Abstract
This chapter highlights key contributions to the scientific literature on the sources of wind shear and wind veer in the atmospheric boundary layer, observations of shear and veer, and the effects of shear and veer on wind turbine power production, wind turbine wake evolution, and wind turbine loads. As wind turbines have grown larger, they encounter deeper and more complicated regions of the atmosphere. Over this height, profiles of wind speed shear and wind direction veer play a quantifiable role. Changes in the wind speed and wind direction across the vertical extent of a wind turbine rotor disk modify the inflow vector on the blades of the turbine, thereby affecting the magnitude and orientation of the lift and drag forces of the blade’s airfoil. These changes can affect the power production and loads on large modern turbines, as well as the evolution of the wake that could affect a downwind turbine.
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References
Abkar M, Porté-Agel F (2015) Influence of atmospheric stability on wind-turbine wakes: a large-eddy simulation study. Phys Fluids 1994-Present 27:035104. https://doi.org/10.1063/1.4913695
Abkar M, Sharifi A, Porté-Agel F (2016) Wake flow in a wind farm during a diurnal cycle. J Turbul 17:420–441. https://doi.org/10.1080/14685248.2015.1127379
Abkar M, Sørensen J, Porté-Agel F (2018) An analytical model for the effect of vertical wind veer on wind turbine wakes. Energies 11:1838. https://doi.org/10.3390/en11071838
Antoniou I, Pedersen SM, Enevoldsen PB (2009) Wind shear and uncertainties in power curve measurement and wind resources. Wind Eng 33:449–468
Baas P, Bosveld FC, Baltink HK, Holtslag AAM (2009) A climatology of nocturnal low-level jets at Cabauw. J Appl Meteorol Climatol 48:1627–1642. https://doi.org/10.1175/2009JAMC1965.1
Bardal LM, Sætran LR, Wangsness E (2015) Performance test of a 3MW wind turbine – effects of shear and turbulence. Energy Proc 80:83–91. https://doi.org/10.1016/j.egypro.2015.11.410
van den Berg GP (2008) Wind turbine power and sound in relation to atmospheric stability. Wind Energy 11:151–169. https://doi.org/10.1002/we.240
Bhaganagar K, Debnath M (2015) The effects of mean atmospheric forcings of the stable atmospheric boundary layer on wind turbine wake. J Renew Sustain Energy 7:013124. https://doi.org/10.1063/1.4907687
Blackadar AK (1957) Boundary layer wind MAxima and their significance for the growth of nocturnal inversions. Bull Am Meteorol Soc 38:283–290
Bodini N, Zardi D, Lundquist JK (2017) Three-dimensional structure of wind turbine wakes as measured by scanning lidar. Atmos Meas Tech 10:2881–2896. https://doi.org/10.5194/amt-10-2881-2017
Bodini N, Lundquist JK, Kirincich A (2019) U.S. East Coast lidar measurements show offshore wind turbines will encounter very low atmospheric turbulence. Geophys Res Lett 46:5582–5591. https://doi.org/10.1029/2019GL082636
Bodini N, Lundquist JK, Kirincich A (2020) Offshore wind turbines will encounter very low atmospheric turbulence. J Phys Conf Ser 1452:012023. https://doi.org/10.1088/1742-6596/1452/1/012023
Bolinger M, Wiser RH (2020) Wind technologies market report |Electricity Markets and Policy Group. https://emp.lbl.gov/wind-technologies-market-report/. Accessed 20 Mar 2021
Bromm M, Vollmer L, Kühn M (2017) Numerical investigation of wind turbine wake development in directionally sheared inflow. Wind Energy 20:381–395. https://doi.org/10.1002/we.2010
Brower M (2012) Wind resource assessment: a practical guide to develo** a wind project. Wiley, Hoboken, 298pp
Brugger P, Fuertes FC, Vahidzadeh M, Markfort CD, Porté-Agel F (2019) Characterization of wind turbine wakes with Nacelle-Mounted Doppler LiDARs and model validation in the presence of wind veer. Remote Sens 11:2247. https://doi.org/10.3390/rs11192247
