Objective The degradation of the absorbent is a common issue in the carbon capture process of industrial flue gas.Currently,the research on monoethanolamine(MEA)solvent degradation mainly focuses on a single degradation process,and there is a lack of research on the complete mechanism model of the MEA solvent degradation process.In order to obtain an accurate degradation kinetic model and enable it to predict the actual industrial production process more accurately,a solvent degradation model considering MEA oxidative degradation and thermal degradation was proposed.Methods The dynamic model of the reactor was established,and the particle swarm optimization(PSO)algorithm was utilized to construct a data-driven MEA solvent degradation model based on experimental data related to MEA solvent degradation.Based on actual plant data,a steady-state model,including the process of MEA solvent degradation,was developed,and a detailed analysis of the solvent degradation in critical equipment was conducted.On this basis,the influence of process parameters on solvent degradation was discussed,and the operation methods and suggestions for effectively reducing solvent degradation in the production process were put forward.Results The prediction results of the model were in good agreement with the actual industrial production data,which could effectively predict the degradation of MEA solvent in the process of carbon capture from industrial flue gas and showed great potential in optimizing the process operation parameters.Conclusion The establishment of this model can provide an essential reference for the simulation research and process design of carbon capture.
万方数据
维普
