Abstract: Kinetic analysis is essential for understanding the combustion characteristics of fuels. However, the heterogeneous and multi-component nature of municipal solid waste （MSW） poses significant challenges in kinetic studies of co-combustion processes. To address this, a multi-stage distributed activation energy model （M-DAEM） was employed to quantify the complex combustion behavior.The combustion characteristics and kinetic parameters of household biomass （wood chips） blended with raw MSW were systematically investigated through thermogravimetric-derivative thermogravimetric （TG−DTG） analysis. Three combustion indices—ignition characteristic index, burnout characteristic index, and comprehensive combustion characteristic index—were applied to quantitatively evaluate the samples. The samples were categorized into three pseudo-components （light volatiles, heavy volatiles, and fixed carbon）, and the M-DAEM was established to optimize kinetic parameters using an adaptive pattern search algorithm combined with the least squares method.The model exhibited excellent agreement with experimental data, achieving an adjusted coefficient of determination （adjR²） exceeding 0.9995. The overall activation energy distribution ranged from 156.051 to 167.335 kJ/mol. Co-combustion with wood chips reduced the activation energy of MSW due to synergistic effects during thermal degradation, while the ash generated from wood chips partially inhibited combustion.A blending ratio of 25%–50% is recommended to achieve optimal comprehensive combustion performance without compromising fuel efficiency. These findings provide critical insights for optimizing MSW co-combustion systems, enhancing energy efficiency, and mitigating environmental impacts.