Biodiesel Blends and Engine Performance Analysis Using Python Programming : A Review

This review paper gives a comprehensive analysis of the effects of biodiesel derived from corn oil, palm oil, and waste cooking oil on diesel engine performance and emissions.Synthesizing findings from peer-reviewed studies since 2000, it examines key metrics such as brake thermal efficiency (BTE), brake specific fuel consumption (BSFC), power output, and emissions including carbon monoxide (CO), hydrocarbons (HC), particulate matter (PM), and nitrogen oxides (NOx).The paper highlights the application of Python programming for data analysis and visualization, demonstrating its utility in processing complex engine performance datasets.Results indicate that biodiesel blends generally reduce emissions such as CO, HC, and PM emissions but may increase NOx, with variations depending on feedstock and blend ratio.Engine performance is slightly compromised, with lower BTE and higher BSFC compared to diesel.The review discusses challenges such as feedstock sustainability and proposes future research directions to optimize biodiesel use.This work aims to inform engineers, researchers, and policymakers about biodiesels potential such as an alternative sustainable fuel.