Applications of software in solar drying systems: A review

被引：71

作者：

Chauhan, Prashant Singh ^{[1
]}

Kumar, Anil ^{[2
]}

Tekasakul, Perapong ^{[2
]}

机构：

[1] Maulana Azad Natl Inst Technol, Energy Ctr, Bhopal 462051, India

[2] Prince Songkla Univ, Fac Engn, Dept Mech Engn, Energy Technol Res Ctr, Hat Yai 90112, Songkhla, Thailand

来源：

RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2015年 / 51卷

关键词：

Solar dryer; Simulation modeling; CFD; COMSOL multi physics; FORTRAN; MATLAB; SPSS; PERFORMANCE ANALYSIS; THERMAL STORAGE; AIR-FLOW; DRYER; SIMULATION; VALIDATION; PREDICTION; JAGGERY; ENERGY;

D O I：

10.1016/j.rser.2015.07.025

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This review paper is focused on the application of software in solar drying systems. The application of software is very important to develop and analyze the mathematical models and predicting the performance of different kinds of solar drying systems. It is also useful for predicting the crop temperature, moisture content and drying rate, drying kinetics, and color of the crop. Computational fluid dynamics can be used for the analysis and investigation of air flow and temperature distribution pattern through appropriate simulation with the help ANSYS and FLUENT. MATIAB and FORTRAN are very useful tools to develop mathematical models for prediction the crop temperature, air temperature, the moisture evaporated. It is also very useful for training and testing of various models. For statistical data analysis, statistical software SPSS, Sigma Plot V and Statistica. All recent employed software and their utility in solar drying systems are emphasized in this communication. This comprehensive review of the various software applications in different solar drying systems is useful for academician, scientist and researchers. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：1326 / 1337

页数：12

共 40 条

[21] Leon MA, 2002, RENEW SUST ENERG REV, V6, P367, DOI 10.1016/S1364-0321(02)00005-9
[22] Lotfalian A., 2010, World Applied Sciences Journal, V8, P364
[23] Mahapatra A. K., 1994, International Journal of Ambient Energy, V15, P195, DOI 10.1080/01430750.1994.9675654
[24] Simulation of air movement in a dryer by computational fluid dynamics: Application for the drying of fruits
Mathioulakis, E
Karathanos, VT
Belessiotis, VG
[J]. JOURNAL OF FOOD ENGINEERING, 1998, 36 (02) : 183 - 200
[25] Mathematical modeling of thin layer drying of pistachio by using solar energy
Midilli, A
Kucuk, H
[J]. ENERGY CONVERSION AND MANAGEMENT, 2003, 44 (07) : 1111 - 1122
[26] Application of artificial neural network for the prediction of jaggery mass during drying inside the natural convection greenhouse dryer
Prakash, Om
Kumar, Anil
[J]. INTERNATIONAL JOURNAL OF AMBIENT ENERGY, 2014, 35 (04) : 186 - 192
[27] ANFIS modelling of a natural convection greenhouse drying system for jaggery: an experimental validation
Prakash, Om
Kumar, Anil
[J]. INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2014, 33 (02) : 316 - 335
[28] Solar greenhouse drying: A review
Prakash, Om
Kumar, Anil
[J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 29 : 905 - 910
[29] Historical Review and Recent Trends in Solar Drying Systems
Prakash, Om
Kumar, Anil
[J]. INTERNATIONAL JOURNAL OF GREEN ENERGY, 2013, 10 (07) : 690 - 738
[30] Modelling and experimental investigation of a pilot plant for solar wood drying
Reuss, M
Benkert, S
Aeberhard, A
Martina, P
Raush, G
Rentzell, BV
Sogari, N
[J]. SOLAR ENERGY, 1997, 59 (4-6) : 259 - 270

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