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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
Published on: September 7, 2019
Local and global uncertainty analyses of a methane flame model
Judit Zádor1, István Gy Zsély, Tamás Turányi
1Department of Physical Chemistry, Eötvös University (ELTE), P.O. Box 32, H-1518 Budapest, Hungary.
Uncertainty analyses of a methane flame model reveal that kinetic and thermodynamic data significantly impact flame velocity and temperature. A few rate parameters and enthalpies of formation drive most model uncertainties.
Area of Science:
- Combustion chemistry
- Chemical kinetics
- Thermodynamics
Background:
- Laminar methane flame models are crucial for understanding combustion processes.
- Quantifying uncertainties in these models is essential for accurate predictions.
Purpose of the Study:
- To perform local and global uncertainty analyses on a laminar methane flame model.
- To investigate the impact of uncertainties in kinetic and thermodynamic data on key flame characteristics.
Main Methods:
- Utilized the Leeds methane oxidation mechanism for a flat, premixed, stationary, laminar flame.
- Employed Morris, Monte Carlo (Latin hypercube sampling), and improved Sobol' methods for global uncertainty analysis.
- Assigned probability density functions to 175 reaction rate coefficients and 37 species' enthalpies of formation.
Main Results:
- Determined approximate probability density functions and standard deviations for laminar flame velocity, maximal flame temperature, and radical concentrations (H, O, OH, CH, CH2).
- Identified specific rate parameters and enthalpies of formation as major contributors to model result uncertainty.
- Quantified minimum and maximum result values across physically realistic parameter combinations.
Conclusions:
- Model uncertainties are predominantly driven by a small subset of kinetic and thermodynamic parameters.
- Inaccurate knowledge of kinetic data is the primary source of uncertainty, though thermodynamic data also contributes significantly.
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