Effects of radiation modeling on non-premixed sooting flames simulations under oxyfuel conditions

Hoerlle, Cristian Alex; França, Francis; Pagot, Paulo Roberto; Pereira, Fernando M.

doi:10.1016/j.combustflame.2020.04.012

Cited by 20 publications

(3 citation statements)

References 60 publications

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“…Although not linear, the qualitative trend is the same for both species. The effect of different radiation models is explored in [25], and again the same qualitative trends are observed for C 2 H 2 and A 4 . The effect of different detailed diffusion models on the soot volume fraction of diffusion flames is presented in [26].…”

Section: Soot Modelsupporting

confidence: 53%

Limitations of simplified models to predict soot formation in laminar flames

Zimmer

Pereira

2020

J Braz. Soc. Mech. Sci. Eng.

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Soot formation and radiation are important aspects for combustion problems. In this work, numerical simulations of ethylene coflow laminar flames are used to evaluate soot formation and radiation processes under different modeling approximations. Priority was given for models that were capable of producing detailed information with reduced computational requirements. So, the objective of this work is to show and quantify the importance of heat loss by gas and soot radiation and to quantitatively show the impact of different transport models (a detailed and a simplified) in soot predictions. For soot modeling, a semiempirical two-equation model is chosen for predicting soot mass fraction and number density. The model describes particle nucleation, surface growth and oxidation. For flame radiation, the radiant heat losses (gas and soot) are modeled by using the gray-gas approximation with optically thin approximation. For the chemical kinetics, a detailed approach is employed. It is found that gas and soot components of the radiative heat loss are comparable, with the gas radiation being larger (65%). To capture 99.9% of the total heat loss, the numerical domain has to be extended to 2.4 times the flame length based on the stoichiometric mixture fraction. Radiation modeling has a large impact on soot predictions. An error of 19% in the peak soot volume fraction is found when radiation is neglected. Errors due to simplified transport properties are also around 21%.

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Section: Soot Modelsupporting

confidence: 53%

Limitations of simplified models to predict soot formation in laminar flames

Zimmer

Pereira

2020

J Braz. Soc. Mech. Sci. Eng.

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“…Pyrene (A4) is usually considered as important species for soot nucleation due to its high concentration in flame and thermodynamic stability (Appel et al , 2000). The soot nucleation process in the present study is considered as pyrene dimerization (Frenklach and Wang, 1994), as it has been widely used and validated in many research studies, for example, soot in plug flow reactors (Wen et al , 2005), laminar premixed flames (Yapp et al , 2015) and laminar diffusion flames (Selvaraj et al , 2016; Qiu et al , 2019; Hoerlle et al , 2020). The nucleation rate is then calculated according to kinetic theory as (Frenklach and Wang, 1994) with the self-sticking coefficient of 0.025 as used by Blanquart and Pitsch (2009) and the nuclei size is assumed to be 0.87 nm which is actually the size of single pyrene molecule (Tang et al , 2017).…”

Section: Methodsmentioning

confidence: 99%

Lagrangian particle tracking with new weighted fraction Monte Carlo method for studying the soot particle size distributions in premixed flames

Jiang

Chan

2021

HFF

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Purpose The purpose of this paper is to study the soot formation and evolution by using this newly developed Lagrangian particle tracking with weighted fraction Monte Carlo (LPT-WFMC) method. Design/methodology/approach The weighted soot particles are used in this MC framework and is tracked using Lagrangian approach. A detailed soot model based on the LPT-WFMC method is used to study the soot formation and evolution in ethylene laminar premixed flames. Findings The LPT-WFMC method is validated by both experimental and numerical results of the direct simulation Monte Carlo (DSMC) and Multi-Monte Carlo (MMC) methods. Compared with DSMC and MMC methods, the stochastic error analysis shows this new LPT-WFMC method could further extend the particle size distributions (PSDs) and improve the accuracy for predicting soot PSDs at larger particle size regime. Originality/value Compared with conventional weighted particle schemes, the weight distributions in LPT-WFMC method are adjustable by adopting different fraction functions. As a result, the number of numerical soot particles in each size interval could be also adjustable. The stochastic error of PSDs in larger particle size regime can also be minimized by increasing the number of numerical soot particles at larger size interval.

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“…[6][7][8] During the combustion process, the transfer process of heat and mass in the ame and soot formation are affected by CO 2 through physical and chemical interactions. [9][10][11][12][13][14][15] Hence, the employment of CO 2 as the dilution gas 12 is able to reduce the ame temperature and achieve low emission of pollutants. For CO 2 -F, various conclusions were drawn on the suppression mechanism of soot formation in early research studies.…”

Section: Introductionmentioning

confidence: 99%

Experimental study of the effect of CO₂ on temperature and soot volume fraction in C₂H₄/air co-flow laminar diffusion flame

Cai

Yang

et al. 2023

RSC Adv.

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Effects of radiation modeling on non-premixed sooting flames simulations under oxyfuel conditions

Cited by 20 publications

References 60 publications

Limitations of simplified models to predict soot formation in laminar flames

Limitations of simplified models to predict soot formation in laminar flames

Lagrangian particle tracking with new weighted fraction Monte Carlo method for studying the soot particle size distributions in premixed flames

Experimental study of the effect of CO₂ on temperature and soot volume fraction in C₂H₄/air co-flow laminar diffusion flame

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Effects of radiation modeling on non-premixed sooting flames simulations under oxyfuel conditions

Cited by 20 publications

References 60 publications

Limitations of simplified models to predict soot formation in laminar flames

Limitations of simplified models to predict soot formation in laminar flames

Lagrangian particle tracking with new weighted fraction Monte Carlo method for studying the soot particle size distributions in premixed flames

Experimental study of the effect of CO2 on temperature and soot volume fraction in C2H4/air co-flow laminar diffusion flame

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Experimental study of the effect of CO₂ on temperature and soot volume fraction in C₂H₄/air co-flow laminar diffusion flame