Dynamic Reduced Order Models for Simulating Bubbling Fluidized Bed Adsorbers
Dynamic Reduced Order Models for Simulating Bubbling Fluidized Bed Adsorbers
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DOI：
10.1021/acs.iecr.5b01270
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发表时间：
2015-07
影响因子：
4.2
通讯作者：
Mingzhao Yu;David C. Miller;L. Biegler
中科院分区：
文献类型：
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作者：
Mingzhao Yu;David C. Miller;L. Biegler
空间分布的第一性原理过程模型提供了化学过程的精确物理描述，但导致大规模的模型，其数值解可能是具有挑战性的和计算昂贵的。因此，基于模型的实时应用，如先进的过程控制和动态实时优化，需要快速降阶模型。在本文中，我们专注于鼓泡流化床（BFB）吸附器，这是一个燃烧后碳捕集系统的关键组成部分的模型简化。从时间的角度来看，使用零空间投影和特征值分析方法，与准稳态近似的快速动态的状态的基本思想，动态约简模型生成。从空间角度出发，利用正交配置和适当的正交分解来减小严格模型的规模。最后，一个计算效率和准确的动态简化模型的BFB…
Spatially distributed first-principles process models provide an accurate physical description of chemical processes, but lead to large-scale models whose numerical solution can be challenging and computationally expensive. Therefore, fast reduced order models are required for model-based real-time applications, such as advanced process control and dynamic real-time optimization. In this paper, we focus on the model reduction of a bubbling fluidized bed (BFB) adsorber, which is a key component of a postcombustion carbon capture system. From a temporal aspect, dynamic reduced models are generated using the nullspace projection and eigenvalue analysis method, with the basic idea of quasi-steady state approximation for the states with fast dynamics. From a spatial aspect, dynamic reduced models are developed using orthogonal collocation and proper orthogonal decomposition to reduce the size of the rigorous model. Finally, a computationally efficient and accurate dynamic reduced model is developed for the BFB...