Development of multi-component diesel surrogate fuel models – Part II: Validation of the integrated mechanisms in 0-D kinetic and 2-D CFD spray combustion simulations

Poon, Hiew Mun; Pang, Kar Mun; Ng, Hoon Kiat; Gan, Suyin; Schramm, Jesper

doi:10.1016/j.fuel.2016.04.114

Cited by 29 publications

(10 citation statements)

References 63 publications

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“…Framework Type of fuel combustion TCI closure Soot model Jangi et al [1] URANS n-Heptane ESF -Pei et al [10,21] URANS n-Dodecane L-tPDF -Pang et al [12,29,43] URANS Diesel, n-Heptane WSR Four-step D'Errico et al [13] URANS n-Dodecane WSR+PDF -Pei et al [19,20] URANS n-Heptane L-tPDF -Bhattacharjee and Haworth [22] URANS n-Heptane, n-Dodecane L-tPDF -Bolla et al [23][24][25] URANS n-Heptane, Diesel CMC Four-step Irannejad et al [27] LES n-Heptane FMDF -Lucchini et al [28] URANS n-Dodecane ESF -Wang et al [30] URANS n-Dodecane WSR Five-step Gong et al [31] LES n-Dodecane WSR Two-step Chishty et al [32] URANS n-Dodecane L-tPDF Four-step Frassoldati et al [33] URANS n-Dodecane mRIF -Cheng et al [34] URANS Biodiesel WSR Four-step Poon et al [35] URANS Diesel WSR Four-step Vishwanathan and Reitz [36] URANS Diesel WSR Five-step D'Errico et al [37] URANS n-Dodecane WSR, mRIF -Gong et al [38] URANS n-Heptane ESF -Gallot-Lavallée and Jones [39] LES n-Heptane ESF -Pandurangi et al [40] URANS n-Dodecane CMC Four-step Wehrfritz et al [41] LES n-Dodecane FGM -Jangi et al [42] URANS n-Heptane WSR Two-step Bolla et al [44,45] URANS n-Dodecane L-tPDF Four-step Note: L-tPDF denotes the Lagrangian particle transported PDF model. The two-step soot model represents the Hiroyasu-Nagle and Strickland-Constable (NSC) model which describes soot formation and oxidation [48].…”

Section: Investigator(s)mentioning

confidence: 99%

“…The selection of a D2 surrogate fuel model depends on the objective of the numerical study. When the study aims to predict the diesel combustion and soot formation, the use of multi-component diesel surrogate models where aromatic and cyclo-paraffin chemistry are taken into consideration is essential [33,35,[62][63][64]. However, the improved results with these multi-component diesel surrogate models always come with a significant computational overhead since they commonly consist of a greater number of chemical species.…”

Section: Chemical Kinetic Mechanismsmentioning

confidence: 99%

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Modelling of diesel spray flames under engine-like conditions using an accelerated Eulerian Stochastic Field method

Pang

Jangi

Bai

et al. 2018

Combustion and Flame

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This paper aims to simulate diesel spray flames across a wide range of engine-like conditions using the Eulerian Stochastic Field probability density function (ESF-PDF) model. The ESF model is coupled with the Chemistry Coordinate Mapping approach to expedite the calculation. A convergence study is carried out for a number of stochastic fields at five different conditions, covering both conventional diesel combustion and low-temperature combustion regimes. Ignition delay time, flame lift-off length as well as distributions of temperature and various combustion products are used to evaluate the performance of the model. The peak values of these properties generated using thirty-two stochastic fields are found to converge, with a maximum relative difference of 27% as compared to those from a greater number of stochastic fields. The ESF-PDF model with thirty-two stochastic fields performs reasonably well in reproducing the experimental *Manuscript Click here to view linked References 2 flame development, ignition delay times and lift-off lengths. The ESF-PDF model also predicts a broader hydroxyl radical distribution which resembles the experimental observation, indicating that the turbulence-chemistry interaction is captured by the ESF-PDF model. The validated model is subsequently used to investigate the flame structures under different conditions. Analyses based on flame index and formaldehyde distribution suggest that a triple flame, which consists of a rich premixed flame, a diffusion flame and a lean premixed flame, is established in the earlier stage of the combustion. As the combustion progresses, the lean premixed flame weakens and diminishes with time. Eventually, only a double-flame structure, made up of the diffusion flame and the rich premixed flame, is observed. The analyses for various ambient temperatures show that the tripleflame structure remains for a longer period of time in cases with lower ambient temperatures. The present study shows that the ESF-PDF method is a valuable alternative to Lagrangian particle PDF methods.

