A 0D aircraft engine emission model with detailed chemistry and soot microphysics

Moniruzzaman, Chowdhury G.; Yu, Fangqun

doi:10.1016/j.combustflame.2011.11.006

Cited by 16 publications

(17 citation statements)

References 42 publications

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“…Similar models are now in standard use within industries, particularly for assistance in designing low NOx combustors. Relatively few authors report simulations of total hydrocarbons and fewer still report predicted speciation of the hydrocarbon exhaust species (Moniruzzaman and Yu, 2012;Starik et al, 2013). The goals in the development of such modeling tools generally are to predict emissions quantitatively from a specific (or family of) combustors and how they change with operating conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Techniques vary widely, including large eddy simulations (LES) (e.g., Eggenspieler and Menon, 2005;Mueller and Pitsch, 2013), Reynolds averaged Navier-Stokes (RANS) (e.g., Joung and Huh, 2010;Magnussen and Hjertager, 1976), as well as stirred reactor networks (Bhargava et al, 2000;Fichet et al, 2010;Lebedev et al, 2009;Moniruzzaman and Yu, 2012;Starik et al, 2013), where the few references provided are examples. Similar models are now in standard use within industries, particularly for assistance in designing low NOx combustors.…”

Section: Introductionmentioning

confidence: 99%

“…Here, we explore the causes of the linearity observed among hydrocarbon emissions that is independent not only of operating conditions but also combustor design. While we do explore use and characteristics of reactor network tools, which more readily enable prediction of hydrocarbon speciation in the combustor/engine exhaust (Moniruzzaman and Yu, 2012), we focus primarily on more simplified combustion systems (plug flow, single stirred reactors, premixed and non-premixed flames, and strained and unstrained flames) in an attempt to identify the fundamental physical/chemical processes that lead to the similarity in emissions. Assuming the relationship between jet fuel combustion and HC emissions can be understood, it is our hope that inclusion of relevant physics and chemistry into appropriate combustor models can be used to anticipate changes in HC emissions due to conversion to alternate fuels, and this shift in emissions can then be projected to the impacts on local environmental and atmospheric chemistry.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fingerprint of Hydrocarbon Emissions from Gas Turbine Exhaust at Low Power

Zeppieri¹,

Colket²

2014

Combustion Science and Technology

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Measurements in exhaust plumes from a variety of gas turbine engines indicate that many hydrocarbon emissions, including aldehydes, are linearly related. Hence, HC 1 ∼ = a HC 2 , where 'a' is constant for any two HC pairs and is independent of engine type or power condition. This study explores possible causes for this 'universal' fingerprint for hydrocarbon emissions. We apply simplified analyses to idle and part power operation at which hydrocarbon emission levels are large enough to be identified and be quantitatively determined; the emission indices are on the order of 1 gram/kilogram of fuel. We consider the relations among intermediate hydrocarbon species present in laminar flame reaction zones found in freely propagating and both premixed and non-premixed opposedjet (strained) configurations. The analysis is extended to a single stirred reactor and then to a network series of reactors. Full detailed chemical kinetics and a binary surrogate mixture for jet fuel are utilized. Finally, the results are interpreted to identify probable explanations for the linearity among hydrocarbon emissions. Specifically, we conclude that this linear scaling is due to quenching of lean, premixed mixtures.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fingerprint of Hydrocarbon Emissions from Gas Turbine Exhaust at Low Power

Zeppieri¹,

Colket²

2014

Combustion Science and Technology

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“…An attempt to use the other way of building the gas parcel box model for conventional aero-engine combustor, treating the detailed chemistry of pollutant formation, was undertaken by Moniruzzaman and Yu (2012). In that work, the combustor volume was divided on three sections representing the primary zone, primary zone hole and dilution zone.…”

Section: Introductionmentioning

confidence: 99%

Application of reactor net models for the simulation of gas-turbine combustor emissions

Starik

Kozlov

Лебедев

et al. 2014

IJSA

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The work deals with the evaluation of applicability of reactor net models and different reaction mechanisms for the predictions of emission characteristics of aero-engine combustors operating both in diffusion and in homogeneous burning modes. It is shown that the accuracy of the calculations of emission indices for NO x , CO and unburned hydrocarbons (UHC) is dependent strongly on the applied reaction mechanisms. The computations exhibited that for the combustor operating in a diffusion mode the use of methane as a fuel, instead of kerosene, leads to decreasing NO x (by 35%) emission index, as well as to decreasing the CO and UHC emissions, while for the combustor with homogeneous combustion of fuel-lean mixture the use of methane as a fuel results in an increase of EINO x value (by a factor of 1.4) compared with kerosene-fuelled combustor.Reference to this paper should be made as follows: Starik, A.M., Kozlov, V.E., Lebedev, A.B. and Titova, N.S. (2014) 'Application of reactor net models for the simulation of gas-turbine combustor emissions', Int.

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“…Rubin and Pratt (13) studied the trend concerning the development of the zonal model for emission prediction in gas turbine combustors. In recent years, new methodologies based on extensive chemical reactor networks were introduced (14)(15)(16)(17)(18) . In most cases, the CRNs were constructed based on the details data achieved from solving the computational fluid dynamics (CFD) of the combustor flow field.…”

Section: Introductionmentioning

confidence: 99%

Emission prediction in conceptual design of the aircraft engines using augmented CRN

Saboohi

Ommi

2017

Aeronaut. j.

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The semi-analytical prediction of pollutants emissions from gas turbines in the conceptual design phase is addressed in this paper. The necessity of this work arose from an urgent need for a comprehensive model that can quickly provide data in the conceptual design phase. Based on the available inputs data in the initial phases of the design process, a chemical reactor network (CRN) is defined to model the combustion with a detailed chemistry. In this way, three different chemical mechanisms are studied for Jet-A aviation fuel. Furthermore, the droplet evaporation for liquid fuel and the non-uniformity in fuel-air mixture are modelled. The results of a developed augmented modelling tool are compared with the pollutants data of two annular engine's combustors. The CRN results have good agreement with the actual engine test rig emissions output. In conclusion, the augmented CRN has shown to be efficient in predicting engine emissions with a very short executing time (few seconds) using a small CPU requirement such as a personal computer.

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A 0D aircraft engine emission model with detailed chemistry and soot microphysics

Cited by 16 publications

References 42 publications

Fingerprint of Hydrocarbon Emissions from Gas Turbine Exhaust at Low Power

Fingerprint of Hydrocarbon Emissions from Gas Turbine Exhaust at Low Power

Application of reactor net models for the simulation of gas-turbine combustor emissions

Emission prediction in conceptual design of the aircraft engines using augmented CRN

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