy consumption
- \(M_{e}\) :
-
Equilibrium moisture content
- \(M\) :
-
Moisture content
- \({\text{MR}}\) :
-
Moisture ratio
- \(R^{2}\) :
-
Correlation coefficient
- \({\text{MBE}}\) :
-
Mean bias error
- \({\text{RMSE}}\) :
-
Root mean square error
- \(h_{i} \,{\text{to}}\,h_{{{\text{co}}}}\) :
-
Specific enthalpy of air rises
- \(\phi_{i} = \phi_{{{\text{co}}}}\) :
-
Humidity ratio
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Dudhiya, M., Parmar, J., Saxena, R., Patel, V., Patel, J. (2022). Study and Assessment of Solar Drying Configurations with Storage Incorporation. In: Mukherjee, K., Layek, R.K., De, D. (eds) Tailored Functional Materials. Springer Proceedings in Materials, vol 15. Springer, Singapore. https://doi.org/10.1007/978-981-19-2572-6_26
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