Bulaevskaya V, Wharton S, Clifton A, Qualley G, Miller WO (2015) Wind power curve modeling in complex terrain using statistical models. J Renew Sustain Energy 7:013103. https://doi.org/10.1063/1.4904430
Choukulkar A, Pichugina Y, Clack CTM, Calhoun R, Banta R, Brewer A, Hardesty M (2016) A new formulation for rotor equivalent wind speed for wind resource assessment and wind power forecasting. Wind Energy 19:1439–1452. https://doi.org/10.1002/we.1929
Churchfield MJ, Sirnivas S (2018) On the effects of wind turbine wake skew caused by wind veer. In: 2018 wind energy symposium, 0755
Clack CTM, Alexander A, Choukulkar A, MacDonald AE (2016) Demonstrating the effect of vertical and directional shear for resource map** of wind power. Wind Energy 19:1687–1697. https://doi.org/10.1002/we.1944
Clifton A, Kilcher L, Lundquist JK, Fleming P (2013) Using machine learning to predict wind turbine power output. Environ Res Lett 8:024009. https://doi.org/10.1088/1748-9326/8/2/024009
Crawford KC, Hudson HR (1973) The diurnal wind variation in the lowest 1500 ft in central Oklahoma. June 1966–May 1967, J Appl Meteor Climat, 12(1):127–132. https://journals.ametsoc.org/view/journals/apme/12/1/1520-0450_1973_012_0127_tdwvit_2_0_co_2.xml
Dee DP, Coauthors (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597. https://doi.org/10.1002/qj.828
Dimitrov N, Kelly MC, Vignaroli A, Berg J (2018) From wind to loads: wind turbine site-specific load estimation with surrogate models trained on high-fidelity load databases. Wind Energy Sci 3:767–790. https://doi.org/10.5194/wes-3-767-2018
Dörenkämper M, Optis M, Monahan A, Steinfeld G (2015) On the offshore advection of boundary-layer structures and the influence on offshore wind conditions. Bound-Layer Meteorol 155:459–482. https://doi.org/10.1007/s10546-015-0008-x
Eggers AJ Jr, Digumarthi R, Chaney K (2003) Wind shear and turbulence effects on rotor fatigue and loads control. J Sol Energy Eng 125:402–409. https://doi.org/10.1115/1.1629752
Englberger A, Lundquist JK (2020) How does inow veer affect the veer of a wind-turbine wake? J Phys Conf Ser 1452:012068. https://doi.org/10.1088/1742-6596/1452/1/012068
Englberger A, Lundquist JK, Dörnbrack A (2020) Changing the rotational direction of a wind turbine under veering inflow: a parameter study. Wind Energy Sci 5:1623–1644. https://doi.org/10.5194/wes-5-1623-2020
Fedorovich E, Gibbs JA, Shapiro A (2017) Numerical study of nocturnal low-level jets over gently slo** terrain. J Atmospheric Sci 74:2813–2834. https://doi.org/10.1175/JAS-D-17-0013.1
Fitch AC, Lundquist JK, Olson JB (2013) Mesoscale influences of wind farms throughout a diurnal cycle. Mon Weather Rev 141:2173–2198. https://doi.org/10.1175/MWR-D-12-00185.1
Fleming P, Coauthors (2019) Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1. Wind Energy Sci 4:273–285. https://doi.org/10.5194/wes-4-273-2019
Fleming P, Coauthors (2020) Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2. Wind Energy Sci 5:945–958. https://doi.org/10.5194/wes-5-945-2020
Gadde SN, Stevens RJAM (2019) Effect of Coriolis force on a wind farm wake. J Phys Conf Ser 1256:012026. https://doi.org/10.1088/1742-6596/1256/1/012026
Gao L( ), Li B( ), Hong J( ) (2021) Effect of wind veer on wind turbine power generation. Phys Fluids 33:015101. https://doi.org/10.1063/5.0033826
Howland MF, González CM, Martínez JJP, Quesada JB, Larrañaga FP, Yadav NK, Chawla JS, Dabiri JO (2020) Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment. J Renew Sustain Energy 12:063307. https://doi.org/ 10.1063/5.0023746
IEC 61400-1 (2019) International Standard 61400-1: wind turbines – Part 1: design requirements, Edition 4.0
IEC 61400-12-1 (2017) International Standard 61400-12-1: wind energy generation systems – Part 12-1: power performance measurements of electricity producing wind turbines; Edition 2.0
Kallistratova MA, Kouznetsov RD (2012) Low-level jets in the Moscow region in summer and winter observed with a Sodar network. Bound-Layer Meteorol 143:159–175. https://doi.org/ 10.1007/s10546-011-9639-8
