The optimization of solar drying of grain by using a genetic algorithm

Rahman, M.M. and Mustayen, A.G.M.B. and Mekhilef, S. and Saidur, R. (2015) The optimization of solar drying of grain by using a genetic algorithm. International Journal of Green Energy, 12 (12). pp. 1222-1231. ISSN 1543-5075

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Abstract

Particularly in the low drying temperature drying is an energy intensive process and requires a suitable optimization technique. This work represents the kinetic simulation and energy efficient optimization technique for drying long grain, i.e. rice. At 30-60 degrees C temperature the grains have been dried in a solar powered air dryer. After certain time interval the enzymatic activity and the moisture content have been measured. Genetic Algorithm (GA) has been used for the simulation and the optimization process while the experimental data have been used to fit the thin layer drying model. The results indicate that between 40 and 50 degrees C temperature and the 1.3-1.5 m/s air flow rate the drying time for the rice is around 120-180 min. The kinetic simulation and the quality analysis confirm that the dried products have a better enzymatic activity which resembles the quality standard and the required energy for the optimized drying process is lower than the others.

Item Type: Article
Additional Information: ISI Document Delivery No.: CM7IA Times Cited: 0 Cited Reference Count: 32 Cited References: Aghbashlo M, 2011, DRY TECHNOL, V29, P770, DOI 10.1080/07373937.2010.538819 Basunia MA, 2001, J STORED PROD RES, V37, P205, DOI 10.1016/S0022-474X(00)00022-9 Billiris MA, 2011, J FOOD ENG, V107, P253, DOI 10.1016/j.jfoodeng.2011.06.015 Cai JM, 2008, DRY TECHNOL, V26, P1464, DOI 10.1080/07373930802412116 Chavan BR, 2008, DRY TECHNOL, V26, P1552, DOI 10.1080/07373930802466872 Chen Q, 2013, INT J HEAT MASS TRAN, V63, P65, DOI 10.1016/j.ijheatmasstransfer.2013.03.019 Dharmaraj U, 2015, J FOOD SCI TECH MYS, V52, P1361, DOI 10.1007/s13197-013-1159-8 DOEHLERT DC, 1983, PLANT PHYSIOL, V71, P229, DOI 10.1104/pp.71.2.229 Dziedzoave NT, 2010, FOOD CONTROL, V21, P162, DOI 10.1016/j.foodcont.2009.05.005 El-Sebaii AA, 2011, APPL ENERG, V88, P1727, DOI 10.1016/j.apenergy.2010.11.017 Fathi M, 2011, DRY TECHNOL, V29, P918, DOI 10.1080/07373937.2011.553755 Garousi V., 2008, P 10 ANN C GEN EV CO Ghali K, 2011, INT J GREEN ENERGY, V8, P81, DOI 10.1080/15435075.2010.529782 Gill R. S., 2012, J FOOD SCI TECHNOL, P1, DOI 10.1007/s13197-012-0865-y, DOI 10.1007/S13197-012-0865-Y Janjai S, 2009, DRY TECHNOL, V27, P595, DOI 10.1080/07373930802716383 Jayas DS, 2003, FOOD CONTROL, V14, P255, DOI 10.1016/S0956-7135(03)00014-8 Khatib T, 2011, INT J GREEN ENERGY, V8, P795, DOI 10.1080/15435075.2011.602156 Klinkman P. M., 2013, US Patent, Patent No. 8,408,199, 8408199 Kumar R, 2010, J FOOD SCI TECH MYS, V47, P335, DOI 10.1007/s13197-010-0054-9 Midilli A, 2002, DRY TECHNOL, V20, P1503, DOI 10.1081/DRT-120005864 Morita S., 2004, JAPANESE J CROP SCI, V73 Omid M, 2009, DRY TECHNOL, V27, P1069, DOI 10.1080/07373930903218602 Polat K, 2012, DRY TECHNOL, V30, P185, DOI 10.1080/07373937.2011.630496 Prakash O, 2013, INT J GREEN ENERGY, V10, P690, DOI 10.1080/15435075.2012.727113 Rooney R., 2003, ENCY FOOD SCI NUTR, P2682 Sagar VR, 2010, J FOOD SCI TECH MYS, V47, P15, DOI 10.1007/s13197-010-0010-8 Shaw J.-F., 1995, BOT B ACAD SINICA, V36 Simsek S, 2012, FOOD CONTROL, V26, P287, DOI 10.1016/j.foodcont.2012.01.056 Srey S, 2013, FOOD CONTROL, V31, P572, DOI 10.1016/j.foodcont.2012.12.001 Ttayagarajan T., 1998, DRYING TECHNOLOGY IN, V16, P931, DOI 10.1080/07373939808917449 Zhou Z, 2002, J CEREAL SCI, V35, P65, DOI 10.1006/jcrs.2001.0418 Zomorodian A, 2007, DESALINATION, V209, P129, DOI 10.1016/j.desal.2007.04.021 Rahman, M. M. Mustayen, A. G. M. B. Mekhilef, Saad Saidur, R. Ministry of Higher Education and University of Malaya UM.C/HIR/MOHE/ENG/16001-00-D000024 The authors would like to thank the Ministry of Higher Education and University of Malaya for providing financial support under the research grant No. UM.C/HIR/MOHE/ENG/16001-00-D000024. 0 TAYLOR & FRANCIS INC PHILADELPHIA INT J GREEN ENERGY
Uncontrolled Keywords: Drying process, enzymatic activity, genetic algorithm, moisture content, optimization, solar energy, artificial neural-network, rice, kinetics, dryer, prediction, behavior, biomass, surface, energy,
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 10 Jun 2016 00:15
Last Modified: 11 Oct 2017 08:49
URI: http://eprints.um.edu.my/id/eprint/15848

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