EXPERIMENTAL DATA REGARDING THE EFFECTS OF UREA ADDITION INTO LIQUID FUEL TO COMBUSTION ENHANCEMENT OF A LOW NOX GAS TURBINE COMBUSTOR

• Combustion performance data: gas flue temperature, NOx, CO2, CO, O2. The gas flue temperature was acquired at 4 Hz: the average value and the standard deviation are reported in the file COMBUSTION_PERFORMANCE.xlsx – sheet named OPERATING_CONDITIONS, in combination with the controlled data inlet gas temperature of 410 K, the fuel mass flow rate of 0.001 kg/s and the total air mass flow rate varied between 0.04 kg/s and 0.08 kg/s depending on the overall equivalence ratio. Instead, pollutant emissions were simultaneously acquired by means of the portable gas analyser model PG-350E Horiba, at sampling frequency of 1 Hz. The average value and the standard deviation of each specie concentration are reported in the file COMBUSTION_PERFORMANCE.xlsx - sheet named EMISSIONS. The files rawData_test#.xlsx, with # denoting the test case number, report the raw signal data.

• Luminosity matrix of the VIS images. 100 images are provided sampled at 1 kHz corresponding to 0.1 s of investigated time. For each test case, a 3D matrix of 1024×1240x100 elements are provided in Matlab workspace data format: test1_BB.mat, test2_BB.mat, test3_BB.mat, test4_BB.mat, test5_BB.mat, test6_BB.mat. Into each Matlab data file, three variables have been stored: 1) YIC: 3D single-precision data type tensor, size 1024x1240x100 (calibration factor: 0.041 mm/pixel), representing the y-coordinate (units: pixels), the x-coordinate (units: pixels), and the number of time points, respectively. 2) nImages: integer scalar, number of images. 3) Fs: double-precision scalar, sampling frequency.

• Luminosity matrix of the OH* images. 100 images are provided sampled at 1 kHz corresponding to 0.1 s of investigated time. For each test case, a 3D matrix of 966×1574x100 elements are provided in Matlab workspace data format: test1_OH.mat, test2_OH.mat, test3_OH.mat, test4_OH.mat, test5_OH.mat, test6_OH.mat. Into each Matlab data file, three variables have been stored: 1) YIC: 3D single-precision data type tensor, size 966x1574x100 (calibration factor: 0.067 mm/pixel). representing the y-coordinate (units: pixels), the x-coordinate (units: pixels), and the number of time points, respectively. 2) nImages: integer scalar. number of images. 3) Fs: double-precision scalar. sampling frequency.

• Luminosity matrix of the CH* images. 100 images are provided sampled at 1 kHz corresponding to 0.1 s of investigated time. For each test case, a 3D matrix of 966×1574x100 elements are provided in Matlab workspace data format: test1_CH.mat, test2_CH.mat, test3_CH.mat, test4_CH.mat, test5_CH.mat, test6_CH.mat. Into each Matlab data file, three variables have been stored: 1) YIC: 3D single-precision data type tensor, size 966x1574x100 (calibration factor: 0.067 mm/pixel), representing the y-coordinate space (units: pixels), the x-coordinate space (units: pixels), and the number of time points, respectively. 2) nImages: integer scalar, number of images. 3) Fs: double-precision scalar, sampling frequency.