scholarly journals Energy Model of Grain Drying System

2017 ◽  
Vol 5 (2) ◽  
pp. 43 ◽  
Author(s):  
Somchart Soponronnarit
Keyword(s):  
Energy Model ◽  
Grain Drying ◽  
Drying System

Energy Model of Grain Drying System

Exergy analysis of an electric grain drying system with internal circulation of the drying medium of corn

2022 ◽  
Vol 37 (1) ◽  
pp. 102
Author(s):  
Guiying Wang ◽  
Wenfu Wu ◽  
Wen Xu ◽  
Yan Xu ◽  
Yaqiu Zhang ◽  
...  
Keyword(s):  
Exergy Analysis ◽  
Internal Circulation ◽  
Grain Drying ◽  
Drying System

scholarly journals Numerical Simulation and Experimental Study of Deep Bed Corn Drying Based on Water Potential

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Zhe Liu ◽  
Zidan Wu ◽  
Xiaomeng Wang ◽  
Jia Song ◽  
Wenfu Wu
Keyword(s):  
Numerical Simulation ◽  
Water Potential ◽  
Influential Factor ◽  
Vacuum Drying ◽  
Agricultural Field ◽  
Application Range ◽  
Grain Drying ◽  
Drying System ◽  
Drying Model ◽  
And Storage

The concept and the model of water potential, which were widely used in agricultural field, have been proved to be beneficial in the application of vacuum drying model and have provided a new way to explore the grain drying model since being introduced to grain drying and storage fields. Aiming to overcome the shortcomings of traditional deep bed drying model, for instance, the application range of this method is narrow and such method does not apply to systems of which pressure would be an influential factor such as vacuum drying system in a way combining with water potential drying model. This study established a numerical simulation system of deep bed corn drying process which has been proved to be effective according to the results of numerical simulation and corresponding experimental investigation and has revealed that desorption and adsorption coexist in deep bed drying.

scholarly journals Assessment of a Low Temperature Closed-Cycle Grain Drying System

2019 ◽  
Vol 8 (2) ◽  
pp. 80
Author(s):  
Mingjun Ma ◽  
Kurt A. Rosentrater
Keyword(s):  
Seed Germination ◽  
Low Temperature ◽  
Drying Methods ◽  
Water Removal ◽  
Closed Cycle ◽  
Pump System ◽  
Heat Pump System ◽  
Grain Drying ◽  
Drying System ◽  
Drying Efficiency

This study analyzed the drying efficiency of a prototype low temperature closed-cycle grain drying system. The main principle of this drying system was the heat pump system working as a dehumidifier. The main component of this drying equipment included a compressor, a condenser, twin evaporators, and a fan. Two drying studies (denoted as trial 1 and trial 2) were conducted to assess the overall drying performance of this low temperature drying system. To calculate the drying efficiency, the total energy consumption was divided by the amount of water removal for each trial; the drying efficiency was reported in the form of Btu/lb of water removal. We also tested corn seed germination to determine if this drying process had an effect on seed germination performance. The drying efficiency results for trial 1 and 2 were 1036 Btu/lb water removal and 869 Btu/lb water removal, respectively; compared to other on-farm drying methods this drying system had fairly high drying efficiency. The germination test results showed that this drying system had no adverse effect on germination performance.

Exergy analysis of an electric grain drying system with internal circulation of the drying medium of corn

2022 ◽  
Vol 37 (1) ◽  
pp. 102
Author(s):  
Daping Fu ◽  
Yaqiu Zhang ◽  
Yan Xu ◽  
Guiying Wang ◽  
Wenfu Wu ◽  
...  
Keyword(s):  
Exergy Analysis ◽  
Internal Circulation ◽  
Grain Drying ◽  
Drying System

Experimental simulation of a grain drying system

1994 ◽  
Vol 35 (5) ◽  
pp. 453-458 ◽  
Author(s):  
G.N. Tiwari ◽  
A.K. Singh ◽  
P.S. Bhatia
Keyword(s):  
Experimental Simulation ◽  
Grain Drying ◽  
Drying System

scholarly journals IMPROVEMENT OF THE AUTOMATED GRAIN DRYING SYSTEM WITHOUT CHANGING

2020 ◽  
Vol 3 (2-2) ◽  
pp. 105-112
Author(s):  
L.P. GOLUBEV ◽  
I.L. KIVA
Keyword(s):  
Grain Drying ◽  
Drying System

Development of an Eighth-scale Grain Drying System with Real-time Microwave Monitoring of Moisture Content

2019 ◽  
Vol 35 (5) ◽  
pp. 767-774
Author(s):  
Micah A. Lewis ◽  
Samir Trabelsi ◽  
Stuart O. Nelson
Keyword(s):  
Relative Humidity ◽  
Moisture Content ◽  
Real Time ◽  
Real Time Monitoring ◽  
Seed Moisture Content ◽  
Moisture Sensor ◽  
Grain Moisture ◽  
Cereal Grain ◽  
Grain Drying ◽  
Drying System

Abstract. After being harvested, cereal grain and oilseed are stored and dried in large cylindrical storage bins. Drying is necessary to prevent spoilage and degradation; however, because of the significant depth of material in the drying bin, a common problem in grain and oilseed drying is overdrying the bottom layer while trying to dry the top layer. This is due to insufficient knowledge of moisture throughout the bin. In some cases, an operator is limited to probing reachable locations to determine moisture content. However, this does not lend to observing the dynamics of moisture content within the bin continuously, and the lower layers of grain or seed within the bin are susceptible to being overdried. Temperature and/or moisture cables to monitor conditions throughout the bin are more widely used. These sensors use a correlation between grain moisture content and temperature and relative humidity. However, error in moisture content determination increases greatly at high relative humidity and/or temperature. By using a microwave moisture sensor operating at 5.8 GHz, developed within USDA ARS, the moisture content of the cereal grain or oilseed can be measured continuously, providing real-time moisture content with 12-s resolution. An automated, eighth-scale grain drying system was developed utilizing temperature and relative humidity sensors at different heights within the grain bin and the microwave moisture sensor to observe drying parameters and moisture migration as the grain or seed dried. Grain and seed moisture content was determined in real-time with a standard error of calibration of = 0.54% moisture content when compared to the reference oven-drying method. Overall evaluation showed that the automated grain drying system is an effective solution for real-time monitoring of moisture content and other parameters during drying. Keywords: Dielectric properties, Grain drying bin, Moisture content, Microwave sensing, Real-time monitoring, Sensors.

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