Prediction model of NOx emissions in the heavy-duty gas turbine combustor based on MILD combustion.

A prediction model of NO x emissions in heavy-duty gas turbine combustors based on the moderate and intense low-oxygen dilution (MILD) combustion was proposed, and the inlet parameter sensitivity analysis was also investigated to identify the impact weight for the practical operation of heavy-duty gas turbines. The optimal space-filling (OSF) design was first adopted to determine the optimal combination of gas temperature (T gas), primary air temperature (T first), secondary air temperature (T secondary), gas mass flow (m gas), primary air mass flow (m first), and secondary air mass flow (m secondary) for minimum NO x emissions. Based on the results of the OSF design, the minimum NO x emissions of 24.11 mg/m3 were obtained, and the corresponding T gas , T first , T secondary , m gas , m first , and m secondary were 769.67 K, 825.10 K, 722.61 K, 1.71 kg/s, 4.29 kg/s, and 7.69 kg/s within the range of 10% fluctuation of rated input parameters. The sensitivity ranking of the six inlet parameters was secondly achieved as m first > T first > T secondary > m secondary > m gas > T gas with the base of NO x emissions. Finally, a novel prediction model with six inlet parameters was established to quickly and accurately calculate the NO x emissions influenced by complicated boundary conditions in MILD combustion of heavy-duty gas turbines. • A NO x emission prediction model for heavy-duty gas turbines was proposed. • The impact weights of six inlet parameter sensitivities for NO x were investigated. • The optimal boundary combination for minimum NO x emission was obtained. • An optimal space-filling design was adopted to determine the optimal combination. [ABSTRACT FROM AUTHOR]