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Technology Innovation Advancements for Shell Cansolv CO2 capture solvents

机译:技术创新与壳牌CACSOLV CO2捕获溶剂的进步

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This paper will present the most recent advancements in Shell Cansolv CO2 Capture Technology. The first part of the paper will focus on the CANSOLV DC201 solvent for CO2 capture performance. This solvent has been extensively tested in 2012, 2013 and 2014. It has been proven to be highly effective at reducing energy consumption for the CO2 capture plant, which is at a fixed CO2 removal efficiency ~ 90 %. A detailed description will be provided as to the methodology used by Shell Cansolv to develop a predictive simulation/model for CO2 capture applications. This methodology will be described in a general context, so the process can be applied in the development of other CO2 scrubbing amine solvents models. Instructions on the sequence of parameter estimation and regressions is provided; where it is important to commence model development with an accurate definition of pure component parameters followed by good representation for binary and ternary model parameters. The second part of the paper will explain how the model was developed with a comprehensive set of thermo-physical properties and validated with high quality pilot plant data (1-8 tons CO2/day). The acquisition of high quality pilot plant data is an essential part for the development of a predictive model. A commercial design can only be performed by Shell Cansolv once a simulation/model is validated with real plant data and appropriate margins are identified for critical variables.
机译:本文将在壳牌CACSOLV CO2捕获技术中提供最新的进步。本文的第一部分将集中在CACSolv DC201溶剂上进行二氧化碳捕获性能。该溶剂于2012年,2013年和2014年广泛测试。已被证明在降低CO2捕获植物的能耗方面,它已被证明是高效的,这是固定的二氧化碳去除效率〜90%。将提供详细描述,以便Shell CACSOLV用于开发CO2捕获应用程序的预测仿真/型号的方法。该方法将在一般背景中描述,因此该过程可以应用于其他CO2擦洗胺溶剂模型的开发。提供有关参数估计和回归序列的说明;在那里开始使用精确定义纯组件参数的模型开发,随后是二进制和三元模型参数的良好表示。本文的第二部分将解释该模型是如何通过全面的热物理性质开发的,并用高质量的试验工厂数据(1-8吨二氧化碳/天)进行验证。收购高质量的试验工厂数据是开发预测模型的重要组成部分。商业设计只能通过Shell Cansolv执行,一旦使用真实的工厂数据验证了仿真/型号,并且识别适当的边距用于临界变量。

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