Utilizing red fox method for improvement of engine performance and emission control in hydrogen-cooked oil diesel engines

Due to the increasing number of vehicles on the road and the associated environmental concerns, biodiesel engine performance needs to be greatly improved. The work cleverly mixes the special qualities of hydrogen fuel and cooking oil, taking into consideration each one’s distinctive contributions to maximize the performance of biodiesel engines. The purpose of the novel Red Fox-based Optimal Diesel Engine (RFbODE) is to improve the efficiency of hydrogen biodiesel engines, lessen their negative effects on the environment, and promote sustainable energy sources. The engine parameters an element data were initially processed in the MATLAB environment. When developing the biodiesel engine, consideration is also given to the characteristics of cooking oil and hydrogen fuel. By carefully adjusting these factors, this framework facilitates the implementation of optimal settings and helps the engine reach its goal of operating efficiency. Through a detailed examination and comparison of its performance indicators with those of recognized traditional approaches, the study extensively examines the robustness of the proposed method. Exhaust gas pollution levels, overall engine performance, and thermal efficiency are only a few of the subjects covered by the comparison evaluation. When compared to the conventional approaches, the proposed approach produces reduced emissions and better engine performance. The proposed method raises CO emissions by 12%, improves the performance of the engine by 49%, increases BSFC to 233 g/kWh, increases CO emissions by 0.23%, increases smoke emissions by 11.05%, and decreases other emissions by 12.1% to produce the best conclusion.