The invention discloses a
natural gas hydrogen-doped
combustion optimization method and
system for a gas
turbine, and the method comprises the steps: obtaining
combustion state parameters of a
mixed fuel under different mixing proportions under an experimental condition, the
combustion state parameters comprising combustion characteristic data and emission characteristic data; establishing a numerical calculation model for describing the
combustion process and emission characteristics of the
mixed fuel on the basis of combustion science and fluid
mechanics, and performing numerical
simulation on the
mixed fuel in different mixing proportions by adopting the numerical calculation model to obtain combustion state parameters of the mixed fuel; comparing and analyzing the combustion state parameters obtained by the experiment and the combustion state parameters obtained by the numerical
simulation, and optimizing the numerical calculation model according to the analysis result; expanding the mixing proportion of the mixed fuel, and performing numerical
simulation on the expanded mixed fuel by adopting the optimized numerical calculation model to obtain combustion state parameters of the mixed fuel and construct a training
data set; and adopting the training
data set to
train the
machine learning model, and adopting the trained
machine learning model to predict the mixing proportion of the mixed fuel. According to the method, by updating a numerical calculation model and a
machine learning model, optimal prediction under different fuel and combustion conditions can be realized.