Abstract

In this study, the desulfurization process developed using ultrasonic waves for Muğla Yatağan Bağyaka lignite had the optimum conditions for parameters affecting the ash and sulfur removal potentials determined with the Surface Response Method and a model created. The process parameters to obtain optimum desulfurization and ash removal were chosen as the ultrasonic treatment time, solid content, concentration of chemical reactive (H2O2) and reactive volume, and the optimum values were determined. Using this data with the aid of the Design Export 7.0 program, the regression model was found as a second degree polynomial equation. The coeffi cients of determination (R2) for desulfurization and ash removal regressions were 0.96 and 0.97, respectively, in the determined model. The model prediction values and experimental results for desulfurization and ash removal in the investigated parameter intervals were compared and the fi t was identifi ed. In the experimental removal of sulfur types with optimum desulfurization it was found that pyritic 17.02%, sulfate 16.67% and organic 9.52%.

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