1. 南京航空航天大学 江苏省风力机设计高技术研究重点实验室,南京,210016
2. 南京理工大学 新能源学院,江阴,214443
王同光*(1962-),男,山东蓬莱人,教授,研究方向:风力机空气动力学. E-mail:tgwang@nuaa.edu.cn
纸质出版:2022
移动端阅览
王同光, 田琳琳, 钟伟, 等. 风能利用中的空气动力学研究进展Ⅰ:风力机气动特性[J]. 空气动力学学报, 2022, 40(4): 1−21.
WANG Tongguang, TIAN Linlin, ZHONG Wei, et al. Aerodynamic research progress in wind energy Ⅰ: Wind turbine aerodynamic characteristics[J]. 2022, 40(4): 1-21.
王同光, 田琳琳, 钟伟, 等. 风能利用中的空气动力学研究进展Ⅰ:风力机气动特性[J]. 空气动力学学报, 2022, 40(4): 1−21. DOI: 10.7638/kqdlxxb-2021.0114
WANG Tongguang, TIAN Linlin, ZHONG Wei, et al. Aerodynamic research progress in wind energy Ⅰ: Wind turbine aerodynamic characteristics[J]. 2022, 40(4): 1-21. DOI: 10.7638/kqdlxxb-2021.0114.
随着世界各国纲领性行业政策的积极制定,风电行业将继续高速发展。风电机组大型化(达到多兆瓦级甚至十兆瓦级)、海洋化(从陆地扩展至海上)、智能化(辅以智能化结构、材料和控制策略)、数字化(精准预测和实时感知调控)是风电发展的大趋势。空气动力学研究作为风力机技术研发的首要任务,由此将面临一系列新的问题和挑战。本文以水平轴风力机为研究对象,就其风能利用中的空气动力学问题进行探讨,本篇为第一部分“风力机气动特性”。首先分析其空气动力学问题的复杂性及原因;然后,针对风力机专用翼型的气动特性、风力机气动特性、现代化风力机设计(特别是海上风电技术、台风问题、大叶片气弹问题)与流动控制等关键空气动力学问题,从理论分析、数值计算、风洞实验和外场测量等多种研究手段与技术着手,对其研究现状及取得的关键进展进行综述和讨论;最后对今后的研究方向进行分析与展望,为大尺寸风力机叶片设计提供参考。
With the establishment of national policies around the world
the development of wind industry has been entering its heyday. Wind turbine systems are continuously upsized from megawatt level to multi-megawatt class
deployed for both onshore wind power and offshore wind power in diverse sea conditions
intelligentized with smart materials
structures and control strategies
and digitized with precise prediction and state-aware control system. These mainstream trends for wind energy development
in the meanwhile
raise tremendous challenging issues for wind energy research and development. Among them
wind turbine aerodynamics will face new problems and great challenges. As the first review of a sucessive work
this study is mainly focused on the aerodynamics of horizontal-axis wind turbines. An explanation for the aerodynamic complexity is addressed at first. Then
research progress on key aerodynamics issues
such as the aerodynamic characteristics of wind turbine airfoils and blades
as well as modern wind turbine design (special focus is put on the offshore wind power technology and the inevitable typhoon phenomenon
together with the experienced aeroelastic problem caused by the increasement in wind turbine size) and new flow control strategies are discussed. In this process
recent theoretical
experimental
and numerical studies that have contributed to improve our understanding of wind turbine aerodynamic performance
such as aerodynamic forces
flow fields and flow mechanism
are summarized. Additionally
the strength and limitation of these research approaches are discussed. Possible future research trend is analyzed and prospected
providing some references for large-scale wind turbine blade design.
LI Z W, HE D X. Reviews of fluid dynamics researches in wind energy engineering[J]. Advances in Mechanics, 2013, 43(5): 472-525. (in Chinese)
王同光. 风力机空气动力学面临的挑战[C]//第五届全国风能技术应用年会论文集. 中国空气动力学会, 2008: 59-68.