Kallistratova MA, Kouznetsov RD, Kramar VF, Kuznetsov DD (2013) Profiles of wind speed variances within nocturnal low-level jets observed with a sodar. J Atmos Ocean Technol 30:1970–1977. https://doi.org/10.1175/JTECH-D-12-00265.1
Kalverla PC, Duncan JB Jr, Steeneveld G-J, Holtslag AAM (2019) Low-level jets over the North Sea based on ERA5 and observations: together they do better. Wind Energy Sci 4:193–209. https://doi.org/10.5194/wes-4-193-2019
Kelley ND (1999) A case for including atmospheric thermodynamic variables in wind turbine fatigue loading parameter identification. In: Second symposium on wind conditions for wind turbine design, IEA Annex XI, Roskilde, NREL/CO-500-26829, 18. https://www.nrel.gov/docs/fy99osti/26829.pdf
Kelley ND, Jonkman BJ, Scott GN (2006) The great plains turbulence environment: its origins, impact, and simulation – 40176.pdf. National Renewable Energy Lab. http://www.nrel.gov/docs/fy07osti/40176.pdf. Accessed 10 Feb 2017
Lindvall J, Svensson G (2019) Wind turning in the atmospheric boundary layer over land. Q J R Meteorol Soc 145:3074–3088. https://doi.org/10.1002/qj.3605
Lundquist JK, Churchfield MJ, Lee S, Clifton A (2015) Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics. Atmos Meas Tech 8:907–920. https://doi.org/10.5194/amt-8-907-2015
Lundquist JK, DuVivier KK, Kaffine D, Tomaszewski JM (2019) Costs and consequences of wind turbine wake effects arising from uncoordinated wind energy development. Nat Energy 4:26–34. https://doi.org/10.1038/s41560-018-0281-2
McCaffrey K, Coauthors (2019) Identification and characterization of persistent cold pool events from temperature and wind profilers in the Columbia River Basin. J Appl Meteorol Climatol 58:2533–2551. https://doi.org/10.1175/JAMC-D-19-0046.1
Mirocha JD, Rajewski DA, Marjanovic N, Lundquist JK, Kosović B, Draxl C, Churchfield MJ (2015) Investigating wind turbine impacts on near-wake flow using profiling lidar data and large-eddy simulations with an actuator disk model. J Renew Sustain Energy 7:043143. https://doi.org/10.1063/1.4928873
Motta M, Barthelmie RJ, Vølund P (2005) The influence of non-logarithmic wind speed profiles on potential power output at Danish offshore sites. Wind Energy 8:219–236. https://doi.org/ 10.1002/we.146
Murphy P, Lundquist JK, Fleming P (2020) How wind speed shear and directional veer affect the power production of a megawatt-scale operational wind turbine. Wind Energy Sci 5:1169–1190. https://doi.org/10.5194/wes-5-1169-2020
Pan Z, Segal M, Arritt RW (2004) Role of topography in forcing low-level jets in the central United States during the 1993 flood-altered terrain simulations. Mon Weather Rev 132:396–403. https://doi.org/10.1175/1520-0493(2004)132%3C0396:ROTIFL%3E2.0.CO;2
Panofsky HA, Townsend AA (1964) Change of terrain roughness and the wind profile. Q J R Meteorol Soc 90:147–155. https://doi.org/10.1002/qj.49709038404
Parish TR (2017) On the forcing of the summertime great plains low-level jet. J Atmos Sci 74:3937–3953. https://doi.org/10.1175/JAS-D-17-0059.1
Parish TR, Oolman LD (2010) On the role of slo** terrain in the forcing of the great plains low-level jet. J Atmos Sci 67:2690–2699. https://doi.org/10.1175/2010JAS3368.1
Peña A, Floors R, Gryning S-E (2014a) The Høvsøre tall wind-profile experiment: a description of wind profile observations in the atmospheric boundary layer. Bound-Layer Meteorol 150:69–89. https://doi.org/10.1007/s10546-013-9856-4
Peña A, Gryning S-E, Floors R (2014b) The turning of the wind in the atmospheric boundary layer. J Phys Conf Ser 524:012118. https://doi.org/10.1088/1742-6596/524/1/012118
Platis A, Coauthors (2018) First in situ evidence of wakes in the far field behind offshore wind farms. Sci Rep 8:2163. https://doi.org/10.1038/s41598-018-20389-y
Rareshide E, Coauthors (2009) Effects of complex wind regimes on turbine performance. undefined
