3-D. Aerodynamics and Thermal Prediction For Nassiriya Power Plant Furnace By Using Gaseous Fuel

  • M.Hannun R
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Abstract

-The predictions of the features of high temperature systems (furnaces and/or boilers) are very important because they help and enable better decisions to be made about their effective operation; these predictions are made for an Iraqi Power Plant using the CFD FLUENT package. Temperature levels predicted are close to those measured (2215.5K predicted; 2152 K measured practically inside the furnace). In addition the velocity vectors are predicted with values commensurate with those produced by others as discussed in a literature review. NOx levels are subsequently studied in the context of using recirculated flue gases for emissions control. Nomenclature: Symbol definition Symbol definition G m G t U V W P ρ R, Z, θ q c.v. μ eff f m  H c.v c p Axial thrust Axial flux of angular momentum Axial velocity (m/s) Radial velocity (m/s) Tangential velocity (m/s) Static pressure (pa) Density (kg/m 3) Radial, axial and tangential directions Heat rate released per unit volume (W/m 3) Effective viscosity (N.s/m 2) Mass flow rate (kg/s) Higher calorific value (kJ/kg) Specific heat at constant pressure (kJ/kg.°C) λ M f, M pr m pr R T m a T f T a ε σ A p Thermal conductivity (W/m.°C) Molecular weights of fuel and products of combustion respectively Mass of products in kg per kg of O 2 . Universal gas constant in kJ / kmol.K Temperature in Kelvin. Mass flowrate of the air (kg/s) Highest core temperature (K) Ambient air temperature (K) Emissivity≈ 0.8 Stefan – Boltzman constant=5.67  10 -8 W/m 2 .K 4 Area of the inside faces of furnace (m 2)

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APA

M.Hannun, R. (2014). 3-D. Aerodynamics and Thermal Prediction For Nassiriya Power Plant Furnace By Using Gaseous Fuel. IOSR Journal of Engineering, 4(2), 12–26. https://doi.org/10.9790/3021-04221226

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