Volume 11 Issue 3 ( September 2024)

Measurement uncertainty is essential for accurate comparison and decision-making in various fields. The ISO/IEC GUM standardizes uncertainty estimation, yet traditional methods like the Law of Propagation of Uncertainties (LPU) face limitations. The Monte Carlo Method (MCM) offers a solution, especially for complex models. Our study explores MCM’s application in refriger-ator power measurement, overcoming challenges encountered with traditional methods. Three MCM methodologies— a priori, adaptive with 1 or 2 significant decimal digits—were tested. The findings reveal that while all three methods yield relatively similar results—51.3 WW estimated measured power with a standard uncertainty of 1.44 WW—the a priori method with MM=10⁶ and the adaptive method with 2 significant decimal digits exhibit greater stability compared to the adaptive method with 1 significant decimal digit. This underscores MCM’s effectiveness in handling intricate uncertainties and its potential for advancing measurement reliability and quality.

Keywords: measurement uncertainty; Monte Carlo method; ISO/IEC GUM; IEC 62552:2015; household refrigerator