Monte Carlo method for determining the uncertainty related to LED street light luminous flux measurement

LED-based street light has gained more popularity in these recent years. This type of lighting has been proven to have a longer lifetime and is more efficient compared with high-pressure sodium street lights. To ensure the road safety aspect in the utilization of LED street lights, accurate measurement of its luminous flux levels is mandatory. In this work, the accurate measurement for the luminous flux of the street light uses a type-C goniophotometer. The measurement uncertainty associated with the luminous flux of the street light is evaluated from the influence of uncertainty components. The uncertainty is commonly estimated with the GUM method and involves a good understanding of complex mathematical modeling. In this research, the Monte Carlo method is proposed to reduce the complexity of the uncertainty evaluation in the luminous flux measurement of the LED street lights. The uncertainty evaluation is described, and the results are compared with the GUM method. The evaluation result shows a good agreement between the measurement uncertainty that is estimated using MCM and the GUM method.