Assessment of Global and Network Models of Devolatilization for Numerical Analysis of Pulverized Coal Combustion

Kapusuz, Erinç; Yılmaz, Barış; Gökalp, İskender

doi:10.1080/00102202.2018.1505875

Cited by 6 publications

(4 citation statements)

References 31 publications

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“…Kapusuz et al compared the CPD model to several other pyrolysis model forms to compare to ignition delay data in a methane-assisted round coal jet flame, showing that a properly tuned single first-order model could be used in place of the CPD model. Rieth et al used the CPD model directly in LES of a methane-assisted coal jet.…”

Section: Direct Use Of the Cpd Model In Combustion Simulationsmentioning

confidence: 99%

“…Simulations of the emissions and chemistry of sodium species in a pulverized coal jet were simulated by Wan et al 73 using the CPD model coupled with a LES model. Simulations with the CPD model gave faster pyrolysis results than models of Badzioch and Hawksley 74 and Yamamoto et al 75 Kapusuz et al 76 compared the CPD model to several other pyrolysis model forms to compare to ignition delay data in a methane-assisted round coal jet flame, showing that a properly tuned single first-order model could be used in place of the CPD model. Rieth et al 77 used the CPD model directly in LES of a methane-assisted coal jet.…”

Section: Energy and Fuelsmentioning

confidence: 99%

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Review of 30 Years of Research Using the Chemical Percolation Devolatilization Model

Fletcher

2019

Energy Fuels

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The chemical percolation devolatilization (CPD) model for coal pyrolysis was first published in 1989, and a completed version that included the vapor–liquid equilibrium model and cross-linking model was published in 1992. The CPD model was one of three pyrolysis models developed using a lattice model to account for the chemical structure of the coal and was directly based on solid-state 13C nuclear magnetic resonance (NMR) measurements of the coal structure. A correlation of coal structure parameters measured by NMR spectroscopy was performed to permit use of the CPD model to determine pyrolysis rates and yields of tars and light gases for any coal type. A separate nitrogen release model was also developed on the basis of the chemical structure. In the past 30 years, the CPD model or the concepts in the CPD model have been used to describe pyrolysis in many situations for many fuels. The CPD model has been incorporated directly into simulations of large coal combustors as well as detailed simulations of single-pyrolyzing or burning coal particles, which was the original intent. Some investigators added a more rigorous treatment of light gas release. Other investigators have used the CPD model to determine rate coefficients for simpler models for a given range of heating conditions. In addition, the concepts in the CPD model have been used to develop models for other solid fuels, including biomass, black liquor, oil shale, rigid foams, propellants, heavy oil, asphalt, and scrap tires. The CPD model has also been extended to low heating rates for underground coal thermal treatment and hydropyrolysis. This paper is a review of the development, improvement, and uses of the CPD model, along with extended uses of the concepts in the CPD model.

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Section: Direct Use Of the Cpd Model In Combustion Simulationsmentioning

confidence: 99%

Section: Energy and Fuelsmentioning

confidence: 99%

Review of 30 Years of Research Using the Chemical Percolation Devolatilization Model

Fletcher

2019

Energy Fuels

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“…Numerical simulation research has certain advantages compared with experimental research [29]. Hao et al and Li et al [30,31] studied the tensile and compressive properties of concrete materials based on the numerical simulation of the SHPB experiment.…”

Section: Introductionmentioning

confidence: 99%

Study on the Dynamic Response Characteristics of Cylindrical Coal-Rock Samples under Dynamic Loads

Zhu

Fang

Zhang

et al. 2020

Shock and Vibration

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To research the dynamic response characteristics of cylindrical coal-rock samples under impact loads, the impact of rigid bars on cylindrical coal-rock samples is simulated under different speed conditions, based on LS-DYNA software, and the dynamic distribution characteristics of the stress, strain, and energy of cylindrical coal-rock samples are analyzed. The results demonstrated the following: (1) the cylindrical coal-rock sample failed at the center first, and the damage developed downward along the axial direction. (2) The critical effective stress and strain have an exponential function relationship with the velocity, and the critical time has a linear relationship with the velocity. (3) The energy change law of the cylindrical coal-rock sample is consistent with the destruction morphology. (4) The axial stress peaks in the severe damage part have a linear relationship with the speed, the axial stress attenuates rapidly after passing the stress yield point, and the axial strain does not increase continuously. (5) The peaks stress and strain on the central axis and the radial line obey the power function distribution, the axial stress produces tensile stress in the axial propagation direction, and the axial stress and strain peaks at the same position are larger than those of the radial stress and strain peaks. This research provides a reference for studying coal and rock dynamic disasters.

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“…Numerical simulations can reproduce the entire dynamic process compared to experiments, and it is easy to monitor changes at various points in a numerical simulation 43 . Xia et al 44 used particle simulations to study the effects of different loading wave forms on rock damage from the mesoscale.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of the dynamic distribution characteristics of the stress, strain and energy of coal mass under impact loads

Zhu

Fang

Zhang

et al. 2020

Sci Rep

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To research the dynamic response characteristics of coal mass under impact loads, based on LS-DYNA software, rigid body bars are simulated to impact coal mass under different speed conditions, and the dynamic distribution characteristics of the stress, strain and energy of coal mass are analyzed. The results demonstrate that (1) the peaks of the axial and radial stresses and strain on the central axis and the radial line obey the power function distribution; at the same position, the axial and the radial stress peaks are close, and the axial strain peak is from much larger than the radial strain peak to close to. (2) The axial and radial stresses generate tensile stresses in the axial and radial propagation directions, respectively, and the coal mass is prone to damage under tensile stress. (3) When the speed is large, the axial stress–strain curve is similar to that of the dynamic load experiment. The axial stress peak, axial strain peak, critical effective stress, critical time and secant modulus have a linear relationship with the velocity. (4) When the dynamic load is large, most of the energy is in the form of kinetic energy, and the total energy loss also increases.

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Assessment of Global and Network Models of Devolatilization for Numerical Analysis of Pulverized Coal Combustion

Cited by 6 publications

References 31 publications

Review of 30 Years of Research Using the Chemical Percolation Devolatilization Model

Review of 30 Years of Research Using the Chemical Percolation Devolatilization Model

Study on the Dynamic Response Characteristics of Cylindrical Coal-Rock Samples under Dynamic Loads

Numerical simulation of the dynamic distribution characteristics of the stress, strain and energy of coal mass under impact loads

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