Comparison Technology of Wind Speed and Direction Anemometer for Wind Turbines Based on Doppler Lidar

Authors

  • Hua Zhang
  • Tao Xing
  • Minghui Liu
  • Xianmin Meng
  • Bin Zhao

DOI:

https://doi.org/10.62051/ijcsit.v3n2.37

Keywords:

Wind Turbines, Calibration Method, Doppler Lidar

Abstract

This paper focuses on the importance of sensors in wind turbines and the limitations of the current calibration method. It introduces a new technology based on Doppler lidar combined with numerical simulation to achieve in-situ and real-time calibration of the wind speed and direction sensor. The technology aims to evaluate the sensor's working status, quantify the influence of impeller interference, and improve the power generation efficiency of the unit. The key is to use numerical simulation modeling for direct comparison and evaluation. The research contents include quantifying the interference factors of the wind speed and direction sensor using numerical simulation and researching the use of Doppler lidar for sensor calibration. This technology offers advantages such as efficient status evaluation, in-depth result analysis, and reduced unit downtime, filling the technical gap in the wind power industry.

Downloads

Download data is not yet available.

References

Wind Turbine Wake Characterization with Nacelle-Mounted Wind Lidars for Analytical Wake Model Validation [J]. Fernando Carbajo Fuertes; Corey D. Markfort; Fernando Porté-Agel. Remote Sensing, 2018.

A review on wind turbine control and its associated methods [J]. Eduardo José Novaes Menezes; Alex Maurício Araújo; Nadège Sophie Bouchonneau da Silva. Journal of Cleaner Production, 2018.

Hub Height Ocean Winds over the North Sea Observed by the NORSEWInD Lidar Array: Measuring Techniques, Quality Control and Data Management [J]. Matthew Stickland; Torben Mikkelsen; Alfredo Peña; Michael Courtney; Detlef Stein; Charlotte Bay Hasager; Andrew Oldroyd. Remote Sensing, 2013.

The Gaussian Statistical Predictability of Wind Speeds [J]. Journal of Climate, 2013.

3D Volumetric Analysis of Wind Turbine Wake Properties in the Atmosphere Using High-Resolution Doppler Lidar [J]. Banta, Robert M; Pichugina, Yelena L; Brewer, W Alan; Lundquist, Julie K; Kelley, Neil D; Sandberg, Scott P; Alvarez, Raul J; Hardesty, R Michael; Weickmann, Ann M. Journal of Atmospheric and Oceanic Technology, 2015.

Downloads

Published

19-07-2024

Issue

Section

Articles

How to Cite

Zhang, H., Xing, T., Liu, M., Meng, X., & Zhao, B. (2024). Comparison Technology of Wind Speed and Direction Anemometer for Wind Turbines Based on Doppler Lidar. International Journal of Computer Science and Information Technology, 3(2), 345-349. https://doi.org/10.62051/ijcsit.v3n2.37