Modeling of a convective-infrared kiwifruit drying process

被引：63

作者：

Ozdemir, M. Bahadir ^{[1
]}

Aktas, Mustafa ^{[1
]}

Sevik, Seyfi ^{[2
]}

Khanlari, Ataollah ^{[3
]}

机构：

[1] Gazi Univ, Technol Fac, Energy Syst Engn, Ankara, Turkey

[2] Hitit Univ, Vocat Sch Tech Sci Elect & Energy, Corum, Turkey

[3] Gazi Univ, Nat & Appl Sci Inst, Ankara, Turkey

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2017年 / 42卷 / 28期

关键词：

Infrared system; Heat recovery; Energy consumption; Drying kinetics; ANN; Kiwifruit; PERFORMANCE ANALYSIS; HEAT-PUMP; HOT AIR; DRYER; KINETICS; ENERGY; RADIATION; SLICES;

D O I：

10.1016/j.ijhydene.2017.01.012

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

This paper aims to evaluate the experimental performance of a convective-infrared system with heat recovery (CIRHR) at different drying temperatures (40, 45, 50 and 55 degrees C) and 0.5 m/s air velocity and also to discuss and predict the performance of system on energy consumption and drying kinetics of sliced kiwifruit using artificial neural networks (ANNs). The energy efficiency values were obtained between 2.85% and 32.17%. The ANN model was used to predict the energy consumption of the system and moisture content of the kiwifruit. The back-propagation learning algorithm with Levenberg-Marquardt (LM) and Fermi transfer function were used in the network. The coefficient of determination (R-2), the root means square error (RMSE) and the mean absolute percentage error (MAPE) were calculated as 0.99, 0.001 and 0.34, respectively. It can be concluded that predicted values are in good agreement with experimental results. (C) 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：18005 / 18013

页数：9

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