Modelling of entrained-bed pulverized coal gasifiers

Ubhayakar, S. K.; Stickler, D. B.; Gannon, R. E.

doi:10.1016/0016-2361(77)90009-6

Cited by 35 publications

(19 citation statements)

References 5 publications

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“…The decreasing temperature trend with the decreasing oxygen/fuel ratio was present for both models. In the case of the reactor model, the final temperature was determined by both heat loss and generation in energy balance Equation (8), as discussed previously for carbon conversion. The comparison shows that the temperature of the reactor model is much higher than that of the equilibrium model.…”

Section: Mechanism Of Co Variation Between Reactor Model and Equilibrmentioning

confidence: 99%

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One-Dimensional Modeling of an Entrained Coal Gasification Process Using Kinetic Parameters

Hwang

Song

2016

Energies

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A one-dimensional reactor model was developed to simulate the performance of an entrained flow gasifier under various operating conditions. The model combined the plug flow reactor (PFR) model with the well-stirred reactor (WSR) model. Reaction kinetics was considered together with gas diffusion for the solid-phase reactions in the PFR model, while equilibrium was considered for the gas-phase reactions in the WSR model. The differential and algebraic equations of mass balance and energy balance were solved by a robust ODE solver, i.e., an semi-implicit Runge-Kutta method, and by a nonlinear algebraic solver, respectively. The computed gasifier performance was validated against experimental data from the literature. The difference in product gas concentration from the equilibrium model, and the underlying mechanisms were discussed further. The optimal condition was found after parameter studies were made for various operating conditions.

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Section: Mechanism Of Co Variation Between Reactor Model and Equilibrmentioning

confidence: 99%

“…Ubhayakar et al, used a one-dimensional flow model that considered axial mixing. However, they neglected the solid phase reactions and considered only the gas-phase reactions of volatile products [8]. Wen and Chaung adopted a cell-in-series approach to describe the mixing in a Texaco pilot plant entrained flow gasifier [9].…”

Section: Introductionmentioning

confidence: 99%

One-Dimensional Modeling of an Entrained Coal Gasification Process Using Kinetic Parameters

Hwang

Song

2016

Energies

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“…which gives a temperature rise in the gas phase at the end of the irradiation zone, assuming uniformity throughout the gas, of (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12) or As can be seen from Figure 2-10, the temperature rise is only significant for the low heating rate, 10 4 K/s, U1e higi"er heating rates giving an almost negligible increase in gas temperature.…”

Section: {2-1)mentioning

confidence: 96%

“…9. = S-L/4 (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13) where L is the length of the test region (and, hence, the laser irradiation zone) and sis the nozzle assembly dimension. This is derived on the basis of a typical turbulent jet core being approximately 4s in lengtr.. For flow rates to be minimized, the nozzle is taken to be square.…”

Section: Figure2-13mentioning

confidence: 99%

Volatile production during preignition heating. Final technical report, 15 September 1980-30 September 1982

Ballantyne¹,

Chou²,

Flusberg³

et al. 1983

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“…Several gasifier models have been developed in the literature from 1-D (Kasule et al, 2012;Ubhayakar and Stickler, 1977;Wen and Chaung, 1979;Govind and Shah, 1984;Bearth, 1996) to more complex 3-D and computational fluid dynamics (CFD) models (Chen et al, 2000;Liu et al, 2000;Wanatabe, 2006). Literature on slag layer modeling is sparse.…”

Section: Gasifiermentioning

confidence: 99%

Modeling and Simulation of Components in an Integrated Gasification Combined Cycle Plant for Developing Sensor Networks to Detect Faults

Pednekar¹

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The goal of this work is to help synthesize a sensor network to detect and diagnose faults and to monitor conditions of the key equipment items. Faults or events that lead to loss in productivity occur over time. These faults, if not detected and mitigated at an early stage, can lead to severe loss in productivity, efficiency, and equipment damage, and can be a safety hazard. The desired algorithm for sensor network design would provide information about the number, type and location of sensors that should be deployed for fault diagnosis and condition monitoring of a plant. In this work, the focus was on the integrated gasification combined cycle (IGCC) power plant where the faults at the equipment level and the plant level are considered separately. At the plant level, the objective is to observe whether a fault has occurred or not and identify the specific fault. For component-level faults, the objective is to obtain quantitative information about the extent of a particular fault. For the model-based sensor network design, high-fidelity process model of the IGCC plant is the key requirement.

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Modelling of entrained-bed pulverized coal gasifiers

Cited by 35 publications

References 5 publications

One-Dimensional Modeling of an Entrained Coal Gasification Process Using Kinetic Parameters

One-Dimensional Modeling of an Entrained Coal Gasification Process Using Kinetic Parameters

Volatile production during preignition heating. Final technical report, 15 September 1980-30 September 1982

Modeling and Simulation of Components in an Integrated Gasification Combined Cycle Plant for Developing Sensor Networks to Detect Faults

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