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Energy – exergy analysis and mathematical modeling of cassava starch drying using a hybrid solar dryer
(Article), , , ,
Department of Chemical Engineering, Faculty of Engineering, Jl. Prof.Soedarto, SH-Tembalang,, Diponegoro University, Semarang, 50271, Indonesia
School of Postgraduate Studies, Jl. Imam Bardjo, SH-Tembalang,, Diponegoro University, Semarang, 50241, Indonesia
Abstract
In this study, we aimed to energetically and exergetically evaluate the usage of a hybrid solar dryer system for cassava drying via a series of drying experiments. The experiments were performed beginning at . A.M. (hereafter, in local time) until the moisture content of cassava starch became constant at a value less than % on a wet basis at drying temperatures of °C to °C and drying times of – min. The results demonstrated that the highest overall dryer energetic efficiency was . %, which was achieved at a drying temperature at °C, and that the maximum energetic efficiency of % was recorded at . A.M. The exergy flows fluctuated during the drying process and were dependent on the solar radiation and drying conditions; however, the exergetic efficiency of the dryer was . %–
. %. Comparison of the fitting models denoted that the Page model was the most suitable model for describing the experimental drying performances. The calculated effective diffusivity constant (D ) and the activation energy (E ) during the drying process from °C to °C were ·× m /s and . kJ/mole, respectively. © , © The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) . license.
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cassava starch energy exergy hybrid solar dryer mathematical modeling
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This work was supported by research grants provided by the Ministry of Research, Technology, and Higher Education of Indonesia for funding this research.
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Open Access Cogent Engineering
Volume 7, Issue 1, 1 January 2020, Article number 1771819
Suherman, S.a Susanto, E.E.a Zardani, A.W.a Dewi, N.H.R.a Hadiyanto, H.a,b
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Thin-Layer Drying | High Temperature Air | Solar Dryers
ISSN: 23311916 Source Type: Journal Original language: English
DOI: 10.1080/23311916.2020.1771819 Document Type: Article
Publisher: Cogent OA
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