Grand challenges in the science of wind energy
Open accessAbstract
A multifaceted future for wind power: Modern wind turbines already represent a tightly optimized confluence of materials science and aerodynamic engineering. Veers et al. review the challenges and opportunities for further expanding this technology, with an emphasis on the need for interdisciplinary collaboration. They highlight the need to better understand atmospheric physics in the regions where taller turbines will operate as well as the materials constraints associated with the scale-up. The mutual interaction of turbine sites with one another and with the evolving features of the overall electricity grid will furthermore necessitate a systems approach to future development. Science , this issue p. eaau2027
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The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423 · see citing works
Spectral characteristics of surface‐layer turbulence
Kaimal, J. C., Wyngaard, J. C., Izumi, Y., et al. (1972) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49709841707 · Cited by 2,449 · see citing works
Kroposki, B., Johnson, B., Zhang, Y. Y. C., Gevorgian, V., Denholm, P. L., Hodge, B. S., & Hannegan, B. (2017) · IEEE Power and Energy Magazine · doi:10.1109/mpe.2016.2637122 · Cited by 1,376 · see citing works
A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems
Molzahn, D. K., Dörfler, F., Sandberg, H., Low, S. H., Chakrabarti, S., Baldick, R., & Lavaei, J. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2720471 · Cited by 1,278 · see citing works
Large eddy simulation study of fully developed wind-turbine array boundary layers
Calaf, M., Meneveau, C., & Meyers, J. (2010) · Physics of Fluids · doi:10.1063/1.3291077 · Cited by 982 · see citing works
Self-citationGlobal energy Transformation: A Roadmap to 2050
Gielen, D. J., Gorini, R., Wagner, N., Leme, R., Gutierrez, L., Prakash, G., Asmelash, E., Janeiro, L., Gallina, G., Vale, G., et al. (2019) · Cited by 966 · see citing works
The spatial structure of neutral atmospheric surface-layer turbulence
Mann, J. (1994) · Journal of Fluid Mechanics · doi:10.1017/s0022112094001886 · Cited by 823 · see citing works
Gebraad, P. M. O., Teeuwisse, F. W., van Wingerden, J. W., et al. (2014) · Wind Energy · doi:10.1002/we.1822 · Cited by 757 · see citing works
Stochastic Optimization for Unit Commitment—A Review
Zheng, Q. P., Wang, J., & Liu, A. L. (2014) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2014.2355204 · Cited by 653 · see citing works
Flow Structure and Turbulence in Wind Farms
Stevens, R. J. A. M., & Meneveau, C. (2016) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-010816-060206 · Cited by 570 · see citing works
Self-citationLocal and Mesoscale Impacts of Wind Farms as Parameterized in a Mesoscale NWP Model
Fitch, A. C., Olson, J. B., Lundquist, J. K., et al. (2012) · Monthly Weather Review · doi:10.1175/mwr-d-11-00352.1 · Cited by 490 · see citing works
Self-citationDynamics of offshore floating wind turbines—model development and verification
Jonkman, J. M. (2009) · Wind Energy · doi:10.1002/we.347 · Cited by 439 · see citing works
Recycling glass fiber thermoplastic composites from wind turbine blades
Cousins, D. S., Suzuki, Y., Murray, R. E., Samaniuk, J. R., & Stebner, A. P. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.10.286 · Cited by 385 · see citing works
The influence of large-scale wind power on global climate
Keith, D. W., DeCarolis, J. F., Denkenberger, D., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0406930101 · Cited by 336 · see citing works
Comparison of Grid Following and Grid Forming Control for a High Inverter Penetration Power System
Pattabiraman, D., Lasseter, R. H., & Jahns, T. M. (2018) · IEEE Power & Energy Society General Meeting (PESGM) · doi:10.1109/pesgm.2018.8586162 · Cited by 303 · see citing works
2010 Wind Technologies Market Report
Wiser, R. H., & Bolinger, M. A. (2011) · doi:10.2172/1018070 · Cited by 283 · see citing works
Self-citationTrends in the Design, Manufacture and Evaluation of Wind Turbine Blades
