Multiphysics Simulations of Entrained Flow Gasification. Part I: Validating the Nonreacting Flow Solver and the Particle Turbulent Dispersion Model

Kumar, Mayank; Ghoniem, Ahmed F.

doi:10.1021/ef200884j

Cited by 50 publications

(21 citation statements)

References 41 publications

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“…As mentioned above, the recirculation of gases between the JEZ to the ERZ is one of the most important parameter to be assigned. Ideally, it should be provided by CFD simulations [13] [14], which are currently not available for this family of gasifiers. Thus, this value was determined as in [7], using the method of Thring and Newby [15].…”

Section: Reduced Order Modelmentioning

confidence: 99%

Reduced order modeling of the Shell–Prenflo entrained flow gasifier

Gazzani

Manzolini

Macchi

et al. 2013

Fuel

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Pre-combustion capture applied to an Integrated Gasification Combined Cycle is a promising solution for greenhouse gas emission's mitigation. For optimal design and operation of this cycle, detailed simulation of entrained flow gasifiers and their integration in the flowsheet analysis is required. This paper describes the development of a Reduced Order Model (ROM) for the ShellPrenflo gasifier family, used for chemicals and power production because of its high efficiency and compatibility with a wide range of coal quality. Different from CFD analysis, ROM is computationally very efficient, taking around 1 min in a typical desktop or laptop computer, hence enabling the integration of the gasifier model and the overall power plant flowsheet simulation. Because of the gasifier complexity, which includes several gas recirculation loops and a membrane wall, particular attention is paid to: (i) the two-phase heat exchange process in the gasifier wall; and, (ii) the syngas quench process. Computed temperature, composition, velocity and reaction rate profiles inside the gasifier show good agreement with available data. The calculated Cold Gas Efficiency is 82.5%, close to the given value of 82.8%. Results and several sensitivity analyses describe the implementation of the model to explore the potential for operating gasifiers beyond the design point.

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Section: Reduced Order Modelmentioning

confidence: 99%

Reduced order modeling of the Shell–Prenflo entrained flow gasifier

Gazzani

Manzolini

Macchi

et al. 2013

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“…11 In addition, the coal particle sizes at the inlet are lesser than 100 micron in diameter and for such systems, the differences between gas and solid velocities are found to be negligible, even while considering the traditional SCM. 32 As the size of the detached slag droplets and the char particles in the SPM would be smaller than the char particles in the SCM, their velocity would also be expected to be close to the gas velocity. Therefore, the assumption that the char particles and detached slag droplets have similar velocities seems reasonable.…”

Section: Background and Descriptionmentioning

confidence: 99%

Development of a hybrid shrinking‐core shrinking‐particle model for entrained‐flow gasifiers

et al. 2015

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in Wiley Online Library (wileyonlinelibrary.com) Slagging entrained-flow gasifiers operate above the melting temperature of the ash. As slag is highly nonwetting on the surface of char (carbon) particles, it is likely that it will agglomerate into one or several slag droplets and some of these droplets can detach from the char particles. If the slag exists in the form of droplets on the char surface rather than as a solid shell around the unreacted char particle, a shrinking particle model would be more physically realistic representation in comparison to the widely used shrinking core model (SCM). In the early section of the gasifier, the temperature remains below the ash melting temperature and, therefore, the SCM is more appropriate in this region. With this motivation, a novel hybrid shrinking-core shrinking-particle model has been developed. The model provides spatial profile of a number of important variables that are not available from the traditional SCM.

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“…CFD analysis has been carried out by many researchers to understand gasification reactions [14][15][16][17][18][19][20][21][22][23]. Chen et al [14] performed CFD modeling of a 200-ton/day, two-stage, air-blown, entrained-bed gasifier (Mitsubishi Heavy Industry, Fukushima, Japan).…”

Section: Introductionmentioning

confidence: 99%

“…Luan et al [18] developed a three-dimensional numerical model of a 2230-ton/day E-Gas coal gasifier by using ANSYS FLUENT. Kumar and Ghoniem [19,20] described the construction, validation, and application of a multi-scale model of entrained flow gasification. While the validation of the turbulence and particle turbulent dispersion submodels was focused on Kumar and Ghoniem [19], the impact of suggested improvements in these submodels on the predictions of key output parameters was analyzed through appropriate sensitivity analyses in Kumar and Ghoniem [20].…”

Section: Introductionmentioning

confidence: 99%

“…Kumar and Ghoniem [19,20] described the construction, validation, and application of a multi-scale model of entrained flow gasification. While the validation of the turbulence and particle turbulent dispersion submodels was focused on Kumar and Ghoniem [19], the impact of suggested improvements in these submodels on the predictions of key output parameters was analyzed through appropriate sensitivity analyses in Kumar and Ghoniem [20]. Abani and Ghoniem [21] investigated multi-phase reacting flow in a coal-fed entrained flow gasifier using large-eddy simulations (LES) and Reynolds-averaged Navier-Stokes (RANS) models.…”

Section: Introductionmentioning

confidence: 99%

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3-D CFD Modeling for Parametric Study in a 300-MWe One-Stage Oxygen-Blown Entrained-Bed Coal Gasifier

2015

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Three-dimensional computational fluid dynamics (CFD) modeling of the gasification performance in a one-stage, entrained-bed coal gasifier (Shell Coal Gasification Process (SCGP) gasifier) was performed, for the first time. The parametric study used various O2/coal and steam/coal ratios, and the modeling used a commercial code, ANSYS FLUENT. CFD modeling was conducted by solving the steady-state Navier-Stokes and energy equations using the Eulerian-Lagrangian method. Gas-phase chemical reactions were solved with the Finite-Rate/Eddy-Dissipation Model. The CFD model was verified with actual operating data of Demkolec demo Integrated Gasification Combined Cycle (IGCC) facility in Netherlands that used Drayton coal. For Illinois #6 coal, the CFD model was compared with ASPEN Plus results reported in National Energy Technology Laboratory (NETL). For design coal used in the SCGP gasifier in Korea, carbon conversion efficiency, cold gas efficiency, temperature, and species mole fractions at the gasifier exit were calculated and the results were compared with those obtained by using ASPEN Plus-Kinetic. The optimal O2/coal and steam/coal ratios were 0.7 and 0.05, respectively, for the selected operating conditions.

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Multiphysics Simulations of Entrained Flow Gasification. Part I: Validating the Nonreacting Flow Solver and the Particle Turbulent Dispersion Model

Cited by 50 publications

References 41 publications

Reduced order modeling of the Shell–Prenflo entrained flow gasifier

Reduced order modeling of the Shell–Prenflo entrained flow gasifier

Development of a hybrid shrinking‐core shrinking‐particle model for entrained‐flow gasifiers

3-D CFD Modeling for Parametric Study in a 300-MWe One-Stage Oxygen-Blown Entrained-Bed Coal Gasifier

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