王同光, 钟伟, 钱耀如. 风力机空气动力性能计算方法[M]. 北京: 科学出版社, 2019.
ZHU C Y. Three-dimensional rotational and dynamic stall of horizontal axis wind turbine blades[D]. Nanjing University of Aeronautics and Astronautics, 2020.
WANG L, LIU X W, KOLIOS A. State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling[J]. Renewable and Sustainable Energy Reviews, 2016, 64: 195-210. DOI:10.1016/j.rser.2016.06.007
孙振业. 大型海上风力机叶片气动与结构设计研究[D]. 重庆: 重庆大学, 2017.
TIMMER W A, BAK C. 4-Aerodynamic characteristics of wind turbine blade airfoils[M]//BRøNDSTED P, NIJSSEN R P L. Advances in wind turbine blade design and materials. Woodhead Publishing, 2013: 109-149. doi: 10.1533/9780857097286.1.109
LI Z W, CHEN J, CHEN B, et al. Design of advanced airfoil families for wind turbines[J]. Acta Aerodynamica Sinica, 2012, 30(1): 130-136. (in Chinese)
VAN ROOIJ R. Modification of the boundary layer in XFOIL for improved airfoil stall prediction[R]. IW-96087R. The Netherlands: Delft University of Technology, 1996.
LI X X, YANG K, ZHANG L, et al. Design of large thickness airfoil with blunt trailing edge[J]. Journal of Engineering Thermophysics, 2014, 35(9): 1744-1748. (in Chinese)
WANG Q, LI D S. A new airfoil design method for wind turbine to improve maximum lift of airfoil[J]. Wind Engineering, 2021: 0309524X2098442. doi:10.1177/0309524x20984428
WU J H. Large-scale wind turbine blade and airfoil optimization design[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2012 (in Chinese).
BAKER J P, MAYDA E A, VAN DAM C P. Experimental analysis of thick blunt trailing-edge wind turbine airfoils[J]. Journal of Solar Energy Engineering, 2006, 128(4): 422-431. DOI:10.1115/1.2346701
PAPADAKIS G, MANOLESOS M, DIAKAKIS K, et al. DES vs RANS: The flatback airfoil case[J]. Journal of Physics: Conference Series, 2020, 1618: 052062. DOI:10.1088/1742-6596/1618/5/052062
LYU W C, WANG J W, DUAN Y F, et al. Effects of airfoil concave change on rotating noise of wind turbine[J]. Journal of Vibration and Shock, 2021, 40(1): 45-51, 85. (in Chinese)
QIAO C L, XU H Y, YE Z Y. Circulation control on wind turbine airfoil with blunt trailing edge[J]. Chinese Journal of Theoretical and Applied Mechanics, 2019, 51(1): 135-145. (in Chinese)
MILLER M, LEE SLEW K, MATIDA E. The development of a flatback wind turbine airfoil family[J]. Wind Energy, 2018, 21(12): 1372-1382. DOI:10.1002/we.2260
LI X X, ZHANG L, SONG J J, et al. Airfoil design for large horizontal axis wind turbines in low wind speed regions[J]. Renewable Energy, 2020, 145: 2345-2357. DOI:10.1016/j.renene.2019.07.163
WU W, YANG K, ZHANG L, et al. Structure analysis of 6 MW wind turbine blade with large thickness and blunt trailing edge[J]. Journal of Engineering Thermophysics, 2013, 34(6): 1074-1078. (in Chinese)
WEN H, SANG S, QIU C H, et al. A new optimization method of wind turbine airfoil performance based on Bessel equation and GABP artificial neural network[J]. Energy, 2019, 187: 116106. DOI:10.1016/j.energy.2019.116106
PIRES O, MUNDUATE X, CEYHAN O, et al. Analysis of high Reynolds numbers effects on a wind turbine airfoil using 2D wind tunnel test data[J]. Journal of Physics: Conference Series, 2016, 753: 022047. DOI:10.1088/1742-6596/753/2/022047
乔志德. 先进翼型设计技术及应用研究进展[C]//中国风能发展战略论坛. 北京: 中国工程院, 中国可再生能源学会. 2006: 206-214.
