Abstract: In order to achieve the “carbon peaking and carbon neutrality” goal, China's ironmaking industry is facing a major challenge of energy saving and emission reduction. The study of the evolution of thermochemical behaviors during the transition from conventional blast furnaces to low-carbon blast ones plays an important guiding and promoting role in the green and low-carbon development of ironmaking technology. In this work, a coupled computational fluid dynamics and discrete element method (CFD-DEM) approach was employed to investigate the instantaneous effects of the dynamic changes of batch weight on the temperature field, cohesive zone and iron ore reduction degree distribution in the blast furnace. The results showed that when the batch weight reduced by 21.50%, the average solid temperature, cohesive zone height and average iron ore reduction degree were reduced by 5.81%, 7.18% and 3.08%, and vice versa. It was found that the main operating parameters and characteristics could be restored to their previous levels when the batch weight was reduced or added to about 21.50% for this studied experimental blast furnace. Additionally, the restoration time cost of the transition process between the two dynamic equilibriums gradually decreased due to the adjustment of batch weight. In addition, the higher the average temperature of the inner burden, the faster it will reach a new dynamic equilibrium during batch weight variation.