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Large eddy simulation studies of the effects of alignment and wind farm length
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1.
1.World Wind Energy Association, Half-year report 2011, August 2011.
2.
2.Commission of the European Communities, A European strategic energy technology plan—technology map, 2007.
3.
3. U.S. Department of Energy, 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply (U.S. Department of Energy, 2008).
4.
4. D. Keith, J. DeCarolis, D. Denkenberger, D. Lenschow, S. Malyshev, S. Pacala, and P. J. Rasch, “ The influence of large-scale wind power on global climate,” Proc. Natl. Acad. Sci. U.S.A. 101, 16115 (2004).
http://dx.doi.org/10.1073/pnas.0406930101
5.
5. C. Wang and R. G. Prinn, “ Potential climatic impacts and reliability of very large-scale wind farms,” Atmos. Chem. Phys. 10, 2053 (2010).
http://dx.doi.org/10.5194/acp-10-2053-2010
6.
6. S. Baidya-Roy, S. W. Pacala, and R. L. Walko, “ Can large scale wind farms affect local meteorology?,” J. Geophys. Res. 109, D19101, doi:10.1029/2004JD004763 (2004).
http://dx.doi.org/10.1029/2004JD004763
7.
7. D. B. Barrie and D. B. Kirk-Davidoff, “ Weather response to a large wind turbine array,” Atmos. Chem. Phys. 10, 769 (2010).
http://dx.doi.org/10.5194/acp-10-769-2010
8.
8. L. Zhou, Y. Tian, S. Baidya-Roy, C. Thorncroft, L. F. Bosart, and Y. Hu, “ Impacts of wind farms on land surface temperature,” Nat. Clim. Change 2, 539 (2012).
http://dx.doi.org/10.1038/NCLIMATE1505
9.
9. B. Sanderse, S. P. van der Pijl, and B. Koren, “ Review of computational fluid dynamics for wind turbine wake aerodynamics,” Wind Energy 14, 799 (2011).
http://dx.doi.org/10.1002/we.458
10.
10. L. Vermeer, J. Sørensen, and A. Crespo, “ Wind turbine wake aerodynamics,” Progr. Aerosp. Sci. 39, 467 (2003).
http://dx.doi.org/10.1016/S0376-0421(03)00078-2
11.
11. Á. Jiménez, A. Crespo, E. Migoya, and J. Garcia, “ Large-eddy simulation of spectral coherence in a wind turbine wake,” Environ. Res. 3, 015004 (2008).
http://dx.doi.org/10.1088/1748-9326/3/1/015004
12.
12. Á. Jiménez, A. Crespo, and E. Migoya, “ Application of a LES technique to characterize the wake deflection of a wind turbine in yaw,” Wind Energy 13, 559 (2010).
http://dx.doi.org/10.1002/we.380
13.
13. M. Calaf, C. Meneveau, and J. Meyers, “ Large eddy simulations of fully developed wind-turbine array boundary layers,” Phys. Fluids 22, 015110 (2010).
http://dx.doi.org/10.1063/1.3291077
14.
14. S. Ivanell, Ph.D. thesis, Department of Mechanics, Gotland University, Stockholm, Sweden, 2010.
15.
15. Y.-T. Wu and F. Porté-Agel, “ Large-eddy simulation of wind-turbine wakes: Evaluation of turbine parametrisations,” Boundary-Layer Meteorol. 138, 345366 (2011).
http://dx.doi.org/10.1007/s10546-010-9569-x
16.
16. M. J. Churchfield, S. Lee, P. J. Moriarty, L. A. Martínez, S. Leonardi, G. Vijayakumar, and J. G. Brasseur, “ A large-eddy simulation of wind-plant aerodynamics,” 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, AIAA Paper No. 2012-0537, 2012.
http://dx.doi.org/10.2514/6.2012-537
17.
17. J.-O. Mo, A. Choudhry, M. Arjomandi, and Y.-H. Lee, “ Large eddy simulation of the wind turbine wake characteristics in the numerical wind tunnel model,” J. Wind Eng. Ind. Aerodyn. 112, 11 (2013).
http://dx.doi.org/10.1016/j.jweia.2012.09.002
18.
18. C. Li, S. Zhu, Y. Xu, and Y. Xiao, “ 2.5D large eddy simulation of vertical axis wind turbine in consideration of high angle of attack flow,” Renewable Energy 51, 317 (2013).
http://dx.doi.org/10.1016/j.renene.2012.09.011
19.
