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首页> 外文期刊>AIChE Journal >Model-Based Analysis of Chemical-Looping Combustion Experiments. Part I: Structural Identifiability of Kinetic Models for NiO Reduction
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Model-Based Analysis of Chemical-Looping Combustion Experiments. Part I: Structural Identifiability of Kinetic Models for NiO Reduction

机译:基于模型的化学循环燃烧实验分析。第一部分:NiO还原动力学模型的结构可识别性

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摘要

To guide the design of chemical-looping combustion (CLC) systems, the use of accurate models is crucial. The reduction kinetics between NiO and CH4 is uncertain, in regards to the most suitable kinetic mechanism and reaction network. A framework for structural identifiability analysis is developed and applied to evaluate the candidate kinetic models for the NiO-CH4 reaction. The identifiability of kinetic parameters of different model structures is analyzed and compared. Models that lack structural identifiability of their kinetic parameters are rejected in the analysis. From a total of 160 possible candidate models, 4 kinetic models are found to be identifiable with respect to their kinetic parameters and distinguishable from different model structures. This structural identifiability analysis paves the way for model-based design of experiments, which is the subject of Part II of this work. (c) 2016 American Institute of Chemical Engineers
机译:为了指导化学循环燃烧(CLC)系统的设计,使用精确的模型至关重要。关于最合适的动力学机理和反应网络,NiO和CH4之间的还原动力学尚不确定。开发了结构可鉴定性分析的框架,并将其用于评估NiO-CH4反应的候选动力学模型。分析并比较了不同模型结构动力学参数的可识别性。缺乏动力学参数结构可识别性的模型在分析中被拒绝。从总共160个可能的候选模型中,发现4个动力学模型的动力学参数是可识别的,并且可以与不同的模型结构区分开。这种结构可识别性分析为基于模型的实验设计铺平了道路,这是本文第二部分的主题。 (c)2016美国化学工程师学会

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