In the practical engineering application of carbon capture and separation of blast furnace gas in steel plant, process parameter optimization is one of the effective ways to reduce the energy consumption of carbon capture system regeneration. In order to explore the influence of the interaction between the factors of carbon capture system on the regeneration energy consumption of regeneration tower, this work takes the blast furnace gas alcoholamine solution absorption CO2 capture system as the research object, combines Aspen Plus with response surface methodology (RSM) to study the lean liquid temperature, lean liquid load, and regeneration tower pressure on the carbon capture system regeneration energy consumption influences. The accuracy of the numerical model was verified by comparing with the experimental data in literature, on this basis, the Aspen Plus simulation data was used as a sample, and the regenerative energy consumption in the sample was used as the response value. The mathematical model was established using the response surface method to obtain the optimized parameter combination with the lowest regenerative energy consumption. The numerical simulation results showed that the lean liquid temperature, the lean liquid load, and the regeneration tower pressure all had significant effects on the regeneration energy consumption, and there was an obvious interaction effect between lean liquid load and regeneration tower pressure. The interaction between the lean liquid temperature and the lean liquid load and the lean liquid load and the pressure of the regeneration tower showed that the change of the lean liquid load and the pressure of the regeneration tower affected the energy consumption of regeneration. The response surface optimization obtained the best process parameters: the lean liquid temperature of 30℃, the lean liquid load of 0.24 mol/mol, the regeneration tower pressure of 1.80×105 Pa, regeneration energy consumption of 3.12 GJ/t, which was 28.4% lower than that of the benchmark experimental program.