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Section: Investigator(s)mentioning

confidence: 99%

Section: Chemical Kinetic Mechanismsmentioning

confidence: 99%

Modelling of diesel spray flames under engine-like conditions using an accelerated Eulerian Stochastic Field method

Pang

Jangi

Bai

et al. 2018

Combustion and Flame

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“…However, a comprehensive TCI closure approach such as the transported probability density function (TPDF) model is computationally expensive. Since the main focus in this study is to evaluate the performance of the Lagrangian soot model, the computationally efficient WSR which is also widely used for spray combustion modelling is selected (Cheng, Ng, Gan, Ho, & Pang, 2015;D'Errico, Lucchini, Contino, Jangi, & Bai, 2014;Pang, Jangi, et al, 2015;Poon, Pang, Ng, Gan, & Schramm, 2016). As explained later in Section 3.2, the model is able to predict the ID of the Doshisha case while the variations of ID and LOL with respect to the change in O 2 level in the Sandia n-dodecane cases are reproduced.…”

Section: Spray-turbulence-chemistry Formulationmentioning

confidence: 99%

Evaluation of a Lagrangian Soot Tracking Method for the prediction of primary soot particle size under engine-like conditions

Ong

Pang

Walther

et al. 2018

Journal of Aerosol Science

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“…Many research reports in literature concern the optimization of surrogate formulations to emulate fossil diesel by using several selected properties including cetane number, density, calorific value, viscosity, distillation curve, boiling point, lower heating value (LHV), etc. [3,[6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Optimization of formulation for surrogate fuels for diesel–biodiesel mixtures

Kerras¹,

Outili²,

Loubar³

et al. 2021

Comptes Rendus. Chimie

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Alternative or surrogate fuel is a carburant made up of a reduced number of constituents that emulate the characteristics and performance of a target fuel which may contain more than a thousand compounds. In order to overcome the composition complexity and permit the simulation of kinetic models, an optimization of the surrogate fuel composition is necessary to reproduce physical and chemical properties of a target fuel. The main objective of the present research is to optimize a formulation for an alternative fuel that emulates a target fossil diesel (B0), and an obtained biodiesel (B100) from a transesterification of cooking vegetable oil. To enhance the application of biodiesel as an alternative solution to depleting fossil fuel, mixtures of diesel and several percentages of biofuel are also considered as target fuels, considering 5%, 10%, 20%, 50% and 80% of biodiesel, denoted respectively: B5, B10, B20, B50 and B80. The target properties considered in this work are the density at 15 °C, the viscosity at 40 °C and the cetane number using a palette of 18 components selected from previous works. The numerical method of the Generalized Reduced Gradient (GRG) is used to optimize the defined objective function. The results obtained showed that the optimized surrogates for fossil diesel, biodiesel and their blending agree well with target properties and all the optimized alternatives are composed of only the same three constituents, namely: 1-methylnaphthalene, isocetane and neicosane.

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Development of multi-component diesel surrogate fuel models – Part II: Validation of the integrated mechanisms in 0-D kinetic and 2-D CFD spray combustion simulations

Cited by 29 publications

References 63 publications

Modelling of diesel spray flames under engine-like conditions using an accelerated Eulerian Stochastic Field method

Modelling of diesel spray flames under engine-like conditions using an accelerated Eulerian Stochastic Field method

Evaluation of a Lagrangian Soot Tracking Method for the prediction of primary soot particle size under engine-like conditions

Optimization of formulation for surrogate fuels for diesel–biodiesel mixtures

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