Veers, P. S., Ashwill, T. D., Sutherland, H. J., et al. (2003) · Wind Energy · doi:10.1002/we.90 · Cited by 273 · see citing works
Self-citationSouthward shift of the global wind energy resource under high carbon dioxide emissions
Karnauskas, K. B., Lundquist, J. K., & Zhang, L. (2017) · Nature Geoscience · doi:10.1038/s41561-017-0029-9 · Cited by 267 · see citing works
Self-citationDesign and operation of power systems with large amounts of wind power
Holttinen, H., Meibom, P., Orths, A., Hulle, F. V., Lange, B., O’Malley, M., Pierik, J. T. G., Ummels, B. C., Tande, J. O., Estanqueiro, A. I., et al. (2009) · doi:10.32040/2242-122x.2019.t350 · Cited by 266 · see citing works
Self-citationLundquist, J. K., Duvivier, K., Kaffine, D., & Tomaszewski, J. (2018) · Nature Energy · doi:10.1038/s41560-018-0281-2 · Cited by 247 · see citing works
Self-citationInvestigating the Impacts of Wind Generation Participation in Interconnection Frequency Response
Gevorgian, V., Zhang, Y. Y. C., & Ela, E. G. (2014) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2014.2343836 · Cited by 242 · see citing works
First in situ evidence of wakes in the far field behind offshore wind farms
Platis, A., Siedersleben, S. K., Bange, J., Lampert, A., Bärfuss, K., Hankers, R., Cañadillas, B., Foreman, R., Schulz-Stellenfleth, J., Djath, B., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-20389-y · Cited by 231 · see citing works
Analysis of wake states by a full‐field actuator disc model
Sørensen, J. N., Shen, W. Z., & Munduate, X. (1998) · Wind Energy · doi:10.1002/(sici)1099-1824(199812)1:2 · Cited by 218 · see citing works
Self-citationInnovation in Wind Turbine Design
Jamieson, P. (2011) · Wiley eBooks · doi:10.1002/9781119975441 · Cited by 210 · see citing works
Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data
Aitken, M. L., Banta, R. M., Pichugina, Y. L., et al. (2014) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/jtech-d-13-00104.1 · Cited by 195 · see citing works
Saturation wind power potential and its implications for wind energy
Jacobson, M. Z., & Archer, C. L. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208993109 · Cited by 194 · see citing works
Rajewski, D. A., Takle, E. S., Lundquist, J. K., et al. (2013) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00240.1 · Cited by 179 · see citing works
Self-citationModel Tests for a Floating Wind Turbine on Three Different Floaters
Koo, B. J., Goupee, A. J., Kimball, R. W., et al. (2014) · Journal of Offshore Mechanics and Arctic Engineering · doi:10.1115/1.4024711 · Cited by 175 · see citing works
Forcing of a bottom-mounted circular cylinder by steep regular water waves at finite depth
Paulsen, B. T., Bredmose, H., Bingham, H. B., et al. (2014) · Journal of Fluid Mechanics · doi:10.1017/jfm.2014.386 · Cited by 175 · see citing works
Complex terrain experiments in the New European Wind Atlas
Mann, J., Angelou, N., Arnqvist, J., et al. (2017) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2016.0101 · Cited by 168 · see citing works
Inter-sectoral effects of high renewable energy share in global energy system
Pursiheimo, E., Holttinen, H., & Koljonen, T. (2019) · Renewable Energy · doi:10.1016/j.renene.2018.09.082 · Cited by 165 · see citing works
Self-citationMesoscale Influences of Wind Farms throughout a Diurnal Cycle
Fitch, A. C., Lundquist, J. K., & Olson, J. B. (2013) · Monthly Weather Review · doi:10.1175/mwr-d-12-00185.1 · Cited by 162 · see citing works
Self-citationPaving the Way: A Future Without Inertia Is Closer Than You Think
Ackermann, T., Prévost, T., Vittal, V., Roscoe, A., Matevosyan, J., & Miller, N. (2017) · IEEE Power and Energy Magazine · doi:10.1109/mpe.2017.2729138 · Cited by 142 · see citing works
A simulation study demonstrating the importance of large-scale trailing vortices in wake steering
Fleming, P., Annoni, J. R., Churchfield, M., et al. (2018) · Wind energy science · doi:10.5194/wes-3-243-2018 · Cited by 142 · see citing works
Review of Methodologies for Offshore Wind Resource Assessment in European Seas
