The ever-growing concern for the safety of lives and the environment as well as the depletion in fossil fuels reserves across the globe has led to the keen interests of many researchers in the field of renewable energy. This study was therefore undertaken to investigate the trans-esterification optimization process for biodiesel production from palm kernel using response surface methodology. The materials for the trans-esterification processes were palm kernel oil, Methanol and sodium hydroxide. The effects of reaction temperature (oC), catalyst concentration (wt%) and reaction time (min) on the yield were evaluated. The properties of the biodiesel produced showed that it met the ASTM standard for biodiesel. A quadratic polynomial model, Yield (%) = 78.60–3.12A–.62B + 0.00C -0.75AB – 3.50AC + 1.50BC + 2.82A2– 0.18B2 + 1.08C2, was developed that can be used to predict yield of biodiesel at any value of the different parameters investigated. The ANOVA for the model of the biodiesel yield obtained indicates that the models fit well in describing the relationship between the predictor (biodiesel yield) and the factors (methanol to oil ratio, catalyst concentration and reaction time). The optimal trans-esterification conditions were found to be 60°C for temperature, 60minutes for reaction time, 0.878w% of oil as Sodium hydroxide (catalyst) concentration and methanol/oil ratio of 1:6. At these optimal conditions, the biodiesel yield was fond to be 89.32% The generated biodiesel had high cetane number, better engine ignitability and poses lesser pollution problems than petroleum diesel.
SYNTHESIS OF SOLID CATALYST FROM DOLOMITE FOR BIODIESEL PRODUCTION USING PALM KERNEL OIL IN AN OPTIMIZATION PROCESS BY DEFINITIVE SCREENING DESIGN