19. L. A. Martínez, S. Leonardi, M. Churchfield, and P. Moriarty, “ A comparison of actuator disk and actuator line wind turbine models and best practices for their use,” 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, AIAA Paper No. 2012-0900, 2012.
http://dx.doi.org/10.2514/6.2012-900
20.
20. J. E. Cater, S. E. Norris, and R. C. Storey, “ Comparison of wind turbine actuator methods using large eddy simulation,” 18th Australasian Fluid Mechanics Conference Launceston, Australia 3–7 December 2012.
21.
21. N. Troldborg, J. Sørensen, and R. Mikkelsen, “ Numerical simulations of wake characteristics of a wind turbine in uniform inflow,” Wind Energy 13, 86 (2010).
http://dx.doi.org/10.1002/we.345
22.
22. N. Troldborg, G. C. Larsen, H. A. Madsen, K. S. Hansen, J. N. Sørensen, and R. Mikkelsen, “ Numerical simulations of wake interaction between two wind turbines at various inflow conditions,” Wind Energy 14, 859 (2011).
http://dx.doi.org/10.1002/we.433
23.
23. R. C. Storey, S. E. Norris, K. A. Stol, and J. E. Cater, “ Large eddy simulation of dynamically controlled wind turbines in an offshore environment,” Wind Energy 16, 845864 (2013).
http://dx.doi.org/10.1002/we.1525
24.
24. M. J. Churchfield, S. Lee, J. Michalakes, and P. J. Moriarty, “ A numerical study of the effects of atmospheric and wake turbulence on wind turbine dynamics,” J. Turbul. 13, N14 (2012).
http://dx.doi.org/10.1080/14685248.2012.668191
25.
25. S. Lee, M. Churchfield, P. Moriarty, J. Jonkman, and J. Michalakes, “ Atmospheric and wake turbulence impacts on wind turbine fatigue loadings,” 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, AIAA Paper No. 2012-0540, 2012.
http://dx.doi.org/10.2514/6.2012-540
26.
26. J. Meyers and C. Meneveau, “ Large eddy simulations of large wind-turbine arrays in the atmospheric boundary layer,” 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition AIAA 2010-0827, 2010.
27.
27. M. Calaf, M. B. Parlange, and C. Meneveau, “ Large eddy simulation study of scalar transport in fully developed wind-turbine array boundary layers,” Phys. Fluids 23, 126603 (2011).
http://dx.doi.org/10.1063/1.3663376
28.
28. R. Cal, J. Lebrón, L. Castillo, H. Kang, and C. Meneveau, “ Experimental study of the horizontally averaged flow structure in a model wind-turbine array boundary layer,” J. Renewable Sustainable Energy 2, 013106 (2010).
http://dx.doi.org/10.1063/1.3289735
29.
29. Y.-T. Wu and F. Porté-Agel, “ Simulation of turbulent flow inside and above wind farms: model validation and layout effects,” Boundary-Layer Meteorol. 146, 181 (2013).
http://dx.doi.org/10.1007/s10546-012-9757-y
30.
30. L. P. Chamorro, R. E. A. Arndt, and F. Sotiropoulos, “ Turbulent flow properties around a staggered wind farm,” Boundary-Layer Meteorol. 141, 349 (2011).
http://dx.doi.org/10.1007/s10546-011-9649-6
31.
31. X. Yang, S. Kang, and F. Sotiropoulos, “ Computational study and modeling of turbine spacing effects in infinite aligned wind farms,” Phys. Fluids 24, 115107 (2012).
http://dx.doi.org/10.1063/1.4767727
32.
32. R. J. Barthelmie, K. Hansen, S. T. Frandsen, O. Rathmann, J. G. Schepers, W. Schlez, J. Phillips, K. Rados, A. Zervos, E. S. Politis, and P. Chaviaropoulos, “ Modelling and measuring flow and wind turbine wakes in large wind farms offshore,” Wind Energy 12, 431 (2009).
http://dx.doi.org/10.1002/we.348
33.
33. Y. T. Wu and F. Porté-Agel, “ Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm,” in International Conference on Aerodynamics of Offshore Wind Energy Systems and Wakes (ICOWES2013) (2013), p. 537.
34.
34. C. L. Archer, S. Mirzaeisefat, and S. Lee, “ Quantifying the sensitivity of wind farm performance to array layout options using large-eddy simulation,” Geophys. Res. Lett. 40, 4963, doi:10.1002/grl.50911 (2013).
http://dx.doi.org/10.1002/grl.50911
35.
