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Lean premixed methane-air flames are investigated in an effort to facilitate the numerical description of CO and NO emissions in LPP (lean premixed prevaporized) combustion systems. As an initial step, the detailed mechanism describing the fuel oxidation process is reduced to a four-step reduced description that employs CO, H 2 and OH as intermediates not following a steady-state approximation. It is seen that, under conditions typical of LPP combustion, the mechanism can be further simplified to give a two-step description, in which fuel is consumed and CO is produced according to the fast overall step CH 4 + f 0 2 -*• CO + 2H 2 0, while CO is slowly oxidized according to the overall step CO + |0a -*• CO2-Because of its associated fast rate, fuel consumption takes place in thin layers where CO, H2 and OH are all out of steady state, while CO oxidation occurs downstream in a distributed manner in a region where CO is the only intermediate not in steady state. In the proposed description, the rate of fuel consumption is assigned a heuristic Arrhenius dependence that adequately reproduces laminar burning velocities, whereas the rate of CO oxidation is extracted from the reduced chemistry analysis. Comparisons with results obtained with detailed chemistry indicate that the proposed kinetic description, not only reproduces well the structure of one-dimensionai flames, including profiles of CO, temperature and radicals, but can also be used to calculate NO emissions by appending an appropriate reduced chemistry description that includes both the thermal and the N 2 0 production paths. Although methane is employed in the present study as a model fuel, the universal structure of the resulting CO oxidation region, independent of the fuel considered, enables the proposed formulation to be readily extended to other hydrocarbons. INTRODUCTIONPollutant emissions have become one of the limiting factors when designing combustion chambers of gas turbine engines. In general, traditional design methodologies, largely based on empirical correlations, fail to provide reliable predictions of CO and NO emissions. With the ever increasing computer power, the numerical computation of the associated reacting flow fields has become a commonly used design tool. For the numerical results to be meaningful, the computations must incorporate adequate models for the turbulent flow field, as well as an accurate representation for the underlying chemistry. The chemistry descriptions currently utilized