Smith, JD
1993
Parametric Sensitivity Study of a CFD-Based Coal Combustion Model
Smith, J.D.; Smith, P.J. and Hill, S.C.
AIChE Journal, 39, (10):1668-1679, 1993. Funded by Combustion Laboratory Consortium through Brigham Young University.
Parametric sensitivity of a two-dimensional pulverized-fuel (PF) combustion model is studied extensively for the effect of parametric uncertainty on model predictions. Results show that error in coal devolatilization/oxidation parameters has the dominant effect on predicted burnout, NOx formation, local gas temperature, and coal-gas mixture fraction. Uncertainty in the turbulent particle dispersion parameters appears to have a secondary effect, while error in the particle-gas radiation parameters has little impact on model predictions. Regions of the computational domain exhibiting sensitivity to specific parameters are identified. Specific parameter sensitivity implies the relative importance of various mechanisms in the overall process. Turbulent particle dispersion seems to be important early in the reactor with kinetic processes dominating at and following the predicted ignition point. Radiation appears to be of minor importance. These results indicate the need for a better method of predicting the overall volatiles yield and further understanding of the devolatilization/oxidation mechanism and its role in the overall PF combustion process. The study provides fundamental direction for future comprehensive model development and focuses on experimental work to better quantify critical input parameters.
1987
Parametric Sensitivity Study of an Entrained-Flow Pulverized-Fuel Combustion Model
Smith, J.D.; Smith, P.J. and Hill, S.C.
Submitted for publication to Computer and Chem.Engineering, 1987. 35 pgs. Funded by ACERC Consortium: Babcock & Wilcox, Combustion Engineering, Consol, Electric Power Research Institute, Empire State Electrical Energy Research Corp., Foster Wheeler, Pittsburgh Energy Technology Center, Tennessee Valley Authority, and Utah Power & Light.
An extensive parametric sensitivity study of a two-dimensional pulverized-fuel (pf) combustion model has been performed to investigate the effect of parametric uncertainty on model predictions. Results illustrate the dominant effect that error in coal devolatilization/oxidation parameters has on predicted burnout, Nox formation, local gas temperature, and coal-gas mixture fraction. Uncertainty in the turbulent particle dispersion parameters appear to have a secondary effect, while error in the particle-gas radiation parameters seems to have little impact on model predictions. Regions of the computational domain exhibiting sensitivity to specific parameters are identified. Specific parameter sensitivity implies the relative importance of various mechanisms in the overall process. Turbulent particle dispersion seems to be important early in the reactor with kinetic processes dominating at and following the predicted ignition point. Radiation appears to be of minor importance for the case under investigation. These results provide unique insight into the general pf combustion process. Specifically, they emphasize the need for a better methodology of predicting the overall volatiles yield. This implies additional understanding of the devolatilization/oxidation mechanism and its role in the overall pf combustion process. Although the results presented here are case specific, they provide unique insight into the overall pf combustion process and illustrate the effects that parameter uncertainty has on model predictions. This information provides fundamental direction for future comprehensive model development and focuses attention on pertinent experimental work to better quantify critical input parameters.
Smith, JD
1993
Parametric Sensitivity Study of a CFD-Based Coal Combustion Model
Smith, J.D.; Smith, P.J. and Hill, S.C.
AIChE Journal, 39, (10):1668-1679, 1993. Funded by Combustion Laboratory Consortium through Brigham Young University.
Parametric sensitivity of a two-dimensional pulverized-fuel (PF) combustion model is studied extensively for the effect of parametric uncertainty on model predictions. Results show that error in coal devolatilization/oxidation parameters has the dominant effect on predicted burnout, NOx formation, local gas temperature, and coal-gas mixture fraction. Uncertainty in the turbulent particle dispersion parameters appears to have a secondary effect, while error in the particle-gas radiation parameters has little impact on model predictions. Regions of the computational domain exhibiting sensitivity to specific parameters are identified. Specific parameter sensitivity implies the relative importance of various mechanisms in the overall process. Turbulent particle dispersion seems to be important early in the reactor with kinetic processes dominating at and following the predicted ignition point. Radiation appears to be of minor importance. These results indicate the need for a better method of predicting the overall volatiles yield and further understanding of the devolatilization/oxidation mechanism and its role in the overall PF combustion process. The study provides fundamental direction for future comprehensive model development and focuses on experimental work to better quantify critical input parameters.
1987
Parametric Sensitivity Study of an Entrained-Flow Pulverized-Fuel Combustion Model
Smith, J.D.; Smith, P.J. and Hill, S.C.
Submitted for publication to Computer and Chem.Engineering, 1987. 35 pgs. Funded by ACERC Consortium: Babcock & Wilcox, Combustion Engineering, Consol, Electric Power Research Institute, Empire State Electrical Energy Research Corp., Foster Wheeler, Pittsburgh Energy Technology Center, Tennessee Valley Authority, and Utah Power & Light.
An extensive parametric sensitivity study of a two-dimensional pulverized-fuel (pf) combustion model has been performed to investigate the effect of parametric uncertainty on model predictions. Results illustrate the dominant effect that error in coal devolatilization/oxidation parameters has on predicted burnout, Nox formation, local gas temperature, and coal-gas mixture fraction. Uncertainty in the turbulent particle dispersion parameters appear to have a secondary effect, while error in the particle-gas radiation parameters seems to have little impact on model predictions. Regions of the computational domain exhibiting sensitivity to specific parameters are identified. Specific parameter sensitivity implies the relative importance of various mechanisms in the overall process. Turbulent particle dispersion seems to be important early in the reactor with kinetic processes dominating at and following the predicted ignition point. Radiation appears to be of minor importance for the case under investigation. These results provide unique insight into the general pf combustion process. Specifically, they emphasize the need for a better methodology of predicting the overall volatiles yield. This implies additional understanding of the devolatilization/oxidation mechanism and its role in the overall pf combustion process. Although the results presented here are case specific, they provide unique insight into the overall pf combustion process and illustrate the effects that parameter uncertainty has on model predictions. This information provides fundamental direction for future comprehensive model development and focuses attention on pertinent experimental work to better quantify critical input parameters.