Application of adaptive neuro-fuzzy inference system and response surface methodology in biodiesel synthesis from jatropha-algae oil and its performance and emission analysis on diesel engine coupled with generator

摘要

Present study presents the results of methyl esters preparation from Jatropha-Algae oil using transesterification process. In this study, an adaptive neuro-fuzzy inference system (ANFIS) and the response surface methodology (RSM) based Box-Behnken techniques were used for modelling and analysis of different parameters viz molar ratio, temperature, reaction time, and catalyst concentration in biodiesel production process. Significant regression model with R-2 value of 0.9867 was obtained under a molar ratio of 6-12, KOH of 0-2% w/w, time of 60-180 min and temperature of 35-55 degrees C using RSM. The ANFIS model was used to individually correlate the output variable (biodiesel yield) with four input variables with R-2 value of 0.9998. Finally, a study investigating the performance and emissions of a diesel engine fuelled with biodiesel blends (BO, B5, B10 and B20 vol%) has been performed concluding significant reduction of emission. (C) 2021 Elsevier Ltd. All rights reserved.