Predictive Models of Carbon Capture Systems and their Validation Using Bench Scale and Pilot Scale Data

机译：碳捕获系统的预测模型及其使用基准规模和中试规模数据的验证

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1. Developed validated modeling framework with UD capabilities for a gold standard model that is capable of accurate estimation in wide operating range both under steady-state and dynamic conditions 2. Developed dynamic model validation protocol 3. Model predicted the experimental data for the scaleup case satisfactorily 4. Demonstrated how synergistic coupling between experimental protocol and modeling methodology be mutually beneficial and informative- highly useful for scale up.

机译：1.为金标准模型开发具有UD功能的经过验证的建模框架，该模型能够在稳态和动态条件下在较宽的工作范围内进行准确估算2.开发出的动态模型验证协议3.模型为放大案例预测了实验数据令人满意的4.演示了实验方案与建模方法之间的协同耦合如何互惠互利，信息量大，对扩大规模非常有用。

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来源
《CO2 summit II: Technology and opportunity 2016》|2016年|365-377|共13页
会议地点 Santa Ana Pueblo NM(US)
作者
Joshua C. Morgan; Anderson Soares Chinen; Benjamin Omell; David C. Miller; Sarah Genovese; Debangsu Bhattacharyya;
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Department of Chemical Engineering, West Virginia University, Morgantown, WV 26506, USA;

Department of Chemical Engineering, West Virginia University, Morgantown, WV 26506, USA;

National Energy Technology Laboratory, 626 Cochrans Mill Rd, Pittsburgh, PA 15236, USA;

National Energy Technology Laboratory, 626 Cochrans Mill Rd, Pittsburgh, PA 15236, USA;

GE Global Research, One Research Circle, Niskayuna, NY 12309, USA;

Department of Chemical Engineering, West Virginia University, Morgantown, WV 26506, USA;

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Predictive Models of Carbon Capture Systems and their Validation Using Bench Scale and Pilot Scale Data

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