Sempreviva, A. M., Barthelmie, R. J., & Pryor, S. C. (2008) · Surveys in Geophysics · doi:10.1007/s10712-008-9050-2 · Cited by 131 · see citing works
Self-citationThe Explicit Wake Parametrisation V1.0: a wind farm parametrisation in the mesoscale model WRF
Volker, P., Badger, J., Hahmann, A. N., et al. (2015) · Geoscientific model development · doi:10.5194/gmd-8-3715-2015 · Cited by 127 · see citing works
Mesoscale to microscale wind farm flow modeling and evaluation
Rodrigo, J. S., Arroyo, R. A. C., Moriarty, P., et al. (2016) · Wiley Interdisciplinary Reviews Energy and Environment · doi:10.1002/wene.214 · Cited by 120 · see citing works
Self-citation2017 Wind Technologies Market Report
Wiser, R. H., & Bolinger, M. A. (2018) · doi:10.2172/1497759 · Cited by 112 · see citing works
Self-citationRemote Sensing Observation Used in Offshore Wind Energy
Hasager, C. B., Peña, A., Badger, M., et al. (2008) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2008.2002218 · Cited by 109 · see citing works
Model‐based receding horizon control of wind farms for secondary frequency regulation
Shapiro, C. R., Bauweraerts, P., Meyers, J., Meneveau, C., & Gayme, D. F. (2017) · Wind Energy · doi:10.1002/we.2093 · Cited by 106 · see citing works
Self-citationAre global wind power resource estimates overstated?
Adams, A., & Keith, D. W. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/1/015021 · Cited by 104 · see citing works
Big wind power: seven questions for turbulence research
Meneveau, C. (2019) · Journal of Turbulence · doi:10.1080/14685248.2019.1584664 · Cited by 101 · see citing works
Self-citationLee, J., & Lundquist, J. K. (2017) · Geoscientific model development · doi:10.5194/gmd-10-4229-2017 · Cited by 98 · see citing works
Self-citationActive Power Control of Waked Wind Farms
van Wingerden, J., Pao, L. Y., Aho, J., et al. (2017) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2017.08.378 · Cited by 96 · see citing works
Self-citationMicrometeorological impacts of offshore wind farms as seen in observations and simulations
Siedersleben, S., Lundquist, J. K., Platis, A., et al. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aaea0b · Cited by 95 · see citing works
Self-citationHelistö, N., Kiviluoma, J., Holttinen, H., et al. (2019) · Wiley Interdisciplinary Reviews Energy and Environment · doi:10.1002/wene.341 · Cited by 95 · see citing works
Self-citationHan, X., Liu, D., Xu, C., et al. (2018) · Renewable Energy · doi:10.1016/j.renene.2018.03.048 · Cited by 92 · see citing works
Archer, C. L., Colle, B. A., Monache, L. D., et al. (2013) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-13-00108.1 · Cited by 88 · see citing works
Wake behind an offshore wind farm observed with dual-Doppler radars
Nygaard, N. G., & Newcombe, A. (2018) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1037/7/072008 · Cited by 81 · see citing works
Fluid–structure interaction computations for geometrically resolved rotor simulations using CFD
Heinz, J. C., Sørensen, N. N., & Zahle, F. (2016) · Wind Energy · doi:10.1002/we.1976 · Cited by 80 · see citing works
Does the wind turbine wake follow the topography? A multi-lidar study in complex terrain
Menke, R., Vasiljević, N., Hansen, K. S., et al. (2018) · Wind energy science · doi:10.5194/wes-3-681-2018 · Cited by 76 · see citing works
Morató, Á., Sriramula, S., Krishnan, N., et al. (2016) · Renewable Energy · doi:10.1016/j.renene.2016.08.056 · Cited by 74 · see citing works
Alternatives No More: Wind and Solar Power Are Mainstays of a Clean, Reliable, Affordable Grid
Milligan, M. R., Frew, B. A., Kirby, B., et al. (2015) · IEEE Power and Energy Magazine · doi:10.1109/mpe.2015.2462311 · Cited by 70 · see citing works
Full-Scale Field Test of Wake Steering
Fleming, P., Annoni, J. R., Scholbrock, A. K., et al. (2017) · Journal of Physics Conference Series · doi:10.1088/1742-6596/854/1/012013 · Cited by 70 · see citing works
Measuring a Utility-Scale Turbine Wake Using the TTUKa Mobile Research Radars
Hirth, B. D., Schroeder, J. L., Gunter, W. S., et al. (2012) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/jtech-d-12-00039.1 · Cited by 68 · see citing works
