Ramanathan, M
1994
Coal Ash Behavior and Management Tools
Erickson, T.A.; O'Leary, E.M.; Folkedahl, B.C.; Ramanathan, M.; Zygarlicke, C.J.; Steadman, E.N.; Hurley, J.P. and Benson, S.A.
The Impact of Ash Deposition on Coal-Fired Plants, Taylor & Francis, Inc., 1994. Funded by US Department of Energy, Electric Power Research Institute, Tow, Texaco, Shell, Union Electric, Kansas City Power and Light, Minnesota Power and Northern States Power.
Over the past five years, computer-based research tools have been increasingly applied in making important economic and operational decisions in the utility power industry. These tools-which include models, indices, databases, and data manipulation programs-are used by researchers, operators, and managers in the evaluation of coal utilization as an efficient and environmentally acceptable source of energy. Applicable tools that have been developed at, and are currently used by, the Energy & Environmental Research Center (EERC) include Partchar©, MINCLASS©, VISCAL©, MANAGER©, ATRAN, LEADER©, PHOEBE©, and PCQUEST©. These software applications range from databases for retrieving coal and coal product analysis, to computer codes to process coal and coal product analysis, to advanced models and indices to evaluate the operational impacts of specific systems.
1991
Fly Ash Particle-Size Distribution and Composition: Experimental and Phenomenological Approach
Zygarlicke, C.J.; Ramanathan, M. and Erickson, T.A.
Engineering Foundation Conference on Inorganic Transformations and Ash Deposition During Combustion, Palm Coast, FL, March 1991. Funded by US Department of Energy and ACERC.
Two modeling approaches are being developed which will predict fly ash particle size and composition. Both approaches are phenomenological in that they require detailed coal input data and empirically derived knowledge of inorganic transformation phenomena that occur during coal combustion. The first approach is stochastic in construction and randomly combines initial coal inorganics depending on their distribution in the coal and outputs a predicted fly ash particle size and composition. The second approach is that of an expert system. The predicted fly ash results for Kentucky #9 bituminous coal compared fairly well with experimental fly ash using both modeling approaches.
1989
New Techniques for Thermochemical Phase Equilibria Predictions in Coal Ash Systems - II
Ramanathan, M.; Kalmanovitch, D.P. and Ness, S.
To be published in Prog. Energy Comb. Sci., Special Issue on Ash Deposition, Pergamon Press, 1989. Funded by ACERC (National Science Foundation and Associates and Affiliates) and US Department of Energy.
PHOEBE is a new computer code developed at UND-EMRC as part of a long-term study of coal ash deposition phenomena in coal combustion systems. The task of developing a new code was undertaken to eliminate the various problems encountered with existing phase equilibria calculation packages and to apply better techniques in the minimization of the Gibbs free energy of the system. The results from PHOEBE for a couple of thermodynamic systems are presented and compared with their corresponding experimental values.
Ramanathan, M
1994
Coal Ash Behavior and Management Tools
Erickson, T.A.; O'Leary, E.M.; Folkedahl, B.C.; Ramanathan, M.; Zygarlicke, C.J.; Steadman, E.N.; Hurley, J.P. and Benson, S.A.
The Impact of Ash Deposition on Coal-Fired Plants, Taylor & Francis, Inc., 1994. Funded by US Department of Energy, Electric Power Research Institute, Tow, Texaco, Shell, Union Electric, Kansas City Power and Light, Minnesota Power and Northern States Power.
Over the past five years, computer-based research tools have been increasingly applied in making important economic and operational decisions in the utility power industry. These tools-which include models, indices, databases, and data manipulation programs-are used by researchers, operators, and managers in the evaluation of coal utilization as an efficient and environmentally acceptable source of energy. Applicable tools that have been developed at, and are currently used by, the Energy & Environmental Research Center (EERC) include Partchar©, MINCLASS©, VISCAL©, MANAGER©, ATRAN, LEADER©, PHOEBE©, and PCQUEST©. These software applications range from databases for retrieving coal and coal product analysis, to computer codes to process coal and coal product analysis, to advanced models and indices to evaluate the operational impacts of specific systems.
1991
Fly Ash Particle-Size Distribution and Composition: Experimental and Phenomenological Approach
Zygarlicke, C.J.; Ramanathan, M. and Erickson, T.A.
Engineering Foundation Conference on Inorganic Transformations and Ash Deposition During Combustion, Palm Coast, FL, March 1991. Funded by US Department of Energy and ACERC.
Two modeling approaches are being developed which will predict fly ash particle size and composition. Both approaches are phenomenological in that they require detailed coal input data and empirically derived knowledge of inorganic transformation phenomena that occur during coal combustion. The first approach is stochastic in construction and randomly combines initial coal inorganics depending on their distribution in the coal and outputs a predicted fly ash particle size and composition. The second approach is that of an expert system. The predicted fly ash results for Kentucky #9 bituminous coal compared fairly well with experimental fly ash using both modeling approaches.
1989
New Techniques for Thermochemical Phase Equilibria Predictions in Coal Ash Systems - II
Ramanathan, M.; Kalmanovitch, D.P. and Ness, S.
To be published in Prog. Energy Comb. Sci., Special Issue on Ash Deposition, Pergamon Press, 1989. Funded by ACERC (National Science Foundation and Associates and Affiliates) and US Department of Energy.
PHOEBE is a new computer code developed at UND-EMRC as part of a long-term study of coal ash deposition phenomena in coal combustion systems. The task of developing a new code was undertaken to eliminate the various problems encountered with existing phase equilibria calculation packages and to apply better techniques in the minimization of the Gibbs free energy of the system. The results from PHOEBE for a couple of thermodynamic systems are presented and compared with their corresponding experimental values.