DECAT - Departamento de Controle e Automação

URI permanente desta comunidadehttp://www.hml.repositorio.ufop.br/handle/123456789/490

Navegar

Filtros

2006 - 20082

Configurações

Autor: search.filters.author.Lopes, Daniela de CarvalhoAssunto: search.filters.subject.Aeration

Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
  • Nenhuma Miniatura Disponível
    Item
    Aeration simulation of stored grain under variable air ambient conditions.
    (2006) Lopes, Daniela de Carvalho; Martins, José Helvecio; Melo, Evandro de Castro; Monteiro, Paulo Marcos de Barros
    A simulation model for stored grain aeration was implemented and compared with experimental data. The software, called AERO, is capable of simulating the aeration process in stored grain, with hot spots, using time variant ambient data. Some modifications to the original model proposed by Thorpe [Thorpe, G.R., 1997. Modelling ecosystems in ventilated conical bottomed farm grain silos. Ecol. Modell. 94, 255–286] have been presented. The modified model is simpler, less computer-intensive and maintains the accuracy of the results. Comparing the model with data collected between January and August 2005, it was observed that the simulation results agreed well with real conditions, indicating that this software can reliably predict the aeration process for different world regions.
  • Nenhuma Miniatura Disponível
    Item
    Aeration strategy for controlling grain storage based on simulation and on real data acquisition.
    (2008) Lopes, Daniela de Carvalho; Martins, José Helvecio; Lacerda Filho, Adílio Flauzino; Melo, Evandro de Castro; Monteiro, Paulo Marcos de Barros; Queiroz, Daniel Marçal de
    In this work a new control strategy for grain aeration systems was proposed. This strategy was implemented in a software package called AERO and relates four conditions which depend on real time data acquisition and on the process simulation. The main advantage of AERO controller is that it can be used in different geographic regions, during different seasons and with different aeration systems, automatically adjusting its set points. The objectives of AEROcontroller are to equalize the temperatures inside the bin, to cool the grain mass whenever is possible and to maintain the moisture content under safe conditions. The results showed that the proposed strategy is efficient to achieve these objectives. Moreover, significant energy saving has been achieved with the AERO controller.