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Mathematical Modeling of Drying Processes of Selected Fruits and Vegetables
Author(s) -
Reppich Marcus,
Jegla Zdeněk,
Grondinger Jakob,
Azouma Yaovi Ouézou,
Turek Vojtěch
Publication year - 2021
Publication title -
chemie ingenieur technik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 36
eISSN - 1522-2640
pISSN - 0009-286X
DOI - 10.1002/cite.202100029
Subject(s) - goodness of fit , residual , regression analysis , environmental science , moisture , process engineering , statistical model , mathematics , pulp and paper industry , agricultural engineering , statistics , biological system , chemistry , engineering , algorithm , organic chemistry , biology
This study investigates the behavior of fruit and vegetable samples during drying. The experimental data are fitted to several different thin‐layer drying models. Regression analysis is used to determine model parameters, while statistical indicators serve to evaluate the goodness of fit. The power function model gives the best fit for all examined samples. Based on this model, different drying and heat storage technologies can be combined to ensure that the required residual moisture content of an agricultural product is reached. It is demonstrated on the case of a specific Togolese processing plant that under favorable conditions, fossil fuel consumption can be decreased by 33 %.