35. R. J. A. M. Stevens, J. Graham, and C. Meneveau, “ A concurrent precursor inflow method for large eddy simulations and applications to finite length wind farms,” Renewable Energy 68, 4650 (2014).
http://dx.doi.org/10.1016/j.renene.2014.01.024
36.
36. E. Bou-Zeid, C. Meneveau, and M. B. Parlange, “ A scale-dependent Lagrangian dynamic model for large eddy simulation of complex turbulent flows,” Phys. Fluids 17, 025105 (2005).
http://dx.doi.org/10.1063/1.1839152
37.
37. C.-H. Moeng, “ A large-eddy simulation model for the study of planetary boundary-layer turbulence,” J. Atmos. Sci. 41, 2052 (1984).
http://dx.doi.org/10.1175/1520-0469(1984)041<2052:ALESMF>2.0.CO;2
38.
38. J. Meyers and C. Meneveau, “ Optimal turbine spacing in fully developed wind farm boundary layers,” Wind Energy 15, 305 (2012).
http://dx.doi.org/10.1002/we.469
39.
39. T. Burton, D. Sharpe, N. Jenkins, and E. Bossanyi, Wind Energy Handbook (John Wiley & Sons, New York, 2001).
40.
40. R. J. A. M. Stevens, D. F. Gayme, and C. Meneveau, “ Effect of turbine placement on the average power output of finite length wind farms,” in International Conference on Aerodynamics of Offshore Wind Energy Systems and Wakes (ICOWES2013), (2013), p. 611.
41.
41. R. Barthelmie, S. Frandsen, O. Rathmann, K. Hansen, E. Politis, J. Prospathopoulos, J. Schepers, K. Rados, D. Cabezøn, W. Schlez, A. Neubert, and M. Heath, Flow and wakes in large wind farms: Final report for Up Wind WP8, Report No. Ris-R-1765(EN), 2011.
42.
42. J. Newman, J. Lebron, C. Meneveau, and L. Castillo, “ Streamwise development of the wind turbine boundary layer over a model wind turbine array,” Phys. Fluids 25, 085108 (2013).
http://dx.doi.org/10.1063/1.4818451
43.
43. S. McTavish, D. Feszty, and F. Nitzsche, “ A study of the performance benefits of closely-spaced lateral wind farm configurations,” Renewable Energy 59, 128 (2013).
http://dx.doi.org/10.1016/j.renene.2013.03.032
44.
44. S. McTavish, D. Feszty, and F. Nitzsche, “ An experimental and computational assessment of blockage effects on wind turbine wake development,” Wind Energy (published online, 2013).
http://dx.doi.org/10.1002/we.1648
45.
45. D. J. Renkema, Master's thesis, Delft University, The Netherlands, 2007.
46.
46. K. S. Hansen, R. J. Barthelmie, L. E. Jensen, and A. Sommer, “ The impact of turbulence intensity and atmospheric stability on power deficits due to wind turbine wakes at Horns Rev wind farm,” Wind Energy 15, 183 (2012).
http://dx.doi.org/10.1002/we.512
47.
47. N. O. Jensen, A note on wind generator interaction, Risø-M-2411, Risø National Laboratory, Roskilde, 1984.
48.
48. I. Katić, J. Højstrup, and N. O. Jensen, “ A simple model for cluster efficiency,” in European Wind Energy Association Conference and Exhibition, Rome, Italy, 7–9 October, 1986.
49.
49. J. Wieringa, A. Davenport, C. Grimmond, and T. R. Oke, “ New revision of Davenport Roughness classification,” in 3rd European & African Conference on Wind Engineering (3EACWE), Eindhoven, The Netherlands, 2001.
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/content/aip/journal/jrse/6/2/10.1063/1.4869568
2014-04-01
2014-07-25

Abstract

Large eddy simulations of wind farms are performed to study the effects of wind turbine row alignment with respect to the incoming flow direction. Various wind farms with fixed stream-wise spacing (7.85 rotor diameters) and varying lateral displacements and span-wise turbine spacings are considered, for a fixed inflow direction. Simulations show that, contrary to common belief, a perfectly staggered (checker-board) configuration does not necessarily give the highest average power output. Instead, the highest mean wind farm power output is found to depend on several factors, the most important one being the alignment that leads to minimization of wake effects from turbines in several upstream rows. This alignment typically occurs at significantly smaller angles than those corresponding to perfect staggering. The observed trends have implications for wind farm designs, especially in sites with a well-defined prevailing wind direction.

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Scitation: Large eddy simulation studies of the effects of alignment and wind farm length
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