Parameter optimization and simulation of lean-burn gas generator

Abstract

The pre-cooling engine cools the incoming air through a pre-cooler and then makes it enter the subsequent components to work. This type of engine is one of the most important development directions in the combined power scheme. In order to accurately control the lean-burn gas temperature and oxygen concentration under different incoming flow conditions, and adjust it through the nitrogen-to-hydrogen ratio (GNGH) and oxygen-to-hydrogen ratio (GOGH). The oxygen concentration and temperature were obtained by thermal calculation and the optimal nitrogen-hydrogen ratio and oxygen-hydrogen ratio were optimized by genetic algorithm. Finally, the sensitivity analysis of the influence of nitrogen-hydrogen ratio and oxygen-hydrogen ratio on temperature and oxygen concentration was performed near the optimal point. According to the research, when α (weight coefficient) is determined, as the height increases, GNGH and GOGH decreases, and the amount of hydrogen required increases. When α > 1, the temperature term plays a major role in the optimization result. When α < 0.01, the oxygen concentration term plays a major role in the optimization result. When 0.01 < α < 1, the temperature term and oxygen concentration term are considered to have an effect on the optimization result at the same time. For the sensitivity analysis of the nitrogen-hydrogen ratio, oxygen-hydrogen ratio, temperature and oxygen concentration under different working conditions, accurate numerical results have also been obtained.