Reduction and Optimization for Detailed Kinetic Model of Methanol in Small-scale Combustion

Abstract:

The directed relation graph with error propagation （DRGEP）， full species sensitivity analysis （FSSA） and directed relation graph with path flux analysis （DRGPFA） were used to reduce the mechanism of methanol. Based on the reduced mechanism， the key primitive reactions were found by sensitivity analysis， then their pre-exponential factors were adjusted by coarse perturbation and refinement perturbation analysis which were on this basis of pre-factor perturbation method， to obtain the optimal optimization mechanism and verify it. The results show that the FSSA reduced mechanism has 16 species and 65 reactions， which can accurately predict ignition delay time and laminar flame velocity. The prediction accuracy of the V6-3-4 optimized mechanism is better than that of the FSSA reduced mechanism， and the predicted value is much closer to the experimental value than the detailed mechanism.