Vol. 39, issue 03, article # 5
Copy the reference to clipboard
Abstract:
Studying wind turbine wakes is essential for optimizing wind turbine arrangement within wind farms. Pulsed coherent Doppler lidars (PCDLs) are the most effective tools for such studies. This paper suggests a new method for three-dimensional visualization of wind speed within a wake based on PCDL measurements. Numerical simulation shows that this method enables wind speed deficit estimates with a relative error of no more than 4%. An atmospheric experiment with the use of this three-dimensional visualization method reveals that the wake cross section exhibits a wind speed deficit structure close to an annular distribution, consistent with numerical simulation with the use of LES and RANS methods.
Keywords:
coherent Doppler lidar, wind, turbulence, wind turbine, wind turbine wake visualization, wind speed deficit
Figures:
References:
1. Kasler Y., Rahm S., Simmet R., Kühn M. Wake measurements of a multi-MW wind turbine with coherent long-range pulsed Doppler wind lidar // J. Atmos. Ocean. Technol. 2010. V. 27, N 9. P. 1529–1532. DOI: 10.1175/2010JTECHA1483.1.
2. Trujillo J.-J., Bingoel F., Larsen G.C., Mann J., Kühn M. Light detection and ranging measurements of wake dynamics. Part II: Two-dimensional scanning // Wind Energy. 2011. V. 14. P. 61–75. DOI: 10.1002/we.402.
3. Iungo G.V., Wu Y.-T., Porté-Agel F. Field measurements of wind turbine wakes with lidars // J. Atmos. Ocean. Technol. 2013. V. 30, N 2. P. 274–283. DOI: 10.1175/JTECH-D-12-00051.1.
4. Iungo G.V., Porté-Agel F. Measurement procedures for characterization of wind turbine wakes with scanning Doppler wind lidars // Adv. Sci. Res. 2013. V. 10. P. 71–75. DOI: 10.5194/asr-10-71-2013.
5. Smalikho I.N., Banakh V.A., Pichugina Y.L., Brewer W.A., Banta R.M., Lundquist J.K., Kelley N.D. Lidar investigation of atmosphere effect on a wind turbine wake // J. Atmos. Ocean. Technol. 2013. V. 30, N 11. P. 2554–2570. DOI: 10.1175/JTECH-D-12-00108.1.
6. Aitken M.L., Banta R.M., Pichugina Y.L., Lundquist J.K. Quantifying wind turbine wake characteristics from scanning remote sensor data // J. Atmos. Ocean. Technol. 2014. V. 31, N 4. P. 765–787. DOI: 10.1175/ JTECH-D-13-00104.1.
7. Iungo G.V., Porté-Agel F. Volumetric lidar scanning of wind turbine wakes under convective and neutral atmospheric stability regimes // J. Atmos. Ocean. Technol. 2014. V. 31, N 10. P. 2035–2048. DOI: 10.1175/JTECH-D-13-00252.1.
8. Banta R.M., Pichugina Y.L., Brewer W.A., Lundquist J.K., Kelley N.D., Sandberg S.P., Alvarez R.J., Hardesty R.M., Weickmann A.M. 3D volumetric analysis of wind turbine wake properties in the atmosphere using high-resolution Doppler lidar // J. Atmos. Ocean. Technol. 2015. V. 32, N 5. P. 904–914. DOI: 10.1175/JTECH-D-14-00078.1.
9. Banakh V.A., Smalikho I.N. Kogerentnye doplerovskie vetrovye lidary v turbulentnoi atmosfere. Tomsk: Izd-vo IOA SO RAN, 2013. 304 p.
10. Lamli Dj., Panovskii G. Struktura atmosfernoi turbulentnosti. M.: Mir, 1966. 264 p.
11. Monin A.S., Yaglom A.M. Statisticheskaya gidromekhanika. Pt. 2. M.: Nauka, 1967. 720 p.
12. Smalikho I.N., Banakh V.A., Razenkov I.A., Sukharev A.A., Falits A.V., Sherstobitov A.M. Sravnenie rezul'tatov sovmestnykh izmerenii skorosti vetra kogerentnymi doplerovskimi lidarami Stream Line i LRV // Optika atmosf. i okeana. 2022. V. 35, N 10. P. 826–835. DOI: 10.15372/AOO20221005; Smalikho I.N., Banakh V.A., Razenkov I.A., Sukharev A.A., Falits A.V., Sherstobitov A.M. Comparison of results of joint wind velocity measurements with the Stream Line and WPL coherent Doppler lidars // Atmos. Ocean. Opt. 2022. V. 35, N S1. P. S79–S91. DOI: 10.1134/S1024856023010177.
13. Vollmer L., Lee J.C.-Y., Steinfeld G., Lundquist J.K. A wind turbine wake in changing atmospheric conditions: LES and lidar measurements // IOP Conf. Series: J. Phys. 2017. V. 854. P. 012050. DOI: 10.1088/1742-6596/854/1/012050.
14. Van der Laan M.P., Kelly M., Baungaard M., Dicholkar A., Hodgson E.L. A simple steady-state inflow model of the neutral and stable atmospheric boundary layer applied to wind turbine wake simulations // Wind Energ. Sci. 2024. V. 9. P. 1985–2000. DOI: 10.5194/wes-9-1985-2024.