scholarly journals Energy and Exergy Analyses of a Combined Infrared Radiation-Counterflow Circulation (IRCC) Corn Dryer

2020 ◽  
Vol 10 (18) ◽  
pp. 6289
Author(s):  
Chengjie Li ◽  
Bin Li ◽  
Junying Huang ◽  
Changyou Li
Keyword(s):  
Energy Efficiency ◽  
Heat Loss ◽  
Radiant Energy ◽  
Current Status ◽  
Drying Process ◽  
Heat Loss Rate ◽  
Energy And Exergy ◽  
Drying System ◽  
Drying Technology ◽  
Exergy Analyses

Energy consumption performance evaluation of an industrial grain dryer is an essential step to check its current status and to put forward suggestions for more effective operation. The present work proposed a combined IRCC dryer with drying capacity of 4.2 t/h that uses a novel drying technology. Moreover, the existing energy–exergy methodology was applied to evaluate the performance of the dryer on the basis of energy efficiency, heat loss characteristics, energy recovery, exergy flow and exegetic efficiency. The results demonstrated that the average drying rate of the present drying system was 1.1 gwater/gwet matter h. The energy efficiency of the whole drying system varied from 2.16% to 35.21% during the drying process. The overall recovered radiant energy and the average radiant exergy rate were 674,339.3 kJ and 3.54 kW, respectively. However, the average heat-loss rate of 3145.26 MJ/h indicated that measures should be put in place to improve its performance. Concerning the exergy aspect, the average exergy rate for dehydration was 462 kW and the exergy efficiency of the whole drying system ranged from 5.16% to 38.21%. Additionally, the exergy analysis of the components indicated that the combustion chamber should be primarily optimized among the whole drying system. The main conclusions of the present work may provide theoretical basis for the optimum design of the industrial drying process from the viewpoint of energetics.

scholarly journals Energy and exergy analyses of okra drying process in a forced convection cabinet dryer

2021 ◽  
Author(s):  
Abiodun Okunola ◽  
Timothy Adekanye ◽  
Endurance Idahosa
Keyword(s):  
Energy Efficiency ◽  
Forced Convection ◽  
Drying Process ◽  
Data Logger ◽  
Air Velocity ◽  
Load Rate ◽  
Energy And Exergy ◽  
Lower Load ◽  
Exergy Analyses ◽  
Exergy Losses

A forced convection automatic cabinet dryer integrated with a data logger was designed and fabricated. The okra samples were dried in the dryer at drying temperatures of 50, 60, and 70 °C and at three different load densities of 200, 300, and 400 g at a continuous air velocity of 0.7 m·s<sup>–1</sup>. Energy and exergy analyses of the drying process were performed. The obtained results showed that the energy efficiency, energy utilisation, and utilisation ratio increased from 26.59 to 68.24%, 5.47 to 114.36 W, and 0.36 to 0.71 as the temperature increased to 70 °C, respectively. The inflow, outflow, and exergy losses were in the range of 7.02 to 26.14 W, 4.43 to 14.16 W, and 2.59 to 11.98 W, respectively, while exergy efficiency varied from 49.15 to 63.47%. The findings show that exergy efficiencies decrease with an increase in the drying temperature, but increase with a lower load rate. The index of sustainability varies from 2.14 to 2.77, the value increases as the load density decreases while it decreases with a temperature increment.

scholarly journals Study on the Variable-Temperature Drying Process of Corn Drying in an Industrial Corn-Drying System Equipped with a Self-Adaptive Control Heat Exchanger

2021 ◽  
Vol 11 (6) ◽  
pp. 2772
Author(s):  
Bin Li ◽  
Zhiheng Zeng ◽  
Xuefeng Zhang ◽  
Ye Zhang
Keyword(s):  
Adaptive Control ◽  
Energy Consumption ◽  
Heat Loss ◽  
Thermal Performance ◽  
Variable Temperature ◽  
The Other ◽  
Drying Process ◽  
Drying Kinetic ◽  
Drying System ◽  
Self Adaptive

To realize energy-saving and efficient industrial grain drying, the present work studied the variable-temperature drying process of corn drying in a novel industrial corn-drying system with a heat recycling and self-adaptive control function. The drying kinetics, thermal performance, heat-loss characteristics and the heat-recycling performance of the drying system under different allocations between flue gas and hot air were investigated, and the optimized drying process was proposed and compared with two constant drying processes. The results showed that the optimized drying process exhibited better drying kinetic and thermal performance than the two constant drying processes. More specifically, the total heat loss, total energy consumption and specific energy consumption of the optimized drying process were ascertained to be 36,132.85 MJ, 48,803.99 MJ and 7290.27 kJ/kg, respectively, which were lower than those of the other two processes. On the other hand, the thermal efficiency of the drying chamber for the optimized drying process was ascertained to be varied within the range of 6.81–41.71%. Overall, the validation results showed that the optimized drying process can significantly improve the drying performance of the drying system.

scholarly journals Energy and Exergy Analyses of Tube Banks in Waste Heat Recovery Applications

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2094 ◽  
Author(s):  
Mustafa Erguvan ◽  
David MacPhee
Keyword(s):  
Energy Efficiency ◽  
Reynolds Number ◽  
Heat Recovery ◽  
Waste Heat ◽  
Cross Flow ◽  
Exergy Efficiency ◽  
Circular Cylinders ◽  
Published Data ◽  
Energy And Exergy ◽  
Exergy Analyses

