Abstract
The reaction conditions for pyrolysis of corncobs was investigated for improved bio-oil yield. The corncobs were first demineralized to reduce inorganics composition using various solvents; nitric acid, acetic acid and water for a number of days. The effect of temperature, catalyst load and retention time were optimized using response surface methodology (RSM) of central composite design matrix (CCD). Three levels of the parameters were studied using face centered approach. The optimal bio-oil yield of 20 % was obtained at 6000C temperature, 7 wt. % catalyst load, and 3-hour retention time. A model equation was generated using the data obtained and the analysis of variance (ANOVA) showed the model to be significant with an R2 of 0.9505. From the statistical analysis, the predicted bio-oil yields were closely related to the experimental bio-oil yields indicating that the model was accurate to be used for design and optimization of bio-oil yield from pyrolysis of corn cobs.
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