Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10495/35651
Título : Design of a top-lit up-draft micro-gasifier biomass cookstove by thermodynamic analysis and fluent modeling
Autor : De La Hoz Cartagena, Keily Andrea
Pérez Bayer, Juan Fernando
Chica Arrieta, Edwin Lenin
metadata.dc.subject.*: Biomass stoves
Estufas de biomasa
Computational fluid dynamics
Dinámica de fluidos computacional
Thermodynamics
Termodinámica
Design
Diseño
Fecha de publicación : 2017
Editorial : International Journal of Renewable Energy Research
Resumen : ABSTRACT: In this work the complete thermo-mechanicaldesign of a biomass top-lit up-draft(TLUD) cookstoveis presented. A design methodology which isbased on mass and energy balances,geometry relations amongthe main dimensions of the cookstove,and fluent modelingis proposed. Threemodelsweredesigned, sized, and simulatedthrough computational fluiddynamics (CFD)conducted in ANSYS Fluent 15.0.7. These designs allowed analyzingthe effect of cookstove design, primary and secondary air inlets (diameter and air supply setup) required inthe gasification and combustion processes, respectively.Simulations indicatedthat compressed air is not a suitableway to supply the air flow for gasification and combustionstages, due to the poorvelocitydistribution across the grate and secondary holes. Therefore,the final stove design will operate with axial fansto favor a good mixture between biomass and the air in the gasification stage, and between producergas and the air in thecombustion zone. Operation with axial fans,in the final cookstove design,allowedobtaininga lowstandard deviation of air velocity through the grate holes and through secondary air ring holes (±0.13 m/s, and ±0.45 m/s, respectively), which entails a better cookstove performance. This air supply system,also presented combustion air velocities through the secondary ring holes according to theones reported in the literature (3.02 m/s), which isimportant for the suitable air and producer gas mixing.
ISSN : 1309-0127
metadata.dc.identifier.doi: 10.20508/ijrer.v7i4.6268.g7265
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