Application of simulated lidar scanning patterns to constrained Gaussian turbulence fields for load validation

Wind Energy

Volumn 20, Issue 1, 2017, Pages 79-95

  Dimitrov, Nikolay ^a   Natarajan, Anand ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

constrained; lidar; load simulations; load verification; random field; turbulence; uncertainty; wind measurements

Indexed keywords

AEROELASTICITY; COPYRIGHTS; OPTICAL RADAR; SCANNING; TIME SERIES; TURBULENCE; UNCERTAINTY ANALYSIS; WIND TURBINES;

CONSTRAINED; LOAD SIMULATION; RANDOM FIELDS; UNCERTAINTY; WIND MEASUREMENT;

LOADS (FORCES);

FIELD METHOD; GAUSSIAN METHOD; LIDAR; NUMERICAL MODEL; SOFTWARE; THREE-DIMENSIONAL MODELING; TIME SERIES; TURBULENCE; UNCERTAINTY ANALYSIS; WIND TURBINE; WIND VELOCITY;

EID: 84971422857     PISSN: 10954244     EISSN: 10991824     Source Type: Journal    
DOI: 10.1002/we.1992     Document Type: Article

References (22)

1. Veers PS. Three-dimensional wind simulation. Sandia National Laboratories Report No. SAND88-0152, Albuquerque, New Mexico, 1988.
2. Mann J. The spatial structure of neutral atmospheric surface-layer turbulence. Fluid Mechanics 1994; 273: 141–168.
3. Mann J. Wind field simulation. Probabilistic Engineering Mechanics 1998; 13: 269–282.
4. Bierbooms W, Cheng PW. Stochastic gust model for design calculations of wind turbines. Journal of Wind Engineering and Industrial Aerodynamics 2002; 90: 1237–1251.
5. Nielsen M, Larsen GC, Mann J, Ott S, Hansen KS, Pedersen BJ. Wind Simulation for Extreme and Fatigue Loads. Tech. Rep. Risø-R-1437(EN), Risø National Laboratory: Roskilde, Denmark, 2004.
6. Bierbooms W, Veldkamp D. Time domain comparison of simulated and measured wind turbine loads using constrained wind fields. In Proceedings of the Euromech Colloquium ‘Wind Energy’. ISBN-10 3-540-33865-9 Springer, Berlin Heidelberg New York 2007.
7. Kim T, Pedersen MM, Larsen TJ. A comparison study of the two-bladed partial pitch turbine during normal operation and an extreme gust conditions. Journal of Physics: Conference Series (Online) 2014; 524: 012065.
8. Stein ML. Statistical Interpolation of Spatial Data: Some Theory for Kriging. Springer: New York, 1999.
9. Ditlevsen OD. Dimension reduction and discretization in stochastic problems by regression method. In Mathematical Models for Structural Reliability Analysis. CRC Press: Boca Raton, 1996; 51–138.
10. Li CC, Der Kiureghian A. Optimal discretization of random fields. Journal of Engineering Mechanics 1993; 119: 1136–1154.
11. Hoffmann Y, Ribak E.Constrained realizations of Gaussian fields: a simple algorithm. The Astrophysical Journal, 380, L1–L8
12. Simley E, Pao LY. Correlation between rotating LIDAR measurements and blade effective wind speed. In Proceedings of the 51st AIAA Aerospace Sciences Meeting. Grapevine: Texas, 2013.
13. Simley E, Pao LY. LIDAR Wind speed measurements of evolving wind fields, Report No. NREL/SR-5000-55516, National Renewable Energy Laboratory, Boulder, Colorado, 2012.
14. ZephIR Lidar. ZephIR 300 and ZephIR DM brochure, 2015. http://www.zephirlidar.com/support/publications/, accessed 19-04-2016
15. Borraccino, A, Courtney, M, and Wagner, R. Generic methodology for calibrating profiling nacelle lidars. DTU Wind Energy Tech. Rep., DTU Wind Energy E; no. 0086, 2015
16. Bak C, Zahle F, Bitsche R, Kim T, Yde A, Henriksen LC, Natarajan, A, Hansen, M. Description of the DTU 10 MW reference wind turbine. DTU Wind Energy Report-I-0092, 2013.
17. Kristensen L, Lenschow DH, Kirkegaard P, Courtney M. The spectral velocity tensor for homogeneous boundary-layer turbulence. Boundary-Layer Meteorology 1989; 47: 149–193.
18. Kragh KA, Hansen MH, Mikkelsen T. Precision and shortcomings of yaw error estimation using spinner-based light detection and ranging. Wind Energy 2013; 16: 353–366.
19. Cundy H, Rollett A. Lissajous's figures, §5.5.3. In Mathematical Models (3rd edn). Stradbroke, England: Tarquin Pub, 1989; 242–244.
20. Larsen TJ, Hansen AM (2012) How to HAWC2, the user's manual. Tech. Rep. Risø-R-1597(ver.4-3) (EN), DTU Wind Energy, Roskilde, Denmark.
21. IEC. International Standard IEC 61400-1: Wind Turbines — Part 1: Design Guidelines, 2005, International Electrotechnical Commission, Geneva, Switzerland.
22. Chougule A, Mann J, Segalini A, Dellwik E. Spectral tensor parameters for wind turbine load modeling from forested and agricultural landscapes. Wind Energy 2013; 00: 1–12.