Cover Image

Análise da influência de modelos de turbulência e de cinética química nasimulação de uma chama de hidrogênio

In a scenario of increasing hydrogen demand in the global energy matrix as a solution to mitigate the impacts of climate change, Brazil emerges as a potential large-scale producer. This study conducted a computational analysis of a hydrogen diffusion flame, contributing tothe development and optimiz...

Full description

Saved in:
Main Authors: Marques Sampaio, Heton Carlos, Schembek Silva, Jhoni Anderson, Michue Davila, Evelyn Thalia, Velasquez Alegre, Jose Antonio Andres, Moura de Oliveira, Mona Lisa, Valente Bueno, André
Format: Article
Language:Portuguese
Published: 2024
Subjects:
Combustão
Dinâmica dos Fluidos Computacional
Emissões
Chamas Difusivas
Combustion
Computational Fluid Dynamics
Emissions
Diffusion Flames
Combustión
Dinámica de Fluidos Computacional
Emisiones
Llamas Difusivas
Online Access:https://dialnet.unirioja.es/servlet/oaiart?codigo=10265526
Tags: Add Tag
No Tags, Be the first to tag this record!
Summary:In a scenario of increasing hydrogen demand in the global energy matrix as a solution to mitigate the impacts of climate change, Brazil emerges as a potential large-scale producer. This study conducted a computational analysis of a hydrogen diffusion flame, contributing tothe development and optimization of designs. The research investigated the influence of chemical kinetics models, with different levels of complexity, and turbulence models on the prediction of flame behavior in terms of emissions and average temperature.The methodology used the ANSYS-Fluent software with an unstructured hexahedral mesh to simulate a turbulent hydrogen diffusion flame. The GRI Mech 3.0 mechanism and that of Conaire et al. (2004) were compared, combined with the k-ω SST and standard k-ε turbulence models. The results indicated different performances between the turbulence models, with the k-ω SST performing better in the prediction of O2 and overall results. The k-ε model showed better accuracy for NO2 and OH curves. In general, all configurations overestimated species generation and consumption values as well as temperature.The research highlights the importance of a careful approach in selecting models for predicting complex phenomena, with significant implications for the development of more efficient technologies in using hydrogen as a fuel.

Similar Items