Redfern S, Olson JB, Lundquist JK, Clack CTM (2019) Incorporation of the rotor-equivalent wind speed into the weather research and forecasting model’s wind farm parameterization. Mon Weather Rev 147:1029–1046
Rife DL, Pinto JO, Monaghan AJ, Davis CA, Hannan JR (2010) Global distribution and characteristics of diurnally varying low-level jets. J Clim 23:5041–5064. https://doi.org/ 10.1175/2010JCLI3514.1
Robertson AN, Shaler K, Sethuraman L, Jonkman J (2019) Sensitivity analysis of the effect of wind characteristics and turbine properties on wind turbine loads. Wind Energy Sci 4:479–513. https://doi.org/10.5194/wes-4-479-2019
Sanchez Gomez M, Lundquist JK (2020a) The effect of wind direction shear on turbine performance in a wind farm in central Iowa. Wind Energy Sci 5:125–139. https://doi.org/ 10.5194/wes-5-125-2020
Sanchez Gomez M, Lundquist JK (2020b) The effects of wind veer during the morning and evening transitions. J Phys Conf Ser 1452:012075. https://doi.org/10.1088/1742-6596/1452/1/012075
Sark WGJHMV, der Velde HCV, Coelingh JP, Bierbooms WAAM (2019) Do we really need rotor equivalent wind speed? Wind Energy 22:745–763. https://doi.org/10.1002/we.2319
Sathe A, Mann J, Barlas T, Bierbooms WAAM, van Bussel GJW (2013) Influence of atmospheric stability on wind turbine loads: atmospheric stability and loads. Wind Energy 16:1013–1032. https://doi.org/10.1002/we.1528
Savelyev SA, Taylor PA (2005) Internal boundary layers: I. Height formulae for neutral and diabatic flows. Bound-Layer Meteorol 115:1–25
Shapiro A, Fedorovich E (2009) Nocturnal low-level jet over a shallow slope. Acta Geophys 57:950–980. https://doi.org/10.2478/s11600-009-0026-5
Sharp J, Mass C (2002) Columbia Gorge gap flow: insights from observational analysis and ultra-high-resolution simulation. Bull Am Meteorol Soc 83:1757–1762
Shu Z, Li Q, He Y, Chan PW (2020) Investigation of Marine wind veer characteristics using wind lidar measurements. Atmosphere 11:1178. https://doi.org/10.3390/atmos11111178
Simley E, Angelou N, Mikkelsen T, Sjöholm M, Mann J, Pao LY (2016) Characterization of wind velocities in the upstream induction zone of a wind turbine using scanning continuous-wave lidars. J Renew Sustain Energy 8:013301. https://doi.org/10.1063/1.4940025
Smedman A-S, Tjernström M, Högström U (1993) Analysis of the turbulence structure of a marine low-level jet. Bound-Layer Meteorol 66:105–126. https://doi.org/10.1007/BF00705462
Smedman A-S, Högström U, Bergström H (1996) Low level jets – a decisive factor for off-shore wind energy siting in the Baltic Sea. Wind Engergy 20:137–147
Smith EN, Gebauer JG, Klein PM, Fedorovich E, Gibbs JA (2019) The great plains low-level jet during PECAN: observed and simulated characteristics. Mon Weather Rev 147:1845–1869. https://doi.org/10.1175/MWR-D-18-0293.1
Stensrud DJ (1996) Importance of low-level jets to climate: a review. J Clim 9:1698–1711. https://doi.org/10.1175/1520-0442(1996)009%3C1698:IOLLJT%3E2.0.CO;2
Stull RB (1988) An introduction to boundary layer meteorology. Springer Science & Business Media, Dordrecht, 688pp
Stull RB (2017) Practical meteorology an algebra-based survey of atmospheric science – version 1.02b. University of British Columbia, 940pp
Sumner J, Masson C (2006) Influence of atmospheric stability on wind turbine power performance curves. J Sol Energy Eng 128:531–538. https://doi.org/10.1115/1.2347714
Svensson G, Holtslag AAM (2009) Analysis of model results for the turning of the wind and related momentum fluxes in the stable boundary layer. Bound-Layer Meteorol 132:261–277. https://doi.org/10.1007/s10546-009-9395-1
Taylor PA (1969) The planetary boundary layer above a change in surface roughness. J Atmos Sci 26:432–440. https://doi.org/10.1175/1520-0469(1969)026%3C0432:TPBLAA%3E2.0.CO;2
Tuononen M, O’Connor EJ, Sinclair VA, Vakkari V (2017) Low-level jets over Utö, Finland, based on Doppler lidar observations. J Appl Meteorol Climatol 56:2577–2594. https://doi.org/10.1175/JAMC-D-16-0411.1
