Bubbling Fluidized Bed - Explore the Science & Experts | ideXlab

Scan Science and Technology

Contact Leading Edge Experts & Companies

Bubbling Fluidized Bed

The Experts below are selected from a list of 6966 Experts worldwide ranked by ideXlab platform

Lorenz T. Biegler – 1st expert on this subject based on the ideXlab platform

  • dynamic reduced order models for simulating Bubbling Fluidized Bed adsorbers
    Industrial & Engineering Chemistry Research, 2015
    Co-Authors: Mingzhao Yu, David C Miller, Lorenz T. Biegler

    Abstract:

    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…

  • Dynamic Reduced Order Models for Simulating Bubbling Fluidized Bed Adsorbers
    Industrial and Engineering Chemistry Research, 2015
    Co-Authors: Min Yu, D.c. Miller, Lorenz T. Biegler

    Abstract:

    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 adsorber by combining temporal and spatial model reduction techniques, which is suitable for an online optimization-based control strategy. © 2015 American Chemical Society.

Bo G Leckner – 2nd expert on this subject based on the ideXlab platform

  • numerical simulation of the fluid dynamics of a freely Bubbling Fluidized Bed influence of the air supply system
    Powder Technology, 2002
    Co-Authors: Eric Peirano, Filip Johnsson, Bo G Leckner, Olivier Simonin, V Delloume

    Abstract:

    Abstract Numerical simulations, based on an Eulerian approach, of a freely Bubbling Fluidized Bed (BFB) are performed where emphasis is put on the importance of the inlet boundary conditions (influence of the pressure drop of the air distributor on the state of fluidization). The numerical results are compared with local instantaneous pressure measurements and time-averaged measurements (Bed height, mean particle concentration). The closure of the Eulerian model is treated as follows: the drift velocity is modelled with a binary dispersion coefficient, gas-phase (continuous phase) fluctuations are modelled with a modified two-equation k1–ϵ1 model, and particle-phase (discrete phase) fluctuations are also descriBed by a two-equation k2–k12 model derived from the kinetic theory of granular flow (modified to account for the interstitial gas) and a Langevin equation. The numerical computations (of a Bubbling Fluidized Bed) predict qualitatively the experimental values, which shows that there is a coupling between the Bed and the air supply system.

  • Bed-to-wall heat transfer in a 10m2 Bubbling Fluidized Bed
    , 1994
    Co-Authors: Bengt-Åke Andersson, Bo G Leckner

    Abstract:

    The heat transfer is measured on the membrane tube wall in contact with a Bubbling Fluidized Bed boiler. Measurements are carried out by heat transfer meters through holes in the wall both in the Bed and above the Bed in the splash zone and freeboard. Heat transfer coefficients are given and compared with previous measurements of material loss at the same wall and under the same conditions (typical for a Fluidized Bed boiler)

  • expansion of a freely Bubbling Fluidized Bed
    Powder Technology, 1991
    Co-Authors: Filip Johnsson, Sven B Andersson, Bo G Leckner

    Abstract:

    Abstract The expansion of a freely Bubbling Fluidized Bed is studied over a range of particle properties and gas velocities that applies to Fluidized Bed boilers. A Bed expansion model is derived from a modified two-phase flow model. The results from the model are compared with measurements in both a cold two-dimensional Bed and a 16 MW th Fluidized Bed boiler, as well as with data found in the literature. The model represents experimental results for sand particles of a diameter ranging from 0.15 mm to 4.0 mm and with gas velocities up to 3 m s −1 .

David C Miller – 3rd expert on this subject based on the ideXlab platform

  • dynamic reduced order models for simulating Bubbling Fluidized Bed adsorbers
    Industrial & Engineering Chemistry Research, 2015
    Co-Authors: Mingzhao Yu, David C Miller, Lorenz T. Biegler

    Abstract:

    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…

  • a one dimensional 1 d three region model for a Bubbling Fluidized Bed adsorber
    Industrial & Engineering Chemistry Research, 2012
    Co-Authors: David C Miller

    Abstract:

    A general one-dimensional (1-D), three-region model for a Bubbling FluidizedBed adsorber with internal heat exchangers has been developed. The model can predict the hydrodynamics of the Bed and provides axial profiles for all temperatures, concentrations, and velocities. The model is computationally fast and flexible and allows for any system of adsorption and desorption reactions to be modeled, making the model applicable to any adsorption process. The model has been implemented in both gPROMS and Aspen Custom Modeler, and the behavior of the model has been verified.