Dynamic modeling for simulation and control of a circulating fluidized‐bed combustor

Muir, James R.; Brereton, Clive; Grace, John R.; Lim, C. Jim

doi:10.1002/aic.690430503

Cited by 23 publications

(16 citation statements)

References 13 publications

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“…Legros et al ( 1995) and Marmo et al ( 1995) divided the riser into 2 parts with the lower dense region being considered as a perfectly mixed turbulent bed rather than in plug flow. The solids are considered either well-mixed (Arena et al, 1995), in plug flow (Muir et al, 1997;Saraiva et al, 1993), or in bubbling bed mode (Saraiva et al, 1993;Zhang et al, 1991).…”

Section: Circulating Fluidized Bed Reactor Modelsmentioning

confidence: 99%

“…Accurate reactor modeling requires hydrodynamics, heat and mass transfer, as well as reaction kinetics, in order to predict reactor performance. Several CFB modeling approaches lead to models with different degrees of sophistication (Grace and Lim, 1997;Hyppanen et al, 1991;Gidaspow, 1994). While the cyclone, downer or annulus are commonly treated as well mixed or plug flow systems, the riser modeling varies a lot: from homogeneous to heterogeneous modeling, from single-region to multiple-region modeling and from OD to 3D modeling, or a combination of these approaches.…”

Section: Circulating Fluidized Bed Reactor Modelsmentioning

confidence: 99%

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Modeling of an internally circulating fluidized bed reactor for thermal treatment of industrial solid wastes

1999

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A predictive mathematical model is developed to describe and characterize the key design variables of a novel Internal Circulating Fluidized Bed Combustor. The model is based on fundamental principles of heat transfer, mass transfer, hydrodynamics and reaction kinetics. Under justifiable assumptions unsteady state mathematical equations are written and solved. The input parameters of the model are gas and solid flowrates, solid circulation flux, as well as physical properties of gas and solids, The model allows to predict and to investigate the temperature, the combustible conversion, the oxygen concentration, the residence time, the voidage and the solid velocity in the riser. Experiments with spent foundry sand are undertaken in order to assess the validity of the model. The predictions for the transition period of heating clean sand and the treatment of waste compare satisfactorily to the experimental data.Un modele mathematique predictif est developpe pour decrire et caracteriser les parametres importants dans la conception d'un nouveau reacteur a lit fluidis6 circulant interne. Le modele est base sur les principes fondamentaux de transfert de chaleur, de transfert de masse, d'hydrodynamique et de cinetique de reaction. En posant des hypotheses justifiables, les equations mathematiques du regime transitoire sont ecrites et resolues. Les parametres d'entree au modele sont : les debits du gaz et du solide, le taux de circulation ainsi que les proprietes physiques des differentes phases. Le modele permet de predire la conversion, la concentration de I'oxygene, le temps de sejour, la porosite et la vitesse des particules solides dans le tube de montee. Les donnees experimentales pour la validation du modkle proviennent du traitement thermique de sable fonderie utilise comme dechet representatif. Les predictions du modele et les resultats experimentaux se comparent d'une maniere satisfaisante pour la periode de prechauffage de sable propre et le traitement du dechet.

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Section: Circulating Fluidized Bed Reactor Modelsmentioning

confidence: 99%

Section: Circulating Fluidized Bed Reactor Modelsmentioning

confidence: 99%

Modeling of an internally circulating fluidized bed reactor for thermal treatment of industrial solid wastes

1999

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“…Suppose the state space is partitioned into a number of regions as , which can be approximated by a degenerate ellipsoid [30], , with and . Then we have the following inequality for this ellipsoid region: (6) which can be applied in the -procedure to the LMIs in (5) as in [13], [30], and [31]. Note that .…”

Section: B Piecewise Quadratic Stabilitymentioning

confidence: 98%

“…With the development of modern control theory, model-based control strategies such as generalized predictive control (GPC) are available for the optimization and control of FBC process system [3], [6]. The GPC approach has been developed on the linear FBC model; thus, its transient control performance may deteriorate, even lead to instability due to large load changes of the FBC plant.…”

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confidence: 99%

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Robust Constrained Fuzzy Affine Model Predictive Control With Application to a Fluidized Bed Combustion Plant

Zhang

Feng

et al. 2008

IEEE Trans. Contr. Syst. Technol.

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In this paper, robust constrained model predictive control of uncertain fuzzy affine systems is considered. Based on piecewise quadratic Lyapunov functions, highly efficient robust constrained predictive control approaches are developed so that the closed-loop stability is guaranteed, and the transient control performance is improved even under input or state constraints. Moreover, by using approximate ellipsoid and -procedure, the solution to the fuzzy affine model based predictive control can be cast as a convex optimization problem subject to some linear matrix inequalities, rather than a nonconvex problem via bilinear matrix inequalities as in conventional fuzzy affine model-based control. The proposed controllers are thus easier for real-time implementation in industry. Simulation results on the fluidized bed combustion plant have demonstrated the performance of the proposed approaches.Index Terms-Fluidized bed combustion, fuzzy systems, model predictive control, piecewise quadratic Lyapunov functions, robustness.

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Modeling of Circulating Fluidized Bed Combustion

Wang

2010

Handbook of Combustion

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Circulating fluidized bed (CFB) combustion has found increasing industrial applications worldwide. Good design, operation and scale‐up of CFB combustors rely on thorough understanding of the complex multiphase fluid dynamics as well as the coupling between flow, heat/mass transfer, and reaction kinetics over a wide range of scales as to time and space. Simulation of these coupled processes play an important role that is complementary to experiments. This chapter reviews the currently available modeling approaches for CFB combustion, including various correlations, as well as computational fluid dynamics (CFD) based approaches, with emphasis on the so‐called multiscale CFD approach. Some basic issues of the multiscale CFD approach, concerning drag force closure, mass transfer coefficients, and mass conservations are addressed with appropriate solutions. A general scheme towards multiscale modeling of CFB combustion, together with a simulation example for a 150 MWe boiler, is recommended finally for future practices.

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Dynamic modeling for simulation and control of a circulating fluidized‐bed combustor

Cited by 23 publications

References 13 publications

Modeling of an internally circulating fluidized bed reactor for thermal treatment of industrial solid wastes

Modeling of an internally circulating fluidized bed reactor for thermal treatment of industrial solid wastes

Robust Constrained Fuzzy Affine Model Predictive Control With Application to a Fluidized Bed Combustion Plant

Modeling of Circulating Fluidized Bed Combustion

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