Computational fluid dynamics simulation study of active power control in wind plants
Fleming, P., Aho, J., Gebraad, P. M. O., et al. (2016) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2016.7525115 · Cited by 65 · see citing works
WP2 IEA Wind Task 26:The Past and Future Cost of Wind Energy
Lantz, E. J., USDOE Office of Science (SC), Agreement, P. (. I. W. E., et al. (2012) · doi:10.2172/1183175 · Cited by 64 · see citing works
Self-citationGround-level climate at a peatland wind farm in Scotland is affected by wind turbine operation
Armstrong, A., Burton, R. R., Lee, S., Mobbs, S. D., Ostle, N., Smith, V. H., Waldron, S., & Whitaker, J. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/4/044024 · Cited by 62 · see citing works
IEA Wind Task 32: Wind Lidar Identifying and Mitigating Barriers to the Adoption of Wind Lidar
Clifton, A., Clive, P. J. M., Gottschall, J., et al. (2018) · Remote Sensing · doi:10.3390/rs10030406 · Cited by 62 · see citing works
Self-citationWind direction estimation using SCADA data with consensus-based optimization
Annoni, J. R., Bay, C. J., Johnson, K., et al. (2019) · Wind energy science · doi:10.5194/wes-4-355-2019 · Cited by 61 · see citing works
Analyzing the decoupling relationship between marine economic growth and marine pollution in China
Chen, J., Wang, Y., Song, M., et al. (2017) · Ocean Engineering · doi:10.1016/j.oceaneng.2017.03.038 · Cited by 56 · see citing works
Gusts and shear within hurricane eyewalls can exceed offshore wind turbine design standards
Worsnop, R. P., Lundquist, J. K., Bryan, G. H., et al. (2017) · Geophysical Research Letters · doi:10.1002/2017gl073537 · Cited by 55 · see citing works
Self-citationVali, M., Petrović, V., Steinfeld, G., et al. (2019) · Wind energy science · doi:10.5194/wes-4-139-2019 · Cited by 55 · see citing works
Wildmann, N., Vasiljević, N., & Gerz, T. (2018) · Atmospheric measurement techniques · doi:10.5194/amt-11-3801-2018 · Cited by 50 · see citing works
Göransson, L., & Johnsson, F. (2018) · Wind Energy · doi:10.1002/we.2198 · Cited by 48 · see citing works
IEA Wind TCP: Results of IEA Wind TCP Workshop on a Grand Vision for Wind Energy Technology
Dykes, K., Veers, P. S., Lantz, E. J., et al. (2019) · doi:10.2172/1508509 · Cited by 46 · see citing works
Self-citationThe Evolution of the Market: Designing a Market for High Levels of Variable Generation
Ahlstrom, M. L., Ela, E. G., Riesz, J., O’Sullivan, J., Hobbs, B. F., O’Malley, M., Milligan, M. R., Sotkiewicz, P. M., & Caldwell, J. (2015) · IEEE Power and Energy Magazine · doi:10.1109/mpe.2015.2458755 · Cited by 45 · see citing works
Jose, J., Choi, S., Giljarhus, K. E. T., et al. (2017) · Ocean Engineering · doi:10.1016/j.oceaneng.2017.03.045 · Cited by 45 · see citing works
Fundamental aeroelastic properties of a bend–twist coupled blade section
Stäblein, A. R., Hansen, M. H., & Pirrung, G. R. (2016) · Journal of Fluids and Structures · doi:10.1016/j.jfluidstructs.2016.10.010 · Cited by 41 · see citing works
Effects of aeroelastic tailoring on performance characteristics of wind turbine systems
Scott, S., Capuzzi, M., Langston, D., et al. (2017) · Renewable Energy · doi:10.1016/j.renene.2017.06.048 · Cited by 40 · see citing works
Exploring ocean worlds on Earth and beyond
Hand, K. P., & German, C. R. (2017) · Nature Geoscience · doi:10.1038/s41561-017-0045-9 · Cited by 37 · see citing works
Modal properties and stability of bend–twist coupled wind turbine blades
Stäblein, A. R., Hansen, M. H., & Verelst, D. R. (2017) · Wind energy science · doi:10.5194/wes-2-343-2017 · Cited by 36 · see citing works
Latest results from the EU project AVATAR: Aerodynamic modelling of 10 MW wind turbines
Ceyhan, J. G. S. O., Boorsma, K., Gonzalez, A., et al. (2016) · Journal of Physics Conference Series · doi:10.1088/1742-6596/753/2/022017 · Cited by 34 · see citing works
Madsen, H. A., Sørensen, N. N., Bak, C., et al. (2018) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1037/2/022011 · Cited by 34 · see citing works
How can a wind turbine survive in tropical cyclone?
