Application of statistical experimental designs for optimization of fermentation parameters to enhance ethanol production, which is an economical and renewable energy source using Saccharomyces cerevisiae NCIM 3090 from palmyra jaggery, was studied in a batch fermentor. Using Plackett-Burman design, impeller speed, concentrations of CoCl2 and KH2PO4 were identified as significant variables, which highly influenced ethanol production, and these variables were further optimized using a central composite design (CCD). The ethanol production was adequately approximated with a full quadratic equation obtained from three factors and five levels of CCD. Maximum ethanol concentration of 132.56 g/l (16.8% [v/v]) was obtained for an impeller speed of 247.179 (approximate to 250) rev/min, CoCl2 of 0.263 g/l and KH2PO4 of 2.39 g/l. A second-order polynomial regression model was fitted and was found adequate with R (2) of 0.8952. This combined statistical approach enables rapid identification and investigation of significant parameters for improving the ethanol production and could be very useful in optimizing processes.