Computational fluid dynamic simulations of coal-fired utility boilers: An engineering tool

Korytnyi, Efim; Saveliev, Roman; Perelman, Miron; Chudnovsky, B.; Bar‐Ziv, Ezra

doi:10.1016/j.fuel.2008.08.010

Cited by 53 publications

(24 citation statements)

References 28 publications

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“…The generalized theory of flame propagation shows that the ignition process is influenced predominantly by: the gas and particles heatup rate, the rate of coal devolatilisation, the diffusion rate of gaseous fuel and oxidizer species, and the rate of gas-phase reaction of devolatilisation products and oxygen. Although commercial CFD codes are able to predict fluid dynamics and transport phenomena fairly well, and thus volatile combustion as well to some extent, the main limitation of CFD modelling of coal ignition comes from sub-models for devolatilisation and char combustion [8]. The main reason for this is that commercial CFD codes still use simple sub-models for devolatilisation and char combustion.…”

Section: Ignition Phenomena Experimental and Numerical Investigationmentioning

confidence: 99%

“…The initial volatile composition values in weight fractions used as input for Eqs. (8) and (9) are estimated from the following correlations [35,36]: …”

Section: Implementation Of Fg Modelmentioning

confidence: 99%

“…Volatile species mass inside devolatilising particle is obtained by integrating the system of equations (5), using boundary conditions defined by the system of equations (8), and relations (10). This procedure leads to the following expression for mass of volatile components remaining inside devolatilising particle in the discrete phase time t:…”

Section: Implementation Of Fg Modelmentioning

confidence: 99%

See 2 more Smart Citations

Sensitivity analysis of different devolatilisation models on predicting ignition point position during pulverized coal combustion in O2/N2 and O2/CO2 atmospheres

Jovanović

Milewska

Świątkowski

et al. 2012

Fuel

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Section: Ignition Phenomena Experimental and Numerical Investigationmentioning

confidence: 99%

“…The initial volatile composition values in weight fractions used as input for Eqs. (8) and (9) are estimated from the following correlations [35,36]: …”

Section: Implementation Of Fg Modelmentioning

confidence: 99%

Section: Implementation Of Fg Modelmentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity analysis of different devolatilisation models on predicting ignition point position during pulverized coal combustion in O2/N2 and O2/CO2 atmospheres

Jovanović

Milewska

Świątkowski

et al. 2012

Fuel

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“…Numerical method, being able to reveal more detail on the combustion process, has been widely applied to investigate not only the pulverized-coal combustion in utility boilers [3][4][5][6][7], but also the blended coal combustion in blast furnaces [8], biomass combustion [9,10], and oxyfuel combustion [11,12]. Shen et al [13] carried out the numerical simulations of the combustion in a 1000 MW coal-fired utility boiler with ultra-supercritical parameter, single furnace and dual tangential circles using Mitsubishi company's technology.…”

Section: Introductionmentioning

confidence: 99%

Reducing NO<inf>x</inf> emissions of an opposed swirling coal-fired utility boiler by optimizing in-service burner mode

Liu

Zhan

Fang

et al. 2013

2013 International Conference on Materials for Renewable Energy and Environment

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A computational fluid dynamics (CFD) model of a 600 MW opposed swirling coal-fired utility boiler has been established to numerically investigate the characteristics of flow, combustion, heat transfer and nitrogen oxides (NO x ) emission under the different modes of in-service burner layers. The current CFD model has been validated by comparing the simulated results with the experimental data. The results show that the different in-service burner layer modes have different influences on the residence time of the pulverized-coal particles, effect of air staging in the burner region and flue gas temperature at the exit of the lower furnace. Stopping the upper burner layers can increases the residence time of the pulverized-coal particles, resulting in the reduction of the carbon content in the fly ash and the increase of the pulverized-coal burnout. It can also enhance the effect of air staging in the burner region. Consequently, the NO x emission decreases. The flue gas temperature at the exit of the lower furnace can also decrease, being helpful to reducing the slagging tendency on the surfaces of the platen superheaters.

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“…It includes a review of the state-of-the-art of the various components or submodels required in a combustion model, the consideration of kinds of data required to evaluate and validate the predictions of combustion codes, and a summary of representative applications. As mentioned by Korytnyi et al [9] or Williams et al [10], the main limitation in CFD modeling of coal combustion is the use of simplified models for devolatilization, gasification of char and burning of volatile matters. This limitation comes from the need of a good characterization of the parameters involved in the different submodels.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of group combustion of pulverized coal

Bermúdez

Ferrín

Liñán

et al. 2011

Combustion and Flame

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A mathematical model for the group combustion of pulverized coal particles was developed in a previous work. It includes the Lagrangian description of the dehumidification, devolatilization and char gasification reactions of the coal particles in the homogenized gaseous environment resulting from the three fuels, CO, H 2 and volatiles, supplied by the gasification of the particles and their simultaneous group combustion by the gas phase oxidation reactions, which are considered to be very fast. This model is complemented here with an analysis of the particle dynamics, determined principally by the effects of aerodynamic drag and gravity, and its dispersion based on a stochastic model. It is also extended to include two other simpler models for the gasification of the particles: the first one for particles small enough to extinguish the surrounding diffusion flames, and a second one for particles with small ash content when the porous shell of ashes remaining after gasification of the char, non structurally stable, is disrupted.As an example of the applicability of the models, they are used in the numerical simulation of an experiment of a non-swirling pulverized coal jet with a nearly stagnant air at ambient temperature, with an initial region of interaction with a small annular methane flame. Computational algorithms for solving the different stages undergone by a coal particle during its combustion are proposed. For the partial differential equations modeling the gas phase, a second order finite element method combined with a semiLagrangian characteristics method are used. The results obtained with the three versions of the model are compared among them and show how the first of the simpler models fits better the experimental results.

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Computational fluid dynamic simulations of coal-fired utility boilers: An engineering tool

Cited by 53 publications

References 28 publications

Sensitivity analysis of different devolatilisation models on predicting ignition point position during pulverized coal combustion in O2/N2 and O2/CO2 atmospheres

Sensitivity analysis of different devolatilisation models on predicting ignition point position during pulverized coal combustion in O2/N2 and O2/CO2 atmospheres

Reducing NO<inf>x</inf> emissions of an opposed swirling coal-fired utility boiler by optimizing in-service burner mode

Numerical simulation of group combustion of pulverized coal

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