An Improved NO Prediction Model for Large Eddy Simulation of Turbulent Combustion

Xu, Jianguo; Huang, Dongxin; Chen, Ruiyan; Meng, Hua

doi:10.1007/s10494-020-00204-3

Cited by 8 publications

(4 citation statements)

References 31 publications

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“…To numerically simulate the flow and heat characteristics within the tank, constant fluid properties are assumed with the reference temperature 𝑇 𝑟𝑒𝑓 = 309.65 K, which present as the mean temperature 𝑇 𝑟𝑒𝑓 = (𝑇 𝑐 + 𝑇 ℎ )∕2. A case with non-constant fluid and thermophysical properties has also been tested and it was found that the results did only show negligible differences [42] The detailed geometrical information, fluid and thermal properties and inflow conditions of the tank are presented in Table 1. We will refer to this case as Case-A.…”

Section: The Training Case (Case-a)mentioning

confidence: 99%

“…The thermocouples are located at 0.260 m from the centreline of tank and positioned with an accuracy of ±10 mm in all directions. This case has been used to validate the solver and high-resolution large-eddy simulations (LES) in Xu et al [42], where good agreement with the experimental reference data was found. The LES data were therefore deemed to be of sufficient quality so that novel data-driven turbulence and scalar flux models could be trained on it.…”

Section: The Training Case (Case-a)mentioning

confidence: 99%

“…Three dimensional unsteady RANS are carried out in OpenFOAM [37] via buoyantBoussinesqPimpleFoam with the realizable 𝑘 − 𝜀 (RKE) model [31]. The code verification on the selection of URANS solver and the turbulence model can be found in Xu et al [42].…”

Section: Turbulence Closure Formulationmentioning

confidence: 99%

See 2 more Smart Citations

Data-Driven Turbulence Modelling of Transient Unsteady Flow in Stratified Water Storage Tanks

Haghiria

Sandberg

et al. 2023

Preprint

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Section: The Training Case (Case-a)mentioning

confidence: 99%

Section: The Training Case (Case-a)mentioning

confidence: 99%

See 1 more Smart Citation

Data-Driven Turbulence Modelling of Transient Unsteady Flow in Stratified Water Storage Tanks

Haghiria

Sandberg

et al. 2023

Preprint

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“…Apart from RANS simulations, there are also studies on Sydney swirling flames in the literature by Malalasekara et al [24], El-Asrag and Menon [25], Hu et al [26], Xu et al [27], Luo et al [28], Yang and Kaer [12] using the LES turbulence model. In these studies, it was observed that the results obtained from the LES turbulence model were in good agreement with the experimental results in the Sydney swirling combustor.…”

Section: Introductionmentioning

confidence: 99%

Validation of Bluff-body Swirling Flame with RANS Turbulent Model and Comparison of the Results with LES Turbulent Model

Kazancı,

Böke

2024

International Journal of Thermodynamics

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The energy required for technological advancement is primarily derived from hydrocarbon combustion, which is a key topic in thermodynamics. The stability of the flame in hydrocarbon combustion is a critical parameter that impacts both burner design and combustion efficiency. Various methods have been employed in the literature to achieve a stable flame, with swirl flow being one technique that enhances combustion performance in engineering applications. This study focuses on the numerical analysis of the SM1 flame from Sydney swirl flames. Initially, the flow incorporating the two-equation Re-Normalization Group (RNG) k-ε and Shear Stress Transport (SST) k-ω turbulence models, along with the chemical reactions of CH4 combustion using the GRI 3.0 reaction mechanism, was modeled and compared with experimental data. Subsequently, the numerical results obtained from the Shear Stress Transport k-ω turbulence model, which demonstrated the best agreement with experimental data, were compared with results from a numerical analysis in the literature using the Large Eddy Simulation (LES) turbulence model. The predictive capabilities of these two turbulence models, along with their behavior in the flow region, were evaluated. The comparison revealed that for stable flames within the Sydney swirl flame family, the Shear Stress Transport k-ω turbulence model, which provides results in a more efficient manner, is sufficient compared to the computationally expensive Large Eddy Simulation turbulence model. This choice is made possible by utilizing a solution algorithm tailored to the flow characteristics and appropriate boundary conditions.

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Stochastic Modeling of Partially Stirred Reactor (PaSR) for the Investigation of the Turbulence-Chemistry Interaction for the Ammonia-Air Combustion

Yu,

Cai,

Chen

2023

Flow Turbulence Combust

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The Partially Stirred Reactor (PaSR) model is carried out for the ammonia-air combustion system by means of stochastic modeling, namely by solving the transport equation for the joint Probability Density Function (PDF). The turbulent mixing is accounted for by the Linear Mean-Square Estimation (LMSE) mixing model. Notwithstanding the simplified nature of the PaSR modeling, the transported-PDF method enables capturing the effect of mixing frequency on the combustion system, especially the NOx emission. Since the chemical source term is in a closed form in the transported-PDF method, it allows us to apply different chemical mechanisms to explore, whether the set of elementary reactions that are identified as important for the prediction of NOx in the PaSR model is sensitive to the choice of chemical mechanisms. Furthermore, the effect of the residence time in the PaSR model has also been studied, and compared with those in the Perfectly Stirred Reactor (PSR) model (infinite large mixing frequency). Moreover, since the ammonia under oxygen enrichment shows some similar combustion behaviors in terms of e.g. laminar burning velocity as the ammonia under hydrogen enrichment, how large the difference of thermo-kinetic states (e.g. temperature and NOx emission) predicted by PaSR models and in laminar premixed flame configuration is also investigated. A further discussion focuses on the effect of thermal radiation, where the radiative heat loss roles in the prediction of NOx for the turbulent simulation is examined. By using the optically thin approximation model, it is shown that the thermal radiation exhibits little effect on the considered combustion systems within a typical turbulent time-scale.

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An Improved NO Prediction Model for Large Eddy Simulation of Turbulent Combustion

Cited by 8 publications

References 31 publications

Data-Driven Turbulence Modelling of Transient Unsteady Flow in Stratified Water Storage Tanks

Data-Driven Turbulence Modelling of Transient Unsteady Flow in Stratified Water Storage Tanks

Validation of Bluff-body Swirling Flame with RANS Turbulent Model and Comparison of the Results with LES Turbulent Model

Stochastic Modeling of Partially Stirred Reactor (PaSR) for the Investigation of the Turbulence-Chemistry Interaction for the Ammonia-Air Combustion

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