Modelagem e simulação do processo de resfriamento de grãos armazenados em silos graneleiros por meio das leis de conservação de energia e massa

• Autor(a) principal: Rocha, Keller Sullivan Oliveira
• Data de Publicação: 2012
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/710
• topic: Grãos; Silos graneleiros; Processo de resfriamento; Grain; Grain stored; Cooling process; CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA

This work aimed at the modeling of the interaction of the fluid and porous matrix, including the coupling between the mathematical equations of heat transfer in the solid fluid phases for cooling and, or, heating process of stored grains. The experimental data allowed validating the model implemented in Computational Fluid Dynamics and characterizing the heat and mass transfer within the grain mass. Simulated conditions of the air used in aeration allowed to establish, computationally, the appropriate temperature and relative humidity the grain mass aeration. These procedures allow predicting conditions in certain scenarios and make it possible to minimize losses caused by infestation of insects and the use of electric energy by using intelligent control system which can be simulated for various environmental situations. These simulations allow for designing optimized aeration systems. This work consisted of the following steps: (1) Construction of a prototype for testing and validation of the model; (2) Implementation of a computational model of heat, mass and momentum transfer for simulating enclosures (casing) to protect the temperature and relative humidity sensors; (3) Implementation of a computational model of heat, mass and momentum transfer for simulation cooling (or heating) systems in horizontal (graneleiro) bins using computational fluid dynamics; (4) Simulation of the cooling process of the grain mass stored in horizontal bins (graneleiros) in two scenarios and analysis of the parameters model for system optimization. The simulation results allow evaluating the performance of the cooling process of the grain mass.