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Optimization of process parameters of fluidized bed biomass combustor using CFD modeling

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dc.contributor.advisor Narayana M
dc.contributor.advisor Amarasinghe ADUS Wickramasinghe DGC 2018 2018 2018
dc.description.abstract The present work is focused on mathematical modelling of fluidized bed combustion of biomass by means of computational fluid dynamics (CFD). Introducing a stable CFD solver for combustion of solid fuel with Large-Eddy Simulation (LES) turbulence modeling and diffusion corrective velocity is the novelty of this study. A great part of the work is devoted to development of a reliable algorithm to solve the fluidized bed combustion model and to improve the accuracy of simulation results. A three-dimensional transient model is developed with a special emphasis on the conservativeness property of energy and mass. The second part of the work is devoted to development of C++ libraries for the open source CFD tool kit OpenFOAM for coupling fluidized bed model with gas phase combustion. The created CFD solver has capability to adept with wide range of application of fluidized bed combustion. The presented results contribute to better understanding of numerical modelling and simulation of fluidized bed combustion, especially optimizing of combustor geometries. The performance of fluidized bed biomass combustor depends on the turbulence of freeboard. The optimum amount of secondary air ratio is 1.6%, which gives higher freeboard temperature while maintaining minimum emission. The optimum excess air ratio is 10% for 0.1125 kg/h. In the case of suspension combustion, maximum combustor temperature has been obtained for optimum airflow, which was 5.5 ms-1 of inlet air velocity for a 0.00171 kg/s of fuel feeding rate (65% amount of excess air). en_US
dc.language.iso en en_US
dc.subject COMBUSTORS-Fluidized Bed en_US
dc.subject BIOMASS en_US
dc.subject COMBUSTION en_US
dc.title Optimization of process parameters of fluidized bed biomass combustor using CFD modeling en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty Engineering en_US Msc in Chemical & Process Engineering by research en_US
dc.identifier.department Department of Chemical and Process Engineering en_US 2018
dc.identifier.accno TH3773 en_US

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