Sasol Technology Research and Development, Sasolburg, South Africa; Pennsylvania State University, University Park, United States; Reaction Technology and Industrial Statistics, Sasol Technology Research and Development, 1 Klasie Havenga Road, Sasolburg, 1947, South Africa
Coetzer, R.L.J., Sasol Technology Research and Development, Sasolburg, South Africa, Reaction Technology and Industrial Statistics, Sasol Technology Research and Development, 1 Klasie Havenga Road, Sasolburg, 1947, South Africa; Rossouw, R.F., Sasol Technology Research and Development, Sasolburg, South Africa; Lin, D.K.J., Pennsylvania State University, University Park, United States
Dual response surface optimization of the Sasol-Lurgi fixed bed dry bottom gasification process was carried out by performing response surface modelling and robustness studies on the process variables of interest from a specially equipped full-scale test gasifier. Coal particle size distribution and coal composition are considered as hard-to-control variables during normal operation. The paper discusses the application of statistical robustness studies as a method for determining the optimal settings of process variables that might be hard to control during normal operation. Several dual response surface strategies are evaluated for determining the optimal process variable conditions. It is shown that a narrower particle size distribution is optimal for maximizing gasification performance which is robust against the variability in coal composition. © Journal compilation © 2008 Royal Statistical Society.
