PDF;
lean premixed combustion;
CFD;
Monte Carlo method;
NOx;
D O I:
10.1080/00102200490276809
中图分类号:
O414.1 [热力学];
学科分类号:
摘要:
In this paper, CO and NO formation in a premixed turbulent methane flame is simulated with a stochastic model of combustion. The model proposed is a combination of both the computational fluid dynamics and the Monte Carlo methods for the solution of the joint probability density function. Finite chemical kinetics is represented by a GRI-derived reduced-chemistry model. This resultant model is used to simulate a lean, premixed, bluff-body, stabilized flame for which experimental data are available. Under this condition, the prediction of NO formation is a challenge because of its low concentrations (typically a few parts per million) and because every NO-formation route is relevant. The model used for the molecular mixing includes a variable mixing time, covering the range from the Kolmogorov scale to the integral scale. A lookup table is used to estimate the thermochemical properties and is found to be more adequate than direct integration. The results are compared with an experimental database.
机构:
Lund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, SwedenLund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, Sweden
Yu, S.
Liu, X.
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机构:
Lund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, Sweden
Harbin Engn Univ, Coll Power & Energy Engn, Harbin 150001, Heilongjiang, Peoples R ChinaLund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, Sweden
Liu, X.
Bai, X. S.
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机构:
Lund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, SwedenLund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, Sweden
Bai, X. S.
Elbaz, A. M.
论文数: 0引用数: 0
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机构:
King Abdullah Univ Sci & Technol, Clean Combust Res Ctr, Thuwal, Saudi Arabia
Helwan Univ, Fac Engn, Cairo, EgyptLund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, Sweden
Elbaz, A. M.
Roberts, W. L.
论文数: 0引用数: 0
h-index: 0
机构:
King Abdullah Univ Sci & Technol, Clean Combust Res Ctr, Thuwal, Saudi ArabiaLund Univ, Dept Energy Sci, Div Fluid Mech, S-22100 Lund, Sweden