Ungurán R, Petrović V, Pao LY, Kühn M (2019) Uncertainty identification of blade-mounted lidar-based inflow wind speed measurements for robust feedback–feedforward control synthesis. Wind Energy Sci 4:677–692. https://doi.org/10.5194/wes-4-677-2019
Van Ulden AP, Holtslag AAM (1985) Estimation of atmospheric boundary layer parameters for diffusion applications. J Appl Meteorol Climatol 24:1196–1207. https://doi.org/10.1175/1520-0450(1985)024%3C1196:EOABLP%3E2.0.CO;2
Vanderwende BJ, Lundquist JK (2012) The modification of wind turbine performance by statistically distinct atmospheric regimes. Environ Res Lett 7:034035. https://doi.org/10.1088/1748-9326/7/3/034035
Vanderwende BJ, Lundquist JK, Rhodes ME, Takle ES, Irvin SL (2015) Observing and simulating the summertime low-level jet in central Iowa. Mon Weather Rev 143:2319–2336. https://doi.org/10.1175/MWR-D-14-00325.1
Vollmer L, Steinfeld G, Heinemann D, Kühn M (2016) Estimating the wake deflection downstream of a wind turbine in different atmospheric stabilities: an LES study. Wind Energy Sci 1:129–141. https://doi.org/10.5194/wes-1-129-2016
Wagner R, Jørgensen HE, Paulsen US, Larsen TJ, Antoniou I, Thesbjerg L (2008) Remote sensing used for power curves. IOP Conf Ser Earth Environ Sci 1:012059. https://doi.org/10.1088/1755-1307/1/1/012059
Wagner R, Antoniou I, Pedersen SM, Courtney MS, Jørgensen HE (2009) The influence of the wind speed profile on wind turbine performance measurements. Wind Energy 12:348–362. https://doi.org/10.1002/we.297
Wagner R, Courtney M, Gottschall J, Lindelöw-Marsden P (2011) Accounting for the speed shear in wind turbine power performance measurement: accounting for speed shear in power performance measurement. Wind Energy 14:993–1004. https://doi.org/10.1002/we.509
Wagner R, Coauthors (2014) Rotor equivalent wind speed for power curve measurement – comparative exercise for IEA Wind Annex 32. J Phys Conf Ser 524:012108. https://doi.org/10.1088/1742-6596/524/1/012108
Walter K, Weiss CC, Swift AHP, Chapman J, Kelley ND (2009) Speed and direction shear in the stable nocturnal boundary layer. J Sol Energy Eng 131:011013. https://doi.org/10.1115/ 1.3035818
Wharton S, Lundquist JK (2012a) Atmospheric stability affects wind turbine power collection. Environ Res Lett 7:014005. https://doi.org/10.1088/1748-9326/7/1/014005
Wharton S, Lundquist JK (2012b) Assessing atmospheric stability and its impacts on rotor-disk wind characteristics at an onshore wind-farm. Wind Energy 15:525–546. https://doi.org/ 10.1002/we.483
Whiteman CD, Bian X, Zhong S (1997) Low-level jet climatology from enhanced rawinsonde observations at a site in the southern great plains. J Appl Meteorol 36:1363–1376. https:// doi.org/10.1175/1520-0450(1997)036%3C1363:LLJCFE%3E2.0.CO;2
Wilczak JM, Coauthors (2019) The second wind forecast improvement project (WFIP2): observational field campaign. Bull Am Meteorol Soc 100:1701–1723. https://doi.org/10.1175/BAMS-D-18-0035.1
**e S, Archer CL (2017) A numerical study of wind-turbine wakes for three atmospheric stability conditions. Bound-Layer Meteorol 165:87–112. https://doi.org/10.1007/s10546-017-0259-9
Yeo DH, Simiu E (2010) Database-assisted design for wind: veering effects on high-rise structures. https://www.nist.gov/publications/database-assisted-design-wind-veering-effects-high-rise-structures. Accessed 14 Mar 2021
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The author expresses appreciation to Alex Rybchuk for reviewing a draft version of this chapter.
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Lundquist, J.K. (2022). Wind Shear and Wind Veer Effects on Wind Turbines. In: Stoevesandt, B., Schepers, G., Fuglsang, P., Sun, Y. (eds) Handbook of Wind Energy Aerodynamics. Springer, Cham. https://doi.org/10.1007/978-3-030-31307-4_44
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