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Research Papers: Gas Turbines: Combustion, Fuels, and Emissions

A Large-Eddy Simulation–Linear-Eddy Model Study of Preferential Diffusion Processes in a Partially Premixed Swirling Combustor With Synthesis Gases

[+] Author and Article Information
Shaoshuai Li

Department of Thermal Engineering,
Tsinghua University,
Beijing 100084, China
e-mail: zhengbankuaile@aliyun.com

Yunzhe Zheng

Department of Thermal Engineering,
Tsinghua University,
Beijing 100084, China
e-mail: yzzheng@eppei.com

Daniel Mira

CASE Department,
Barcelona Supercomputing Center,
Barcelona 08034, Spain
e-mail: daniel.mira@bsc.es

Suhui Li

Professor
Department of Thermal Engineering,
Tsinghua University,
Beijing 100084, China
e-mail: lisuhui@tsinghua.edu.cn

Min Zhu

Professor
Department of Thermal Engineering,
Tsinghua University,
Beijing 100084, China
e-mail: zhumin@mail.tsinghua.edu.cn

Xi Jiang

Professor
Department of Engineering,
Lancaster University,
Lancaster LA1 4YR, UK
e-mail: x.jiang@lancaster.ac.uk

1Corresponding author.

Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received June 19, 2016; final manuscript received July 12, 2016; published online September 27, 2016. Editor: David Wisler.

J. Eng. Gas Turbines Power 139(3), 031501 (Sep 27, 2016) (12 pages) Paper No: GTP-16-1235; doi: 10.1115/1.4034446 History: Received June 19, 2016; Revised July 12, 2016

A lean partially premixed swirling combustor operated with synthesis gases is studied using large-eddy simulation (LES). The linear-eddy model (LEM) is employed to close the unresolved scalar fluxes with the nonunity Lewis number assumption. Several terms resulting from the LES filtering operation are not modeled but directly resolved considering their unique length and time scales, such as molecular diffusion, scalar mixing, and chemical reactions. First, the validation results on a well-established jet flame indicate a good level of correlation with the experimental data and allow a further analysis of syngas combustion on a practical combustor. Second, the effects of preferential diffusion on the characteristics of flow and combustion dynamics on a lean partially premixed swirling combustor are investigated. The obtained results are expected to provide useful information for the design and operation of gas turbine combustion systems using syngas fuels.

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Figures

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Fig. 1

Diagram of the numerical scheme

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Fig. 2

The instantaneous distribution of the OH radical and axial velocity of flame chnB

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Fig. 3

Comparison of the flame temperatures and scalar mass fractions at different axial locations (left: x/D = 20, middle: x/D = 30, and right: x/D = 40) between the experiment and LES computation with a reduced chemical mechanism

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Fig. 4

Experimental combustor and computational mesh: (a) combustor, (b) computational mesh, and (c) nozzle

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Fig. 5

Axial distribution characteristics of P(U) with different H2 contents: (a) H2:CO = 1:3, (b) H2:CO = 1:1, and (c) H2:CO = 1:0.67

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Fig. 6

Radial distribution characteristics of P(U) with different H2 contents at the axial location x/D = 0.917: (a) H2:CO = 1:3, (b) H2:CO = 1:1, and (c) H2:CO = 1:0.67

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Fig. 7

Isosurface of vorticity (Ω=3000/s) with different H2 contents: (a) H2:CO = 1:3, (b) H2:CO = 1:1, and (c) H2:CO = 1:0.67

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Fig. 8

Modified flame index distribution with different H2 contents: (a) H2:CO = 1:3, (b) H2:CO = 1:1, and (c) H2:CO = 1:0.67

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Fig. 9

Contour plots of time-averaged temperature with different H2 contents: (a) H2:CO = 1:3, (b) H2:CO = 1:1, and (c) H2:CO = 1:0.67

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Fig. 10

Central recirculation zone structures with different H2 contents: (a) H2:CO = 1:3, (b) H2:CO = 1:1, and (c) H2:CO = 1:0.67

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Fig. 11

Effects of preferential diffusion on the superadiabatic phenomenon of syngas combustion around the nozzle outlet with LES–LEM method: (a) unity Lewis number and (b) nonunity Lewis number

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Fig. 12

Scattered temperature distribution in the mixture fraction space with different H2 contents: (a) H2:CO = 1:3, (b) H2:CO = 1:1, and (c) H2:CO = 1:0.67

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Fig. 13

OH distribution in the dimension of Z with different H2 contents: (a) H2:CO = 1:3, (b) H2:CO = 1:1, and (c) H2:CO = 1:0.67

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Fig. 14

H2O mass distribution in the dimension of Z with different H2 contents: (a) H2:CO = 1:3, (b) H2:CO = 1:1, and (c) H2:CO = 1:0.67

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Fig. 15

CO mass distribution in the dimension of Z with different H2 contents: (a) H2:CO = 1:3, (b) H2:CO = 1:1, and (c) H2:CO = 1:0.67

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Fig. 16

Distribution of F in the dimension of the progress variable with different models: (a) EDC model and (b) LEM model

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