Modulation of the best conditions for improved engine performance and reduced exhaust emissions using an eco-friendly nano additive in parsley biodiesel blend

This research work aims to assess the optimal conditions that would lower exhaust emissions and enhance engine performance using a green synthesized silica nano additive added parsley biodiesel blend. Hence, the process variables were optimized and the interactive influence of engine speed, engine load, and biodiesel blend (B20SNP) concentration was examined using the central composite design tool integrated into the response surface methodology design. The findings of this study showed that the studied variables had a substantial effect on the responses. Also, the ideal conditions for improved efficiency and reduced emissions were predicted to be B20SNP (100 ppm), engine speed (1458.60 rpm), and engine load (98.07%) while the best responses for improved engine characteristics were BTE (31.91%), BSEC (5.97 MJ/kW), BSFC (0.388kg/kWh), HC (19.18%), NOx (198.21 ppm) and CO (0.050 %) at the desirability of 1.000. The results of the ANOVA analysis revealed that B20SNP had the most influence on the behavior of the investigated four-stroke single-cylinder diesel engine. Furthermore, the results of this study asserted that silica nanoparticles made from waste sugarcane bagasse greatly enhanced the diesel engine's efficiency and reduced emission behavior.