20.500.12556/RUL-172086 A Monte Carlo simulation of measurement uncertainty in radiation thermometry due to the influence of spectral parameters While radiation thermometry is well-developed for laboratory calibrations using highemissivity sources, the effect of spectral emissivity in real-world conditions, where emissivity ranges from 0 to 1, is usually not considered. Spectral parameters that influence non-contact temperature measurements are often neglected even in laboratory conditions. These parameters become more important with decreasing emissivity and at lower temperatures, leading to increased uncertainty contributions to the measurement result. In this manuscript, we analyze the impact of various influential spectral parameters using the constructed spectral Monte Carlo simulation of radiation thermometry. The investigation covers the influence of spectral and related parameters, namely spectral emissivity, reflection temperature, spectral sensitivity and atmospheric parameters of temperature, relative humidity and distance of the path in the atmosphere. Simulation results are compared to experimental results, overestimating sensitivity to humidity by 23–27% and sensitivity to emissivity and reflected temperature within 10% at given conditions. Multiple cases of radiation thermometer (RT) use are simulated for measurement uncertainty: high temperature RT use as the reference in calibration by comparison, the use of a flat plate calibrator for RT calibration, measurements with a RT using emissivity input data from literature with relatively high uncertainty and temperature measurements with a RT using emissivity data, obtained with FTIR spectroscopy with relatively low uncertainty. Findings suggest that spectral uncertainty contributions are often unjustifiably underestimated and neglected, nearing extended uncertainty contribution of 1.94 ◦C in calibration practices using flat plate calibrators with emissivity within 0.93 and 0.97 and 1.72 ◦C when radiation thermometers with spectral ranges, susceptible to atmospheric humidity, are used on black bodies IRT RT radiation thermometry simulation uncertainty modelling Monte Carlo infrardeči termometer sevalni termometer sevalna termometrija simulacija negotovost modeliranje Monte Carlo true false true Angleški jezik Slovenski jezik Članek v reviji 2025-09-05 11:39:52 2025-09-05 11:39:58 2025-09-06 04:51:48 0000-00-00 00:00:00 2025 0 0 28 str. issue 13, art. 7618 Vol. 15 Jul.-1 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.317 2076-3417 10.3390/app15137618 247845635 applsci-15-07618-v3.pdf applsci-15-07618-v3.pdf 1 D9E21BEE767548D988BE5204A0E1F43F e5c82c587a0f7845a1beae7ee30e1ed101b95500838dc57abddf2cc6bcdad481 6deb8fab-8a3c-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=215836 https://www.mdpi.com/2076-3417/15/13/7618 1 23af68ba-8a3c-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=215835 Fakulteta za elektrotehniko 0 0 0