HAN Z H, SONG W P, GAO Y W. Design and wind-tunnel verification of large-size wind turbine airfoils[J]. Applied Mathematics and Mechanics, 2013, 34(10): 1012-1027. (in Chinese)
LIU J, ZHU W Q, XIAO Z X, et al. DDES with adaptive coefficient for stalled flows past a wind turbine airfoil[J]. Energy, 2018, 161: 846-858. DOI:10.1016/j.energy.2018.07.176
SOLÍS-GALLEGO I, MEANA-FERNÁNDEZ A, FERNÁNDEZ ORO J M, et al. LES-based numerical prediction of the trailing edge noise in a small wind turbine airfoil at different angles of attack[J]. Renewable Energy, 2018, 120: 241-254. DOI:10.1016/j.renene.2017.12.082
HOU Y Z, SONG W P, ZHANG K. Calculation of aerodynamic performance of wind turbine airfoil incorporating transition prediction[J]. Acta Aerodynamica Sinica, 2010, 28(2): 234-237. (in Chinese)
CHEN J, SUN Z Y, XIE Y, et al. Γ-Reθ transition model in numerical simulation of airfoil for wind turbine[J]. Journal of Harbin Engineering University, 2015, 36(2): 218-221. (in Chinese)
CUI W Y, XIAO Z X, YUAN X J. Simulations of transition and separation past a wind-turbine airfoil near stall[J]. Energy, 2020, 205: 118003. DOI:10.1016/j.energy.2020.118003
BAI C J, WANG W C. Review of computational and experimental approaches to analysis of aerodynamic performance in horizontal-axis wind turbines (HAWTs)[J]. Renewable and Sustainable Energy Reviews, 2016, 63: 506-519. DOI:10.1016/j.rser.2016.05.078
LI G Q, ZHANG W G, CHEN L, et al. Research on dynamic test technology for wind turbine blade airfoil[J]. Chinese Journal of Theoretical and Applied Mechanics, 2018, 50(4): 751-765. (in Chinese)
LI G Q, HUANG X, JIANG Y B, et al. An experimental study of the dynamic aerodynamic characteristics of a yaw-oscillating wind turbine airfoil[J]. Physics of Fluids, 2019, 31(6): 067102. DOI:10.1063/1.5088854
LANZAFAME R, MESSINA M. Fluid dynamics wind turbine design: Critical analysis, optimization and application of BEM theory[J]. Renewable Energy, 2007, 32(14): 2291-2305. DOI:10.1016/j.renene.2006.12.010
LIU S, JANAJREH I. Development and application of an improved blade element momentum method model on horizontal axis wind turbines[J]. International Journal of Energy and Environmental Engineering, 2012, 3(1): 1-10. DOI:10.1186/2251-6832-3-30
AGEZE M B, HU Y F, WU H C. Wind turbine aeroelastic modeling: basics and cutting edge trends[J]. International Journal of Aerospace Engineering, 2017, 2017: 1-15. DOI:10.1155/2017/5263897
WANG L, WANG T G. Wind turbine design and its aerodynamic issues[J]. SCIENTIA SINICA Physica, Mechanica Astronomica, 2013, 43(12): 1579-1588. (in Chinese)
ZHONG W, SHEN W Z, WANG T, et al. A tip loss correction model for wind turbine aerodynamic performance prediction[J]. Renewable Energy, 2020, 147: 223-238. DOI:10.1016/j.renene.2019.08.125
GLAUERT H. Airplane propellers[M]//DURAND W F, ed. Aerodynamic Theory. Springer, Berlin, Heidelberg: 169-360. doi: 10.1007/978-3-642-91487-4_3
SHEN W Z, MIKKELSEN R, SØRENSEN J, et al. Tip loss corrections for wind turbine computations[J]. Wind Energy, 2005, 8(4): 457-475.https://onlinelibrary.wiley.com/doi/epdf/10.1002/we.153 DOI:10.1002/WE.153
WIMSHURST A, WILLDEN R H J. Analysis of a tip correction factor for horizontal axis turbines[J]. Wind Energy, 2017, 20(9): 1515-1528. DOI:10.1002/we.2106
SCHMITZ S, MANIACI D C. Methodology to determine a tip-loss factor for highly loaded wind turbines[J]. AIAA Journal, 2017, 55(2): 341-351. DOI:10.2514/1.j055112
DU Z H, SELIG M. A 3-D stall-delay model for horizontal axis wind turbine performance prediction[C]// 1998 ASME Wind Energy Symposium, Reno, NV. Reston, Virginia: AIAA. AIAA 98-16846. doi: 10.2514/6.1998-21
HIMMELSKAMP H. Profile investigations on a rotating airscrew[D]. Germany: Gottingen University, 1945.
