Performance Optimization and Thermal Conditions Analysis Optimizations Based on Genetic Algorithm for a Marine Low-speed Diesel Engine

摘要

A working process simulation model of a marine low-speed diesel engine based on GT-Power was established in this paper, and the model was validated Compared with test data. The parameters of valve timing and fuel injection were taken as Influencing factors, the objectives of the power, economy and emission were analyzed and optimized using genetic algorithm, and the optimized matching schemes were determined. The temperature and heat transfer coefficient of the diesel engine’ thermal conditions in the cylinder under different optimization schemes were compared. The study shows that the error of the simulation model is within 5%, the determined optimization method can well meet the optimization requirements of power, economy and emission under certain constraints. The thermal conditions with the optimization of emission have the least contribution to the thermal load of the marine diesel engine among the different optimizations.