In this study, energy and exergy analyses have been investigated numerically for unsteady cross-flow over heated circular cylinders. Numerous simulations were conducted varying the number of inline tubes, inlet velocity, dimensionless pitch ratios and Reynolds number. Heat leakage into the domain is modeled as a source term. Numerical results compare favorably to published data in terms of Nusselt number and pressure drop. It was found that the energy efficiency varies between 72% and 98% for all cases, and viscous dissipation has a very low effect on the energy efficiency for low Reynolds number cases. The exergy efficiency ranges from 40–64%, and the entropy generation due to heat transfer was found to have a significant effect on exergy efficiency. The results suggest that exergy efficiency can be maximized by choosing specific pitch ratios for various Reynolds numbers. The results could be useful in designing more efficient heat recovery systems, especially for low temperature applications.

Energy and exergy analyses in drying process of porous media using hot air

2010 ◽  
Vol 37 (4) ◽  
pp. 372-378 ◽  
Author(s):  
Ratthasak Prommas ◽  
Phadungsak Rattanadecho ◽  
Dulyachot Cholaseuk
Keyword(s):  
Porous Media ◽  
Drying Process ◽  
Hot Air ◽  
Energy And Exergy ◽  
Exergy Analyses

scholarly journals CLASSIFICATION OF THE ENERGY AND EXERGY OF MICROWAVE DRYERS IN DRYING KIWI USING ARTIFICIAL NEURAL NETWORKS

2019 ◽  
pp. 29-44
Keyword(s):  
Neural Network ◽  
Energy Efficiency ◽  
Artificial Neural Network ◽  
Energy Loss ◽  
Neural Network Model ◽  
Artificial Neural Network Model ◽  
Drying Process ◽  
Percent Correct ◽  
Energy And Exergy ◽  
Artificial Neural

ABSTRACT This investigation uses the artificial neural network model to classify the energy and exergy of the kiwi drying process in a microwave dryer. In this experiment, classification was carried out separately for various pretreatments and microwave powers using three pretreatments (oven, ohmic, and control treatments) and microwave power values (360, 600, and 900W), and the artificial neural network model. Classification was done using 5 different input data groups. The first group included the overall data (energy efficiency, special energy loss, exergy efficiency, and exergy loss), while the second to fifth groups included the data on the exergy efficiency, special energy loss, energy efficiency and special exergy loss in the order mentioned, which served as the classification inputs. Considering the results, the best R and Percent Correct values for the oven (Percent Correct=90 – R=0.709) and ohmic (Percent Correct=83.33– R=0.846) pretreatments were obtained. The values of this parameters were also calculated for the control (Percent Correct=71.43 – R=0.843), the 360W power (Percent Correct=92.86 – R=0.9975), the 600W power (Percent Correct=100 – R=0.9124), and the 900W power (Percent Correct=100 – R=0.9685). The overall data was used in the classification phase. In addition, the maximum correctly detected data for the oven, ohmic, and pretreatment was 18 (20 items), 15 (18 items), and 5 (7 items), respectively. The maximum correctly detected data for the 360W power, 600W power, and 900W power levels was 13 (14 items), 15 (15 items), and 16 (16 items), respectively. In sum, the neural network using the overall data input displayed acceptable efficiency in classifying the energy and exergy data of the kiwi drying process in microwave dryers

Energy and exergy analyses of solar drying system of red seaweed

2014 ◽  
Vol 68 ◽  
pp. 121-129 ◽  
Author(s):  
Ahmad Fudholi ◽  
Kamaruzzaman Sopian ◽  
Mohd Yusof Othman ◽  
Mohd Hafidz Ruslan
Keyword(s):  
Red Seaweed ◽  
Solar Drying ◽  
Energy And Exergy ◽  
Drying System ◽  
Exergy Analyses

scholarly journals Energy and exergy analyses of an industrial wood chips drying process

2009 ◽  
Vol 4 (4) ◽  
pp. 224-229 ◽  
Author(s):  
C. Coskun ◽  
M. Bayraktar ◽  
Z. Oktay ◽  
I. Dincer
Keyword(s):  
Wood Chips ◽  
Drying Process ◽  
Energy And Exergy ◽  
Exergy Analyses

Energy and exergy analyses of carob pulp drying system based on a solar collector

2021 ◽  
Vol 163 ◽  
pp. 495-503 ◽  
Author(s):  
Zakaria Tagnamas ◽  
Hamza Lamsyehe ◽  
Haytem Moussaoui ◽  
Younes Bahammou ◽  
Mounir Kouhila ◽  
...  
Keyword(s):  
Solar Collector ◽  
Energy And Exergy ◽  
Drying System ◽  
Exergy Analyses

Energy and exergy analyses of the spray drying process of fish oil microencapsulation

2012 ◽  
Vol 111 (2) ◽  
pp. 229-241 ◽  
Author(s):  
Mortaza Aghbashlo ◽  
Hossien Mobli ◽  
Shahin Rafiee ◽  
Ashkan Madadlou
Keyword(s):  
Fish Oil ◽  
Spray Drying ◽  
Drying Process ◽  
Energy And Exergy ◽  
Exergy Analyses
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