SNEL H, HOUWINK R, BOSSCHERS J. Sectional prediction of lift coefficients on rotating wind turbine blades in stall[R]. ECN-C-93-052. Netherlands: Energy Research Center of the Netherlands, 1994.
LEE H M, WU Y H. An experimental study of stall delay on the blade of a horizontal-axis wind turbine using tomographic particle image velocimetry[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2013, 123: 56-68. DOI:10.1016/j.jweia.2013.10.005
ZHU C Y, CHEN J, WU J H, et al. Dynamic stall control of the wind turbine airfoil via single-row and double-row passive vortex generators[J]. Energy, 2019, 189: 116272. DOI:10.1016/j.energy.2019.116272
SCHEPERS J G, BOORSMA K, CHO T, et al. Final report of IEA wind task 29: Mexnext (Phase 2)[R]. Energy research Centre of the Netherlands, 2014.
RAMSAY R F, HOFFMAN M J, GREGOREK G M. Effects of grit roughness and pitch oscillations on the S809 airfoil[R]. NREL/TP-442-7817, 1995. https://www.osti.gov/servlets/purl/205563 doi: 10.2172/205563
SHENG W N, GALBRAITH R A M, COTON F N. On the S809 airfoil's unsteady aerodynamic characteristics[J]. Wind Energy, 2009, 12(8): 752-767. DOI:10.1002/we.331
DISOTELL K J, NIKOUEEYAN P, NAUGHTON J W, et al. Global surface pressure measurements of static and dynamic stall on a wind turbine airfoil at low Reynolds number[J]. Experiments in Fluids, 2016, 57(5): 1-15. DOI:10.1007/s00348-016-2175-z
PEREIRA R, SCHEPERS G, PAVEL M D. Validation of the Beddoes-Leishman dynamic stall model for horizontal axis wind turbines using MEXICO data[J]. Wind Energy, 2013, 16(2): 207-219. DOI:10.1002/we.541
PROSPATHOPOULOS J M, RIZIOTIS V A, SCHWARZ E, et al. Simulation of oscillating trailing edge flaps on wind turbine blades using ranging fidelity tools[J]. Wind Energy, 2021, 24(4): 357-378. DOI:10.1002/we.2578
DUMITRESCU H, CARDOS V. Wind turbine aerodynamic performance by lifting line method[J]. International Journal of Rotating Machinery, 1998, 4(3): 141-149. DOI:10.1155/s1023621x98000128
WANG T G. Unsteady aerodynamic modelling of horizontal axis wind turbine performance[D]. University of Glasgow, 1999.http://theses.gla.ac.uk/4039/1/1999WangPhD.pdf
COTON F N, WANG T. The prediction of horizontal axis wind turbine performance in yawed flow using an unsteady prescribed wake model[J]. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 1999, 213(1): 33-43. DOI:10.1243/0957650991537419
WANG T G, COTON F N. A high resolution tower shadow model for downwind wind turbines[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2001, 89(10): 873-892. DOI:10.1016/S0167-6105(01)00072-1
WANG T, COTON F N. Prediction of the unsteady aerodynamic characteristics of horizontal axis wind turbines including three-dimensional effects[J]. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2000, 214(5): 385-400. DOI:10.1243/0957650001537958
XU B F, LIU B B, CAI X, et al. Accuracy of the aerodynamic performance of wind turbines using vortex core models in the free vortex wake method[J]. Journal of Renewable and Sustainable Energy, 2019, 11(5): 053307. DOI:10.1063/1.5121419
