Simulation of methane turbulent swirling flame in the TECFLAM combustor

Yang, Weiping; Zhang, Jian

doi:10.1016/j.apm.2008.08.014

Cited by 6 publications

(11 citation statements)

References 15 publications

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“…Due to practical limitations on computational resources, it was not possible to run the CFD simulation with more detailed kinetic mechanisms. Outside these peak temperature regions, particularly 10-60 mm from the burner inlet, the temperature field predicted by Solution B compares favourably to both experimental data as well as the state-of-the-art in published numerical work 5,16,17 . The lowest temperature trough regions indicate the cold inlet jets of air and fuel, which heat up as they travel downstream due to combustion, heat transfer and mixing with surrounding higher temperature gases.…”

Section: Cfd-predicted Temperature Fieldsupporting

confidence: 59%

“…While it may be considered well-studied, significant technical challenges have been reported in modeling the S09c flame 5,16,17,18 . Difficulties in modeling turbulent reactive flows are present even in simple cases, and simulation validation is exacerbated as additional elements of complexity are introduced.…”

Section: Descriptionmentioning

confidence: 99%

“…CFD-CRN overpredicts CO in areas where CFD-predicted temperature is over-predicted. Non-zero mass fractions of CO in the ERZ, which has been shown to be difficult to achieve 5,17 , are predicted by both CFD and CFD-CRN methods. Temporal temperature fluctuations are predicted to have a minimal effect on major species profiles as seen by the similarities between the dashed and solid lines in Figure 14 to Figure 16.…”

Section: Cfd-predicted Temperature Fieldmentioning

confidence: 99%

“…These elements include: capturing the wall-dominated flow and the concomitant separation phenomena within the swirl passages; the details surrounding the cooling losses at the confinement walls; the prediction of peak temperatures in the central recirculation zone, and possibly even the flame stabilization mechanism. For these reasons, successful simulation of this flame using commercial codes is presently considered challenging 5,16,17,18 . The cited literature is concerned with the turbulencechemistry interaction, with reported chemistry models ranging from the simple one-step RANS-EBU (Reynolds averaged Navier-Stokes -Eddy break-up) to finite rate (4-step), to ACM-PDF (algebraic concentration moment -probability distribution function) models 5,17,18 to LES-CMC 19 (large eddy simulation -conditional moment closure).…”

Section: Descriptionmentioning

confidence: 99%

“…For these reasons, successful simulation of this flame using commercial codes is presently considered challenging 5,16,17,18 . The cited literature is concerned with the turbulencechemistry interaction, with reported chemistry models ranging from the simple one-step RANS-EBU (Reynolds averaged Navier-Stokes -Eddy break-up) to finite rate (4-step), to ACM-PDF (algebraic concentration moment -probability distribution function) models 5,17,18 to LES-CMC 19 (large eddy simulation -conditional moment closure). Success with LES-FGM 20,21 (flamelet generated manifold) has recently been reported for the premixed version of TECFLAM.…”

Section: Descriptionmentioning

confidence: 99%

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Detailed Emissions Prediction for a Turbulent Swirling Nonpremixed Flame

et al. 2014

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This paper describes validation of a previously-described CFD-CRN method (computational fluid dynamics -chemical reactor network) for emissions predictions for the laboratory benchmark TECFLAM S09c flame. It details CFD simulation, solution strategy, validation using, CRN generation, detailed emissions predictions and reaction pathway studies. Steady-state 3D CFD models of a 45° † Corresponding author. Email address: rory.monaghan@nuigalway.ie. Tel: +353(91)494-256. 2 sector of the combustor, employing standard numerical techniques; steady-state k- SST turbulence, P1 radiation, finite-rate eddy-dissipation turbulence-chemistry interaction, and three-step methane combustion mechanism, were created in ANSYS FLUENT v14. Steady-state models were used as they are of interest to industrial researchers, who are often limited to their use by extremely complex geometries. The models differ in their handling of pressure-velocity coupling and discretization of the momentum equation. The solution which uses SIMPLE coupling and second-order upwind discretization of the momentum equation was generally found to give better results. Satisfactory agreement with experimental profiles for velocity, turbulent kinetic energy, temperature, and species mass fractions has been achieved. Some errors are seen in temperature and CO mass fractions at the highest temperatures (T > 2000 K) and are due to the fact that the highly-simplified three-step kinetic mechanism employed due to practical limitations on computational resources, underestimates CO2 dissociation. The results compare satisfactorily with the state-of-the-art. Non-zero concentrations of CO are predicted in the external recirculation zone, which has not been achieved in previous modeling efforts. The validated solution was used as the basis to generate a CRN using the CFD-CRN method.The CFD-CRN method uses user-defined criteria to divide the CFD domain into a set of interconnected perfectly-stirred reactors (PSRs), i.e. a CRN. This CRN is then solved using detailed chemical kinetic mechanisms in the Kinetic Post-Processor (KPPSMOKE) solver. CRN size-independence studies are performed and it is determined that 5000+ PSRs were needed to adequately capture pollutant formation in the complex recirculating flow field. Validation of CFD-CRN predictions of major species show similar accuracy to steady-state CFD simulation, with improvements over state-of-the-art CFD in CO profile predictions. Satisfactory agreement with previously-published experimental NOx contour plots is also seen. The CFD-CRN is used to study NOx formation pathways in the swirling, turbulent environment of the S09c diffusion flame. As expected, NOx is seen to form primarily in the hightemperature internal recirculation zone (IRZ). The prompt pathway is predicted to be of greatest importance in this area. Significant NOx reburning is seen in the low temperature fuel-air jets 3 immediately adjacent to the IRZ. Overall, the prompt pathway is responsible for 77% of NOx leaving the system, with 12% due to the...

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Section: Cfd-predicted Temperature Fieldsupporting

confidence: 59%

Section: Descriptionmentioning

confidence: 99%

Section: Cfd-predicted Temperature Fieldmentioning

confidence: 99%