基于响应曲面法的高炉煤气CO2吸收工艺参数优化

工艺参数优化是降低碳捕集系统再生能耗的有效途径之一。以高炉煤气醇胺溶液吸收CO2捕集系统为研究对象，将Aspen Plus与响应曲面法(RSM)相结合，研究贫液温度、贫液负荷、再生塔压力对碳捕集系统再生能耗的影响。在此基础上以Aspen Plus模拟数据为样本，并以样本中的再生能耗为响应值，利用响应曲面法建立数学模型，获得再生能耗最低的优化参数组合。结果表明，贫液温度、贫液负荷、再生塔压力对再生能耗均具有显著性影响，且贫液负荷和再生塔压力存在明显交互效应；贫液温度和贫液负荷及贫液负荷和再生塔压力各自间的交互作用表明，贫液负荷和再生塔压力的变化会影响再生能耗的大小；响应曲面优化得到最佳工艺参数：贫液温度30℃、贫液负荷0.24 mol/mol、再生塔压力1.80×105 Pa、再生能耗3.12 GJ/t，相比基准实验方案再生能耗下降28.4%。

Optimization of CO2 absorption process parameters of blast furnace gas based on response surface methodology

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.