SHEN X, HU P, CHEN J G, et al. The unsteady aerodynamics of floating wind turbine under platform pitch motion[J]. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2018, 232(8): 1019-1036. DOI:10.1177/0957650918766606
RODRIGUEZ S N, JAWORSKI J W. Strongly-coupled aeroelastic free-vortex wake framework for floating offshore wind turbine rotors. Part 2: Application[J]. Renewable Energy, 2020, 149: 1018-1031. DOI:10.1016/j.renene.2019.10.094
LEE H, LEE D J. Numerical investigation of the aerodynamics and wake structures of horizontal axis wind turbines by using nonlinear vortex lattice method[J]. Renewable Energy, 2019, 132: 1121-1133. DOI:10.1016/j.renene.2018.08.087
GRECO L, TESTA C. Wind turbine unsteady aerodynamics and performance by a free-wake panel method[J]. Renewable Energy, 2021, 164: 444-459. DOI:10.1016/j.renene.2020.08.002
LIU Z Y, WANG X D, KANG S. Stochastic performance evaluation of horizontal axis wind turbine blades using non-deterministic CFD simulations[J]. Energy, 2014, 73: 126-136. DOI:10.1016/j.energy.2014.05.107
YANG X S, ZHAO N, TIAN L L. Numerical simulation OF wind turbine wake based ON improved k-ω sst model[J]. Acta Energiae Solaris Sinica, 2017, 38(4): 920-927. (in Chinese)
YAN C, QU F, ZHAO Y T, et al. Review of development and challenges for physical modeling and numerical scheme of CFD in aeronautics and astronautics[J]. Acta Aerodynamica Sinica, 2020, 38(5): 829-857. (in Chinese)
ZHANG R K, WU V D J Z. Aerodynamic characteristics of wind turbine blades with a sinusoidal leading edge[J]. Wind Energy, 2012, 15(3): 407-424. DOI:10.1002/we.479
MOSHFEGHI M, SONG Y J, XIE Y H. Effects of near-wall grid spacing on SST-K-ω model using NREL Phase VI horizontal axis wind turbine[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2012, 107-108: 94-105. DOI:10.1016/j.jweia.2012.03.032
MUIRURI P I, MOTSAMAI O S, NDEDA R. A comparative study of RANS-based turbulence models for an upscale wind turbine blade[J]. SN Applied Sciences, 2019, 1(3): 1-15. DOI:10.1007/s42452-019-0254-5
KHLAIFAT N, ALTAEE A, ZHOU J, et al. A review of the key sensitive parameters on the aerodynamic performance of a horizontal wind turbine using Computational Fluid Dynamics modelling[J]. AIMS Energy, 2020, 8(3): 493-524. DOI:10.3934/energy.2020.3.493
ABDELSALAM A M, RAMALINGAM V. Wake prediction of horizontal-axis wind turbine using full-rotor modeling[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2014, 124: 7-19. DOI:10.1016/j.jweia.2013.11.005
ZHONG W, TANG H W, WANG T G, et al. Accurate RANS simulation of wind turbine stall by turbulence coefficient calibration[J]. Applied Sciences, 2018, 8(9): 1444. DOI:10.3390/app8091444
LI H R, ZHANG Y F, CHEN H X. Aerodynamic prediction of iced airfoils based on modified three-equation turbulence model[J]. AIAA Journal, 2020, 58(9): 3863-3876. DOI:10.2514/1.J059206
XU H Y, QIAO C L, YANG H Q, et al. Delayed detached eddy simulation of the wind turbine airfoil S809 for angles of attack up to 90 degrees[J]. Energy, 2017, 118: 1090-1109. DOI:10.1016/j.energy.2016.10.131