Han, T., McCann, G., Mücke, T., et al. (2014) · Renewable Energy · doi:10.1016/j.renene.2014.02.014 · Cited by 30 · see citing works
Final results from the EU project AVATAR: Aerodynamic modelling of 10 MW wind turbines
Schepers, J. G., Boorsma, K., Sørensen, N. N., et al. (2018) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1037/2/022013 · Cited by 30 · see citing works
Periodic stability analysis of wind turbines operating in turbulent wind conditions
Riva, R., Cacciola, S., & Bottasso, C. L. (2016) · Wind energy science · doi:10.5194/wes-1-177-2016 · Cited by 28 · see citing works
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Donohoo-Vallett, P. (2016) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 28 · see citing works
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Larsén, X. G., Petersen, E. L., & Larsen, S. E. (2018) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.3301 · Cited by 28 · see citing works
Bortolotti, P., Bottasso, C. L., Croce, A., et al. (2018) · Wind Energy · doi:10.1002/we.2270 · Cited by 28 · see citing works
Self-citationvan Kuik, G. A. M., Peinke, J., Nijssen, R., et al. (2016) · Research topics in wind energy · doi:10.1007/978-3-319-46919-5 · Cited by 26 · see citing works
Self-citationData Science: A New Paradigm in the Age of Big-Data Science and Analytics
Concolato, C., & Chen, L. M. (2017) · New Mathematics and Natural Computation · doi:10.1142/s1793005717400038 · Cited by 21 · see citing works
Suja‐Thauvin, L., Krokstad, J. R., & Bachynski, E. E. (2018) · Ocean Engineering · doi:10.1016/j.oceaneng.2018.06.027 · Cited by 20 · see citing works
Natarajan, A. (2014) · Renewable Energy · doi:10.1016/j.renene.2014.02.052 · Cited by 19 · see citing works
Lee, J. A., Hacker, J. P., Monache, L. D., et al. (2016) · Monthly Weather Review · doi:10.1175/mwr-d-16-0063.1 · Cited by 19 · see citing works
Aerodynamic behavior of a floating offshore wind turbine
Lienard, C., Boisard, R., & Daudin, C. (2019) · AIAA SciTech Forum · doi:10.2514/6.2019-1575 · Cited by 18 · see citing works
Haupt, S. E., USDOE, Kotamarthi, R., et al. (2017) · doi:10.2172/1573811 · Cited by 17 · see citing works
Mai, T., Wind and Water Technologies Office (EE-4W) USDOE Office of Energy Efficiency and Renewable Energy (EERE), Lantz, E. J., et al. (2017) · doi:10.2172/1395231 · Cited by 15 · see citing works
Self-citationNational Renewable Energy Lab. (NREL), G., Sprague, M., Wind and Water Technologies Office (EE-4W) USDOE Office of Energy Efficiency and Renewable Energy (EERE), et al. (2017) · doi:10.2172/1338668 · Cited by 14 · see citing works
A Framework for Autonomous Wind Farms: Wind Direction ConsensusPreprint
Annoni, J. R., Bay, C. J., Johnson, K., et al. (2018) · doi:10.5194/wes-2018-60 · Cited by 14 · see citing works
Zhao, X., Zhao, J., Zhang, H., et al. (2018) · Remote Sensing · doi:10.3390/rs10050681 · Cited by 12 · see citing works
Lidar-based closed-loop wake redirection in high-fidelity simulation
Raach, S., Boersma, S., Doekemeijer, B. M., et al. (2018) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1037/3/032016 · Cited by 10 · see citing works
Predictability and Information Theory. Part I: Measures of Predictability
DelSole, T. (2004) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(2004)061
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- Authors
- Veers, P., Dykes, K., Lantz, E., Barth, S., Bottasso, C. L., Carlson, O., Clifton, A., Green, J., Green, P., Holttinen, H., Laird, D., Lehtomäki, V., Lundquist, J. K., Manwell, J., Marquis, M., Meneveau, C., Moriarty, P., Munduate, X., Muskulus, M., Naughton, J., Pao, L., Paquette, J., Peinke, J., Robertson, A., Sanz Rodrigo, J., Sempreviva, A. M., Smith, J. C., Tuohy, A., & Wiser, R.
