Search Results

This research work is about the development of a data-driven model of a dual fuel diesel engine fuelled with renewable fuels (waste cooking oil and ethanol). In the first phase of the work, test engine was modified to operate in a dual fuel mode with ethanol as primary fuel and waste cooking oil as pilot fuel. It is followed by the development of the algebraic model comprising of sub-models like gas exchange process, charge compression process, combustion and expansion process. Wiebe’s function was used to develop the combustion model. In the second phase of the work a data driven model was developed using state space approach. Engine power output, mass of air, mass of waste cooking oil, mass of ethanol, in-cylinder volume and experimental pressure data were feed as the input to the model. Model is solved for in-cylinder pressure data. It was trained until the output of the model matches the experimental pressure data.