This optimization environment simulates the performance of a marine generator system for three different loads by minimizing the mean absolute percentage error (MAPE) between the in-cylinder pressure simulated data and the measured data along 40 degrees of the combustion process and by verifying the firing pressure and the engine brake power. Then, an optimization process is performed based on the fitness function that includes the objective of the study and the penalty functions to express constraints. Firstly, the engine model is built in Ricardo Wave software and some parts are calibrated using data collected from the manufacturer. An engine optimization model is developed to fit the calculated in-cylinder pressure diagram to the experimental data by finding the optimal values of the start angle of injection and the amount of injected fuel for different engine loads.
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