- Affiliations
- National Laboratory of the Rockies (US)
- Technical University of Denmark (DK)
- ForWind Zentrum für Windenergieforschung (DE)
- Technical University of Munich (DE)
- Chalmers University of Technology (SE)
- University of Stuttgart (DE)
- Recognis Oy, Espoo, Finland.
- Kjeller Vindteknikk Oy, Espoo, Finland.
- University of Massachusetts Amherst (US)
- National Oceanic and Atmospheric Administration (US)
- Johns Hopkins University (US)
- National Renewable Energy Centre (ES)
- Norwegian University of Science and Technology (NO)
- University of Wyoming (US)
- University of Colorado Boulder (US)
- Sandia National Laboratories (US)
- Carl von Ossietzky Universität Oldenburg (DE)
- National Renewable Energy Center of Spain, Navarre, Spain.
- Energy Systems Integration Group, Reston, VA, USA.
- Electric Power Research Institute (US)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Veers, Paul
- Dykes, Katherine
- Lantz, Eric
- ORCID
- Veers, Paul
- Dykes, Katherine
- Lantz, Eric
- Barth, Stephan
- Bottasso, Carlo L.
- Carlson, Ola
- Clifton, Andrew
- Green, Johney
- Green, Peter
- Holttinen, Hannele
- Lundquist, Julie K.
- Manwell, James
- Marquis, Melinda
- Meneveau, Charles
- Moriarty, Patrick
- Munduate, Xabier
- Muskulus, Michael
- Naughton, Jonathan
- Pao, Lucy
- Peinke, Joachim
- Robertson, Amy
- Sanz Rodrigo, Javier
- Sempreviva, Anna Maria
- Smith, J. Charles
- Tuohy, Aidan
- Wiser, Ryan
- Venue
- Science
- Published
- 2019-10-25
- Volume
- 366
- Issue
- 6464
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2979841977
- Cited by
- 1,242
- References
- 93
- Citations by year
- 2026: 196 · 2025: 183 · 2024: 220 · 2023: 218 · 2022: 225 · 2021: 142 · 2020: 58
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- green
- escholarship.org
- Licence
- cc-by-nc-nd
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- CU Scholar (University of Colorado Boulder) (submittedVersion)
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
- NOAA Institutional Repository (submittedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Funders
- U.S. Department of Energy (DE -AC36-08GO28308, 08GO28308, Contract No. DE-AC36-08GO28308, AC36‐08GO28308)
- U.S. Department of Commerce
- National Oceanic and Atmospheric Administration
- Office of Energy Efficiency and Renewable Energy (DE-AC36-08-GO28308., AC36-08-GO28308)
- Office of Energy Efficiency
- National Renewable Energy Laboratory (DE-AC36-08-GO28308, AC36-08GO28308)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Wind Energy Research and Development
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wind Turbine Control Systems
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Keywords
- wind energy, societal challenges, atmospheric boundary layer, wind turbine wakes, rotating machinery, wind turbine design, wind farm control, grid integration of wind power
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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