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在基于溶剂的CO2捕获试点工厂中进行动态测试运行的实验设计.

Anderson Soares Chinen1,2, Joshua C Morgan1,3, Debangsu Bhattacharyya1

  • 1Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States.

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动态实验通过比稳定状态运行更快地收集更多数据来最大限度地提高试点工厂的学习速度. 这项研究设计了使用伪随机二进制序列和施罗德相信号进行动态实验,以有效估计参数.

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科学领域:

  • 化学工程是化学工程的重要组成部分.
  • 工艺系统工程 工艺系统工程

背景情况:

  • 试点工厂的测试运行是资源密集的,通常依赖于长时间的稳定状态数据收集.
  • 动态测试运行提供了一种更有效的方法,可以在更短的时间内收集大量数据.

研究的目的:

  • 呈现动态实验 (DoDEs) 的系统设计,以提高模型参数的识别性.
  • 为了比较不同的动态输入信号对参数估计的有效性.

主要方法:

  • 设计了使用伪随机二进制序列 (PRBS) 和施罗德阶段多元输入信号的动态实验.
  • 在试点溶剂测试单元 (PSTU) 进行测试,以收集暂时数据.
  • 在收集的数据中应用动态数据协调和参数估计技术.

主要成果:

  • 动态实验与无反应系统中数百次稳定状态运行相比,产生了优异的参数估计.
  • 使用MEA-H2O-CO2系统仅24小时的动态数据,可以实现准确的参数估计.

结论:

  • 动态实验是试点工厂研究的高效方法,大大减少了数据收集时间.
  • 设计的DoDE能够进行可靠的参数估计,提高模型准确性和试点工厂的资源利用率.