Drying Characteristics, Kinetic Modeling, Energy and Exergy Analyses of Water Yam (Dioscorea alata) in a Hot Air Dryer

Author:

Okunola Abiodun A.1ORCID,Adekanye Timothy A.1ORCID,Okonkwo Clinton E.2,Kaveh Mohammad3,Szymanek Mariusz4ORCID,Idahosa Endurance O.1,Olayanju Adeniyi T.1,Wojciechowska Krystyna5ORCID

Affiliation:

1. Department of Agricultural and Biosystems Engineering, Landmark University, Omu-Aran P.m.b. 1001, Kwara State, Nigeria

2. Department of Food Science, College of Food and Agriculture, United Arab Emirates University, Al Ain 15551, United Arab Emirates

3. Department of Petroleum Engineering, College of Engineering, Knowledge University, Erbil 44001, Iraq

4. Department of Agricultural, Forest and Transport Machinery, University of Life Sciences in Lublin, Głęboka 28, 20-612 Lublin, Poland

5. Department of Strategy and Business Planning, Faculty of Management, Lublin University of Technology, Nadbystrzycka 38, 20-618 Lublin, Poland

Abstract

In this study, drying characteristics, kinetic modelling, energy and exergy analyses of a convective hot air dryer are presented for water yam. The drying experiments were carried out at temperature levels of 50, 60, and 70°C and slice thicknesses of 3, 6, and 9 mm. The effects of drying variables on the drying rate (DR), moisture diffusivity (Deff), activation energy (Ea), energy utilization (EU), energy utilization ratio (EUR), exergy loss (EXL), exergy efficiency (EXeff), improvement potential (IP), and exergetic sustainability index (ESI) were investigated. The results showed that increasing air temperature increased the DR, Deff, EU, EUR, EXL, EXeff, IP, and ESI, while increasing the slice thickness increased Deff and Ea, but decreased the DR. The highest Deff and Ea values were 4.2 × 10−8 m2/s, and 53 KJ/mol, respectively. EU and EUR varied from 10 to 150 J/s and 0.39 to 0.79, respectively. EXL and EXeff varied between 2 and 12.5 J/s and 58 to 75 %, respectively. Midilli’s model had the best performance in predicting the moisture ratio of water yam with coefficient of determination (R2 = 0.9998), root mean square error (RMSE = 0.0049), and sum of square error (SSE = 0.0023).

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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