Evaluation of a simulation model in predicting the drying parameters for deep-bed paddy drying

Zare, Dariush and Chen, Guangnan (2009) Evaluation of a simulation model in predicting the drying parameters for deep-bed paddy drying. Computers and Electronics in Agriculture, 68 (1). pp. 78-87. ISSN 0168-1699

Abstract

A simulation model for deep-bed batch drying of paddy was developed to predict the profiles of grain moisture content, grain temperature, air temperature and air humidity during the drying process. In order to evaluate the validity of this model, a laboratory-scale deep-bed batch dryer was designed and fabricated. Comprehensive drying experiments were carried out in three replications under different drying conditions with two independent drying variables, namely, drying air temperature (at two levels of 45 and 50 ◦C) and air mass flow rate (at three levels of 0.1, 0.16 and 0.22 kgm−2 s−1). Good agreement was found between the simulation results and the experimental data. After validation of the model, the dryer performance was optimized by minimizing specific energy consumption under identical moisture removal using the simulation model. Based on this criterion, the treatment with mass flow rate of 0.03 kgm−2 s−1 and air temperature of 35 ◦C was found to be the optimal drying condition.


Statistics for USQ ePrint 6562
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Awaiting author's version, which may be deposited in accordance with the publisher's copyright policy.
Depositing User: Dr Guangnan Chen
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 08 Mar 2010 00:15
Last Modified: 23 Jul 2014 01:16
Uncontrolled Keywords: paddy; deep-bed; simulation model; energy optimization
Fields of Research (FOR2008): 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070307 Crop and Pasture Post Harvest Technologies (incl. Transportation and Storage)
09 Engineering > 0999 Other Engineering > 099901 Agricultural Engineering
07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070302 Agronomy
Socio-Economic Objective (SEO2008): B Economic Development > 82 Plant Production and Plant Primary Products > 8204 Summer Grains and Oilseeds > 820402 Rice
Identification Number or DOI: doi: 10.1016/j.compag.2009.04.007
URI: http://eprints.usq.edu.au/id/eprint/6562

Actions (login required)

View Item Archive Repository Staff Only