Electrical energy is source of raising development of the world, the world has changed its shape time to time because of extent amount of electrical energy. Energy helps to achieve the goals such as health, high level of living standards, sustainable economy and a clean environment. Present study is concerned with the optimization of electrical generation for thermal turbine through response surface methodology. The data were collected from thermal power plant Jamshoro and unit one 200 MW mad by Japan was considered. The RSM has suggested the quadratic models for the data because both models were highly significant and have high predicted R-square vales greater than 90%. Analysis of variance decided that the suggest models are significant at specified level of significance (0.05) and the explanatory variables contributing significantly. There is main as well as interaction effect of explanatory variables. Verification of the models performed by different plots. If the thermal turbine run on the suggested parameters, then we can minimize the input source (fuel consumption) and maximize the output source (Electrical energy generation).
Keywords: Electrical energy, Response surface methodology, Thermal energy station, optimization