Engine Behaviour Characterisation of Roselle Biodiesel Through Experimental and Empirical Method
Abstract Persistent increase in demand and depletion of world fossil fuel reserve has necessitated the lookout for alternative fuels. One such indigenous biodiesel with significant potential is the biodiesel extracted from Roselle whose technical feasibility to operate with compression ignition engine is investigated in this study. Experimental and empirical methodologies had been employed to characterise the fuel blends while operating at engine loads of 25%, 50%, 75% and 100%, and with fuel injection timings of 19°, 21°, 23°, 25° and 27° bTDC. Results showed that for 20% blend, with advanced injection timing from 19° bTDC to 27° bTDC at full load, brake specific fuel consumption and exhaust gas temperature for 20% blend was higher by 15.84% and 4.60%, while decrease in brake thermal efficiency by 4.4%. Also, 18.89% reduction in smoke, 5.26% increase in CO2 and 12.94% increase in NOx were observed. In addition, an empirical model was developed for full range characterisation. The artificial neural network model thus developed to characterise all the 10 variables was able to predict satisfactorily with r-squared value of 0.9980 ± 0.0011. Further, high correlation amongst certain variables indicated to plausible empirically reduced models.