A quasi-three-dimensional calculation procedure for predicting the performance and gaseous emissions of gas turbine combustors

Sanborn, J. W.; Reynolds, R.; Mongia, H. C.

doi:10.2514/6.1976-682

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…Mongia et al (1979) used a two-step kinetic scheme along with a modified eddy-breakup model to predict the low-power CO and unburned hydrocarbons. Recognizing the limitation of this and the semi-global hydrocarbon/NOx chemistry, in addition to the computer capabilities in the 70's, Sanborn, Reynolds and Mongia (1976) demonstrated the feasibility of using a twostep approach combining CCD with 2-step/modified eddy breakup with a comprehensive propane kinetic mechanism for predicting performance as well as emissions. An alternate approach, reported by Srivatsa (1982), combined CCD with trace species calculations (as a post processor) for NOx and soot.…”

Section: Introductionmentioning

confidence: 99%

Anchored CCD for Gas Turbine Combustor Design and Data Correlation

Danis¹,

Burrus²,

Mongia³

1996

Volume 3: Coal, Biomass and Alternative Fuels; Combustion and Fuels; Oil and Gas Applications; Cycle Innovations

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Correlations based on design database, combined with multi-dimensional computational combustion dynamics (CCD) models are used in the combustion design process. However, because of limitations in the current turbulent combustion models, numerics, and boundary conditions, CCD has provided mainly qualitative trends for aerothermal performance, emissions and liner wall temperature levels and gradients. To overcome these deficiencies, hybrid modeling approaches have been proposed to analyze existing combustors. A typical hybrid modeling approach combines empirical and semianalytical correlations with CCD to give quantitatively accurate predictions of NOx, CO, HC, smoke, lean blowout, ignition, pattern factor and liner wall temperatures. An alternate approach, anchored CCD, is described in this paper. First, the models were anchored with one of the five modern turbopropulsion engine combustors. The anchored models were then run for the other four combustors. The predicted results correlated well with measured NOx, CO, HC, LBO and exit temperature quality data, demonstrating a broader applicability of the anchored method. The models were also used for designing a new combustion concept. The pre-test prediction agreed well with sector rig data from development hardware, showing the feasibility of using the anchored methodology as a design tool.

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Section: Introductionmentioning

confidence: 99%

Anchored CCD for Gas Turbine Combustor Design and Data Correlation

Danis¹,

Burrus²,

Mongia³

1996

Volume 3: Coal, Biomass and Alternative Fuels; Combustion and Fuels; Oil and Gas Applications; Cycle Innovations

View full text Add to dashboard Cite

show abstract

Anchored CCD for Gas Turbine Combustor Design and Data Correlation

Danis

Burrus

Mongia

1997

Journal of Engineering for Gas Turbines and Power

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Correlations based on design database, combined with multidimensional computational combustion dynamics (CCD) models are used in the combustion design process. However, because of limitations in the current turbulent combustion models, numerics, and boundary conditions, CCD has provided mainly qualitative trends for aerothermal performance, emissions, and liner wall temperature levels and gradients. To overcome these deficiencies, hybrid modeling approaches have been proposed to analyze existing combustors. A typical hybrid modeling approach combines empirical and semianalytical correlations with CCD to give quantitatively accurate predictions of NOx, CO, HC, smoke, lean blowout, ignition, pattern factor, and liner wall temperatures. An alternate approach, anchored CCD, is described in this paper. First, the models were anchored with one of the five modern turbopropulsion engine combustors. The anchored models were then run for the other four combustors. The predicted results correlated well with measured NOx, CO, HC, LEO, and exit temperature quality data, demonstrating a broader applicability of the anchored method. The models were also used for designing a new combustion concept. The pretest prediction agreed well with sector rig data from development hardware, showing the feasibility of using the anchored methodology as a design tool.

show abstract