Kinetic Modeling of Perchloroethylene Extraction Desulfurization of Coals
The kinetic modeling of the perchloroethylene reaction-extraction process has been carried out on the basis of batch extraction data. In this paper, modeling results of both second order as well as the pseudo-first order model has been presented. Multiple parameter estimates have been found which minimize the model-data discrepancies. Novel methods have been devised to illustrate multiple estimates of the kinetic parameters. Ill-posedness of the kinetic modeling problem bas been analyzed using the expression for extractability and the Hessian matrix of the model-data discrepancy function. Root Mean Square Errors (RMSE) for various types of coals have been evaluated to represent the model-data discrepancy function It was found that the RMSE was between 2-8% of the estimated initial concentration of ex tract able organic sulfur, depending upon the type of coal. A novel method, called "RMSE Contours" has also been developed to present the sensitivity of parameters to the kinetic models. The second order model has been compared with the simpler pseudo-first order model. It has been successfully
T. Lee et al., "Kinetic Modeling of Perchloroethylene Extraction Desulfurization of Coals," Fuel Science and Technology International, Taylor & Francis, Jan 1994.
The definitive version is available at https://doi.org/10.1080/08843759408916183
Chemical and Biochemical Engineering
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