Simulation of air flow in the typical boiler windbox segments

Bhasker, C.

doi:10.1016/s0965-9978(02)00082-0

Cited by 16 publications

(9 citation statements)

References 2 publications

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“…Discretization of the initial partial differential equations (1) -(7) is carried out by means of the control volume method using a first-order accuracy scheme for approximating convective terms. The control volume method is also used in [1][2][3][4][5][6][7][8][9][10][11][12][13][19][20][21][22]. The solution of the resulting systems of linear algebraic equations is solved by the Gauss-Seidel method using the SIMPLE algorithm [29].…”

Section: ( ) √ ∑ ( )mentioning

confidence: 99%

Numerical modeling of peat burning processes in a vortex furnace with countercurrent swirl flows

et al. 2021

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The paper presents the process of peat burning in a swirl furnace with countercurrent swirl flows and the results of a numerical study. The cyclone-vortex technology of solid fuel combustion allows the furnace volume of a boiler unit, its dimensions and weight to be reduced. The aim of the work is a numerical study of the combustion of pulverized peat in a cylindrical vortex furnace with countercurrent swirl flows. The results of computer simulation of the combustion of pulverized peat with a moisture content of 40%, an ash content of 6% and a higher heat of combustion Q?? = 12.3 MJ/kg are presented. The results of the influence of the design parameters of the furnace and heat load (from 100% to 15%) are given as well. When the heat load is reduced to 15%, the entrainment of unburnt particles increases. The cooled and adiabatic furnace is studied. A significant entrainment of unburned particles is observed n a cooled furnace. The fields of temperature distribution, gas velocity and particle trajectory in the volume and at the outlet of the furnace are determined. The three-dimensional temperature distribution in the furnace volume indicates the combustion of peat particles at temperatures (1300-1450?C). Values of the tangential velocity of a swirl flow near the furnace outlet reach 150 - 370 m/s, which ensures the efficiency of separation of fuel particles and a reduction in heat loss due to mechanical underburning (up to 0.06%). The results of a numerical study show that the diameter of peat particles affects the combustion process, namely coke of particles with an initial diameter from 25 microns to 250 microns burns out by 96%, and particles with a diameter of about 1000 microns are carried away from the furnace and do not burn. The furnace provides a complete combustion of dust particles of peat by 99.8% and volatiles by 100%.

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Section: ( ) √ ∑ ( )mentioning

confidence: 99%

Numerical modeling of peat burning processes in a vortex furnace with countercurrent swirl flows

et al. 2021

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“…Certain volume of space within the particles are not occupied and such a space is known as void volume and is specified as voidage or porosity, defined as [10] [11] Voidage (ϵ) = (void volume / volume of particles + voids) (1) Figure 4 illustrates the broad classification of solids, made by Gelbert (1972) [12] into four different groups, namely A, B, C and D. A graph of particle's classification versus density difference between the solid and the fluidizing gas, is plotted. [12].…”

Section: Bed Materials Classificationmentioning

confidence: 99%

“…Computational fluid dynamics (CFD) is the method of predicting fluid flow, heat transfer, mass transfer, and related phenomena by solving the mathematical equations that governs these processes using a numerical approaches [11]. Simulation of turbulent air flow distribution in CFBC furnace, wherein primary air is entrained through inlet duct system called wind-box, is attempted through state of art CAD/CFD software's.…”

Section: Computational Fluid Dynamics Analysis For Air Distributorsmentioning

confidence: 99%

Design and Analysis of Air Distributors and Bed Materials of Fluidized Bed Boiler

Kafle¹

2016

IJFMTS

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This research deals with the design and analysis of the nozzle and bed materials required for fluidized bed boiler. The design parameters (Diameter of the bed particle, Range of the terminal velocities, Minimum Fluidization /Bubbling velocities, Maximum amplitude and steady velocities) were calculated using Microsoft Excel by interpreting and solving various formulas. Best bed material was selected on the basis of their various characteristics like porosity, adhesive or cohesive properties, resistance to flow etc. An important characteristic change of air distributor velocity with combustion chamber temperature has been established. ANSYS was used as a simulation tool for the analysis. Static Structural solver was used to carry out the strength analysis of the designed wind box. Likewise, computational fluid dynamics (CFD) was carried out using FLUENT solver. Air flow inside the wind box and fluidization phenomena was verified using FLUENT. Furthermore, the designed system was checked for its validity by comparing the results from the Excel sheets and theoretical calculations with simulation results. Lastly, correlation between temperature and velocity inside combustion temperature were determined to identify their relationship with each other.

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“…The governing equations for prediction of compressible NavierStokes equations are detailed in [5][6][7][8][9][10][11]. The standard formulation of the conservation of the variable for a volume V with moving boundaries is o ot…”

Section: Mathematical Formulation For Moving Gridmentioning

confidence: 99%