基于MEA碳捕集过程的溶剂降解模型研究

Study on solvent degradation model based on MEA carbon capture process

目的吸收剂降解是工业烟气碳捕集过程中普遍存在的问题。目前,关于乙醇胺(MEA)溶剂降解的研究主要集中于单一的降解过程,缺乏对MEA溶剂降解过程完整机理模型的研究。提出了一种综合考虑MEA氧化降解和热降解的溶剂降解模型,使其能够更为准确地预测实际工业生产过程。方法建立了反应器的动态模型,并利用粒子群(PSO)算法,基于MEA溶剂降解的实验数据,构建了数据驱动的MEA溶剂降解模型。基于实际工厂数据,建立了一个包含MEA溶剂降解过程的稳态模型,并对关键设备中溶剂的降解情况进行了详细分析。在此基础之上,讨论了工艺参数对溶剂降解的影响,并提出在实际生产过程中有效降低溶剂降解的操作方法与建议。结果该模型的预测结果和实际工业生产数据较为吻合,可有效预测工业烟气碳捕集过程中MEA溶剂的降解情况,并在优化工艺操作参数方面表现出较大的潜力。结论该模型的建立可为碳捕集的模拟研究和工艺设计提供重要的参考。

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.