Literature DB >> 16833293

Local and global uncertainty analyses of a methane flame model.

Judit Zádor1, István Gy Zsély, Tamás Turányi, Marco Ratto, Stefano Tarantola, Andrea Saltelli.   

Abstract

Local and global uncertainty analyses of a flat, premixed, stationary, laminar methane flame model were carried out using the Leeds methane oxidation mechanism at lean (phi = 0.70), stoichiometric (phi = 1.00), and rich (phi = 1.20) equivalence ratios. Uncertainties of laminar flame velocity, maximal flame temperature, and maximal concentrations of radicals H, O, OH, CH, and CH(2) were investigated. Global uncertainty analysis methods included the Morris method, the Monte Carlo analysis with Latin hypercube sampling, and an improved version of the Sobol' method. Assumed probability density functions (pdf's) were assigned to the rate coefficients of all the 175 reactions and to the enthalpies of formation of the 37 species. The analyses provided the following answers: approximate pdf's and standard deviations of the model results, minimum and maximum values of the results at any physically realistic parameter combination, and the contribution of the uncertainty of each parameter to the uncertainty of the model result. The uncertainty of a few rate parameters and a few enthalpies of formation causes most of the uncertainty of the model results. Most uncertainty comes from the inappropriate knowledge of kinetic data, but the uncertainty caused by thermodynamic data is also significant.

Entities:  

Year:  2005        PMID: 16833293     DOI: 10.1021/jp053270i

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  2 in total

1.  Chemical kinetic model uncertainty minimization through laminar flame speed measurements.

Authors:  Okjoo Park; Peter S Veloo; David A Sheen; Yujie Tao; Fokion N Egolfopoulos; Hai Wang
Journal:  Combust Flame       Date:  2016-07-25       Impact factor: 4.185

2.  Development of a Joint Hydrogen and Syngas Combustion Mechanism Based on an Optimization Approach.

Authors:  Tamás Varga; Carsten Olm; Tibor Nagy; István Gy Zsély; Éva Valkó; Róbert Pálvölgyi; Henry J Curran; Tamás Turányi
Journal:  Int J Chem Kinet       Date:  2016-05-20       Impact factor: 1.462

  2 in total

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