1. Dynamic Reduced Order Models for Simulating BubblingFluidized Bed Adsorbers.
- Author
-
Mingzhao Yu, David C. Miller, and Lorenz T. Biegler
- Subjects
- *
FLUIDIZED-bed combustion , *CHEMICAL reduction , *CHEMICAL processes , *NUMERICAL analysis , *EIGENVALUES , *CARBON sequestration - Abstract
Spatiallydistributed first-principles process models provide anaccurate physical description of chemical processes, but lead to large-scalemodels whose numerical solution can be challenging and computationallyexpensive. Therefore, fast reduced order models are required for model-basedreal-time applications, such as advanced process control and dynamicreal-time optimization. In this paper, we focus on the model reductionof a bubbling fluidized bed (BFB) adsorber, which is a key componentof a postcombustion carbon capture system. From a temporal aspect,dynamic reduced models are generated using the nullspace projectionand eigenvalue analysis method, with the basic idea of quasi-steadystate approximation for the states with fast dynamics. From a spatialaspect, dynamic reduced models are developed using orthogonal collocationand proper orthogonal decomposition to reduce the size of the rigorousmodel. Finally, a computationally efficient and accurate dynamic reducedmodel is developed for the BFB adsorber by combining temporal andspatial model reduction techniques, which is suitable for an onlineoptimization-based control strategy. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF