Analysis of carbon soot generation mechanism of biomass high temperature gasification based on improved moment method

In the context of the "carbon peaking and carbon neutral" strategy, the efficient utilization of biomass energy has ushered in new development opportunities. In order to realize the transformation of traditional energy structure, coupling biomass or biosynthesis gas with coal-fired power generation is an important development path. However, due to the complexity of biomass materials, there are still many challenges such as tar and pollutant generation in the current technology of preparing biosynthesis gas by thermochemical conversion method, especially in the pyrolysis gasification process, the generation of micro and nano particulate matter brings greater difficulties in the purification of syngas. Exploring the generation mechanism of biomass carbon soot and other fine particulate matter and its control method is an urgent problem to realize the large-scale industrial application of biomass energy.

The generation of biomass carbon soot involves a variety of physical and chemical reaction processes from molecular scale to macroscopic scale, which needs to be studied by a combination of numerical simulation and experimental methods. We propose a numerical simulation algorithm that can accurately predict the particle size distribution characteristics of carbon soot under gasification conditions, and carry out experiments to validate the algorithm. The algorithm is not only applicable to the simulation of biomass carbon soot, but also can open new ideas for the study of other types of particulate matter generation characteristics.