A new methodology for recalibrating cup anemometers based on field measurements and statistical analysis

Abstract

This paper presents a novel methodology for calibrating cup anemometers, addressing a critical need in the wind energy sector for accurate and reliable wind speed measurement. Ensuring measurement accuracy through calibration remains a major challenge. In response, a cost-effective alternative methodology is presented that takes advantage of statistical analysis techniques. York linear regression is applied for the estimation of calibration coefficients, a novelty in the context of cup anemometer calibration. The approach overcomes the limitations of traditional procedures reliant on wind tunnel facilities. Experimental validation of the proposed methodology, carried out with wind turbines placed at a height of 10 meters, demonstrates that a reliable calibration can be achieved even in sites with a low wind regime.