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Dynamic Data Reconciliation and Model Validation of a MEA-Based CO2 Capture System using Pilot Plant Data

机译:使用中试工厂数据的基于MEA的CO 2 捕获系统的动态数据协调和模型验证

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摘要

This work focuses on development of a “gold standard” process model for a MEA-based post-combustion CO 2 capture process. The steady-state model includes a comprehensive thermodynamic framework in conjunction with the chemistry model. Parameters for all thermodynamic, transport, and physical properties models are regressed using extensive data available in the literature. An integrated mass transfer model is developed and validated using experimental data. The steady-state model is validated using data collected from the U.S. DOE’s National Carbon Capture Center (NCCC) in Wilsonville, Alabama. In addition to the steady-state runs, dynamic test runs were conducted at NCCC by introducing carefully-designed step changes and recording the transients of all key variables. Due to measurement noise and missing measurements for a number of key variables, a dynamic data reconciliation problem was solved to ensure material and energy balance of the collected data. Both the steady-state and dynamic models were validated against plant data for a wide range of operating conditions.
机译:这项工作的重点是为基于MEA的燃烧后CO 2捕集工艺开发“黄金标准”工艺模型。稳态模型包括与化学模型结合的综合热力学框架。使用文献中提供的大量数据对所有热力学,输运和物理特性模型的参数进行回归。使用实验数据开发并验证了集成的传质模型。使用从美国能源部位于阿拉巴马州威尔逊维尔的国家碳捕集中心(NCCC)收集的数据验证了稳态模型。除了稳态运行外,还通过引入精心设计的阶跃变化并记录所有关键变量的瞬态,在NCCC上进行了动态测试。由于测量噪声和许多关键变量缺少测量值,因此解决了动态数据协调问题,以确保所收集数据的物料和能量平衡。稳态和动态模型均针对各种运行条件下的工厂数据进行了验证。

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