PREDICTION OF SUGAR YIELD FROM SUGAR CANE USING PROCESS MODELING

A. B.Istifanus, A. M. Ezekiel, N. C. Ezeanya, H. U. Gagare

Abstract: A study was undertaken to develop a Theoretical model that will be used to predict sugar and the by-products from sugar cane. The model developed from MATLAB was used to predict the sugar, bagasse, filter cake and molasses yields from sugar cane. The predicted values from the model were compared to yield data obtained from the production of sugar cane from the Savannah Sugar Company, Numan, Nigeria for 90 days. The analysis of variance (ANOVA) at p = 0.01was usedto determine if there were significant difference in the yield predicted by the model and the measured factory yield. The Least Significant Difference (F-LSD) at p = 0.01 was used to separate the means. The model is validated where there was no significant difference between its predicted yield and the factory-obtained yield. The sugar cane input of 2,150.52 MT was obtained from the Savannah Sugar factory. The corresponding imbibition water pumped into the mixed juice was673.12MT. The predicted sugar, bagasse, molasses and filter cake yield using the theoretical model was 279.5MT (13%), 1,049.46MT (48%), 111.828MT (5.2%) and 101.1MT (4.7%) respectively. The ANOVA showed that there was no significant difference between the Theoretical model and the factory-based module. It is concluded that the ANOVA validated Theoretical model for sugar yield prediction. Consequently, this model is recommended for use in predicting sugar and by-products yields from sugar cane.

Keywords: Model, Prediction, Sugar, Yields, Sugarcane

DOI: https://doi.org/10.15623/ijret.2018.0706009