The current research aims to numerically simulate compression ignition engine performance using the Diesel-RK software, a versatile instrument crafted for assessing engine characteristics across various fuel. In this study, we employ Diesel-RK as a computational tool to model and analyze the behavior of a diesel engine when loquacious various fuels, such as diesel fuel, soybean oil, algae oil, fish oil, rapeseed oil, and wheat germ oil. The computational model implemented in Diesel-RK provides reasonably accurate predictions of critical engine parameters, including in-cylinder temperature, in-cylinder pressure, fuel consumption during combustion, and levels of NO X emissions. Numerical analysis indicates that specific fuel consumption increases by 8.46% for Soybean, 8.49% for algae, 8.44% for rapeseed, 18.3% for fish oil, and 14.6% for wheat germ oil. The brake thermal efficiency decreases by 4.84%, 4.89%, 4.83%, and 34.2% for Soybean, algae, rapeseed, fish, and wheat germ, respectively. The data shows that wheat germ oil biodiesel can be a surrogate fuel for diesel engines due to its lower carbon emissions and environmen
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