Modelagem e simulação de secagem em baixa temperatura para arroz com casca
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Data
2019-02-21
Autores
Venturin, Ana Carla Zucolotto
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Universidade Federal do Espírito Santo
Resumo
Rice is one of the staple foods of the Brazilian and world population. As part of the post-harvest processing, drying is a fundamental step in the preservation of quality, since it can influence the chemical, physical and nutritional properties of the final product. In this sense, the main objective of this research consisted of modeling and simulation of low-temperature paddy drying, in order to evaluate and optimize the process. A model based on the Thompson Model for low-temperatures was developed, which allowed the simulation as a function of psychrometric conditions of ambient air and drying air, drying airflow intensity and dryer specifications. The software "SecaBaixaTemperatura" was validated by comparing the results obtained in simulations with operational data of a real process, collected at Realengo Alimentos Ltda., located in the city of Santo Antônio da Patrulha – RS Brazil, during the 2017/2018 harvest. As a result of the validation, it was verified that the program simulated the process with acceptable accuracy (relative error =15 %) for the evaluated parameters: drying time, final product moisture content and electric and gas consumptions. With the validated program, scenarios were compared to evaluate silo filling strategies. The first phase consisted of comparisons considering initial moisture contents between 16 and 20 %, and the filling in a single parcel and in parcels divided into two, three and five equal quantities. While in the second phase, the following filling strategies were compared for the initial moisture content of 18 %: single parcel and three parcels with different amounts of product in the increasing and decreasing proportions of 70, 20 and 10 %; 60, 20 and 20 %; and 50, 30 and 20 %, respectively. The filling in parcels minimized dry matter losses (DML) and overdrying, besides reducing drying time and energy consumption. Among the scenarios of the first phase, the best results were for the filling in five parcels. For the second phase, the filling in three parcels, in the proportion 20, 20 and 60 %, presented the best results with dry matter losses of 0.5 % and reduction of costs in 1.59 %, when compared to filling in a single parcel.
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Mathematical models , Thompson model , Post-harvest processing , Modelo de Thompson , Grain , Processamento pós-colheita , Cereals , Grãos