以集成MVR解析系统胺法碳捕集工艺装置为研究对象,以燃煤电厂典型烟气组分作为设计输入,采用Aspen HYSYS (14.0)模拟软件建立全流程工艺模型,在此基础上进行碳捕集工艺流程能耗分布分析。并对能耗占比最高的MVR解析系统重点研究,分析并优化了富液进塔温度、解析压力、闪蒸压力和二次蒸气终压等关键影响因素,基于MVR解析系统的优化对碳捕集工艺系统进行整体优化,研究结果表明,MVR解析系统能耗占碳捕集工艺系统总能耗的83.77%,对MVR解析系统关键参数优化后,再生的贫液碳负载为0.126 mol/mol,CO₂解析率提高至92.89%,解析系统性能达到最优,同时解析单元的单位再生能耗降低至1.92 GJ/t,碳捕集系统的综合能耗降低至2.337 GJ/t,较优化前降低幅度达到8.1%,节能效果显著。

Taking an amine-based carbon capture process unit integrated with an mechanical vapor recompression (MVR) stripping system as the subject of study,and using typical flue gas components from a coal-fired power plant as design inputs,a full-process simulation model was established using Aspen HYSYS (14.0) simulation software.Based on this model,an analysis of the energy consumption distribution within the carbon capture process was conducted.The MVR stripping system,which accounts for the highest proportion of energy consumption,was examined in detail.Key influencing factors—including the feed temperature of the rich solution,stripping pressure,flash pressure,and final secondary steam pressure—were analyzed and optimized.Based on the optimization of the MVR stripping system,the overall carbon capture process system was optimized.The results indicate that the MVR stripping system accounts for 83.77% of the total energy consumption of the carbon capture process system.After optimizing the key parameters of the MVR stripping system,the carbon loading of the lean liquid in the regeneration process was 0.126 mol·mol^-1,the CO₂ stripping efficiency increased to 92.89%,and the stripping system performance reached its optimal level.Concurrently,the unit energy consumption for regeneration in the stripping unit was reduced to 1.92 GJ·t^-1.The comprehensive energy consumption of the carbon capture system was reduced to 2.337 GJ·t^-1,representing a reduction of 8.1% compared to pre-optimization levels,demonstrating significant energy-saving effects.