Validation and Prediction of Ultra-Low NOx Burner Performance using Computational Fluid Dynamics

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Title Validation and Prediction of Ultra-Low NOx Burner Performance using Computational Fluid Dynamics
Creator Alavandi, S.
Contributor Wissmiller, D., Jatale, A., Sami, M.
Date 2015-09-11
Spatial Coverage Salt Lake City, Utah
Subject 2015 AFRC Industrial Combustion Symposium
Description Paper from the AFRC 2015 conference titled Validation and Prediction of Ultra-Low NOx Burner Performance using Computational Fluid Dynamics
Abstract Computational Fluid Dynamics (CFD) modelling and simulations were performed to evaluate and; predict the performance of an ultra-low NOx burner design. CFD model validation using; experimental results was performed to evaluate model settings and parameters. The validation; showed a good trend agreement with the experimental results and provided confidence in the; model that it can be used to predict the burner performance.; Geometric changes were made to the model and simulations were performed to predict the; performance and emissions of the burner. The CFD model prediction was performed and testing; was conducted for these data points. Results indicated that the prediction trend was in good; agreement with the follow-on experimental testing verifying the robustness of the CFD model to; predict outcomes in an accurate and meaningful way. These results of the model development for; the ultra-low NOx burner will be presented.
Type Event
Format application/pdf
Rights No copyright issues exist
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ARK ark:/87278/s6cc59md
Setname uu_afrc
Date Created 2018-11-30
Date Modified 2018-11-30
ID 1387842
Reference URL https://collections.lib.utah.edu/ark:/87278/s6cc59md