Dynamic Process Model Development and Validation with Transient Plant Data Collected from an MEA Test Campaign at the CO2 Technology Center Mongstad
Dynamic Process Model Development and Validation with Transient Plant Data Collected from an MEA Test Campaign at the CO2 Technology Center Mongstad
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使用从 CO2 技术中心 Mongstad 的 MEA 测试活动中收集的瞬态工厂数据进行动态过程模型开发和验证
DOI：
10.1016/j.egypro.2017.03.1284
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
O. Bolland
中科院分区：
文献类型：
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作者：
Rubén M. Montañés;N. Flø;R. Dutta;L. Nord;O. Bolland
本工作的重点是开发和验证的燃烧后CO2化学吸收过程的动态过程模型与变温吸收（TSA）使用水溶液单乙醇胺（MEA）作为溶剂。一组新的稳态和瞬态的情况下，在MEA测试活动中产生的胺中试工厂在CO2技术中心Mongstad（TCM DA）。九个稳态的情况下，包括广泛的操作条件的工厂和两个瞬态测试组成的烟气体积流量阶跃变化的动态过程模型验证的目的，利用整个中试工厂的过程模型。结果表明，调整模型参数后，动态过程模型能够准确地估计吸收塔和汽提塔的温度分布。该模型对贫CO2负荷和富CO2负荷的预测均过高，贫负荷的平均百分比误差<1.5%，富负荷的平均百分比误差<6.7%。此外，已观察到CO2产物流速的预测不足（<5%）。该过程模型能够预测稳态操作条件范围内的贫和富负荷的可变性。过程模型捕捉了中试装置在烟气体积流量设定点阶跃变化下的主要过程动态。
This work focuses on the development and validation of a dynamic process model of the post-combustion CO2chemical absorption process with temperature swing absorption (TSA) using aqueous monoethanolamine (MEA) as solvent. A new set of steady-state and transient cases were generated during an MEA test campaign at the amine pilot plant at CO2Technology Center Mongstad (TCM DA). Nine steady-state cases comprising a wide range of operating conditions of the plant and two transient tests consisting of flue gas volumetric flow rate step-changes were utilized for the purpose of dynamic process model validation of the overall pilot plant process model. It is concluded that the dynamic process model is capable of estimating the absorber and stripper columns temperature profiles with good accuracy after tuning of model parameters. An over-prediction of the model for lean and rich CO2loadings has been reported, being mean percentage errors <1.5% for lean loading and <6.7% for rich loading. In addition, an under prediction of CO2product flow rate has been observed (<5%). The process model is capable of predicting the variability of lean and rich loadings for the range of steady-state operating conditions. The main process dynamics of the pilot plant under flue gas volumetric flow rate set-point step changes is captured by the process model.