High Fuel-Air Ratio (FAR) Combustor Modeling

Roby, Richard J.; Klassen, Michael S.; Vashistat, Diwakar; Joklik, R.; Marshall, André W.

doi:10.21236/ada414474

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…The post-processing of the CFD simulations was employed for the development of the CRN model. Roby et al [9] modeled the experimental results of Mellor [10] using a CRN with the main combustion zone split into two streams to account for imperfect fuel-air premixing. Novesselov [11,12] also employed a CRN for NOx and CO emissions prediction of the lean premixed gas turbine combustor.…”

Section: Introductionmentioning

confidence: 99%

A simulation for prediction of nitrogen oxide emissions in lean premixed combustor

et al. 2011

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Chemical reactor networks (CRN) models were developed for lean premixed gas turbine combustor to predict the NOx emissions. In this study, CRN models are constructed based on the computational fluid dynamics (CFD) for both non-pilot and pilot flame cases. Predictions of NOx emissions in combustor with the developed models were made by using CHEMKIN code and full GRI 3.0 chemical kinetic mechanism in the CRN. The predicted results agree reasonably well with the experimental data obtained from a simplified test combustor for the GE7FA gas turbine. The effects of overall equivalence ratio, swirl angle and pilot fuel ratio on the NOx emissions were investigated.

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Section: Introductionmentioning

confidence: 99%

A simulation for prediction of nitrogen oxide emissions in lean premixed combustor

et al. 2011

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“…Falcitelli et al [26], have defined a general algorithm to construct a network of chemical reactors. Roby et al [27], modeled a gas turbine combustor with experimental results of Mellor [15], using a CRN with the main combustion zone split into two streams for investigation of the imperfect fuel-air mixture. Bass et al [28], relying on the tracer analysis for a secondary combustion chamber of a rotary kiln incinerator, have developed a computationally inexpensive networked ideal reactor model to incorporate detailed chemical mechanisms.…”

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confidence: 99%

Developing a Turbulence-Inspired Zonal Combustion Modeling Approach, Implementing the CRNs in Turbulent Diffusion Flames

Modarres

2023

Preprint

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Computational modeling of the combustion systems not only depends on the flow field typology but also requires well considering the turbulence-reaction interactions. Complex combustion chambers can increase numerical costs dramatically. This paper addresses a novel CFD-based chemical reactor network (CFD-CRN) integrated approach to predict combustion byproducts with high accuracy. This methodology uses turbulence intensity as a determining factor to generate clusters of reactors. The CFD simulations were performed with fine grids using the GRI-Mech 2.11 methane-air combustion mechanism with 277 elementary reactions of 49 species. The GRI-Mech 3.0 including NO formation and reburn chemistry, with 53 species and 325 reactions, is used for the CRN analysis. Implementing the CFD-based CRN, the authors found that the rate of production of NOx from the prompt, thermal, and N2O pathways are calculated as 47.37%, 22.18%, 30.45%, and 40.24%, 29.13%, and 30.63% for the Sandia flames D and E, respectively. The computational fluid dynamics reports for those pathways are predicted as 50.39%, 19.78%, 29.83%, and about 43.58%, 28.45%, and 27.97% entire the Sandia flames D and E, in order. It is deduced that the application of the hybrid CFD-CRN in combustion systems is not only reliable for its high accuracy but also is noticeably efficient for fewer CPU requirements and numerical costs, especially in industrial combustion systems.

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Chemical Reactor Network Application to Emissions Prediction for Industial DLE Gas Turbine

Novosselov

Malte

Yuan³

et al. 2006

Volume 1: Combustion and Fuels, Education

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A chemical reactor network (CRN) is developed and applied to a dry low emissions (DLE) industrial gas turbine combustor with the purpose of predicting exhaust emissions. The development of the CRN model is guided by reacting flow computational fluid dynamics (CFD) using the University of Washington (UW) eight-step global mechanism. The network consists of 31 chemical reactor elements representing the different flow and reaction zones of the combustor. The CRN is exercised for full load operating conditions with variable pilot flows ranging from 35% to 200% of the neutral pilot. The NOpilot. The NOx and the CO emissions are predicted using the full GRI 3.0 chemical kinetic mechanism in the CRN. The CRN results closely match the actual engine test rig emissions output. Additional work is ongoing and the results from this ongoing research will be presented in future publications.

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High Fuel-Air Ratio (FAR) Combustor Modeling

Cited by 5 publications

References 6 publications

A simulation for prediction of nitrogen oxide emissions in lean premixed combustor

A simulation for prediction of nitrogen oxide emissions in lean premixed combustor

Developing a Turbulence-Inspired Zonal Combustion Modeling Approach, Implementing the CRNs in Turbulent Diffusion Flames

Chemical Reactor Network Application to Emissions Prediction for Industial DLE Gas Turbine

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