QIAN Y R, WANG T G, YUAN Y P, et al. Comparative study on wind turbine wakes using a modified partially-averaged Navier-Stokes method and large eddy simulation[J]. Energy, 2020, 206: 118147. DOI:10.1016/j.energy.2020.118147
RASAM A, POURANSARI Z, BOLIN K, et al. Detached-eddy simulation of a horizontal axis wind turbine[M]//Progress in Hybrid RANS-LES Modelling, 2018: 357-367. doi: 10.1007/978-3-319-70031-1_30
REN N X, OU J P. Aerodynamic interference effect between large wind turbine blade and tower[M]//Computational Structural Engineering, 2009: 489-495. doi: 10.1007/978-90-481-2822-8_54
QIAN Y R. Numerical study on unsteady characteristics of wind turbine aerodynamics and wake[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2018 (in Chinese).
LI G Q, YI S H. Large eddy simulation of dynamic stall flow control for wind turbine airfoil using plasma actuator[J]. Energy, 2020, 212: 118753. DOI:10.1016/j.energy.2020.118753
LUO K, ZHANG S X, GAO Z Y, et al. Large-eddy simulation and wind-tunnel measurement of aerodynamics and aeroacoustics of a horizontal-axis wind turbine[J]. Renewable Energy, 2015, 77: 351-362. DOI:10.1016/j.renene.2014.12.024
WASALA S H, STOREY R C, NORRIS S E, et al. Aeroacoustic noise prediction for wind turbines using Large Eddy Simulation[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2015, 145: 17-29. DOI:10.1016/j.jweia.2015.05.011
SCHEPERS J G, SCHRECK S J. Aerodynamic measurements on wind turbines[J]. Wiley Interdisciplinary Reviews: Energy and Environment, 2019, 8(1): e320. DOI:10.1002/wene.320
ESFAHANIAN V, SALAVATI POUR A, HARSINI I, et al. Numerical analysis of flow field around NREL Phase II wind turbine by a hybrid CFD/BEM method[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2013, 120: 29-36. DOI:10.1016/j.jweia.2013.06.006
YANG H, SHEN W Z, XU H R, et al. Prediction of the wind turbine performance by using BEM with airfoil data extracted from CFD[J]. Renewable Energy, 2014, 70: 107-115. DOI:10.1016/j.renene.2014.05.002
TORREGROSA A J, GIL A, QUINTERO P, et al. Enhanced design methodology of a low power stall regulated wind turbine. BEMT and MRF-RANS combination and comparison with existing designs[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 190: 230-244. DOI:10.1016/j.jweia.2019.04.019
LOMBARDI N, ORDONEZ-SANCHEZ S, ZANFORLIN S, et al. A hybrid BEM-CFD virtual blade model to predict interactions between tidal stream turbines under wave conditions[J]. Journal of Marine Science and Engineering, 2020, 8(12): 969. DOI:10.3390/jmse8120969
SCHEPERS J G, BRAND A, MADSEN H. Final report of IEA Annex XVIII: Enhanced field rotor aerodynamics database[R]. ECN-C-02-016, 2002.
SCHEPERS J G, BRAND A, BRUINING A, et al. , Final Report of IEA Annex XIV: Field Rotor Aerodynamics[R]. ECN-C-97-027, 1997.
SCHAFFARCZYK A P, SCHWAB D, BREUER M. Experimental detection of laminar-turbulent transition on a rotating wind turbine blade in the free atmosphere[J]. Wind Energy, 2017, 20(2): 211-220. DOI:10.1002/we.2001
BANGGA G, LUTZ T. Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data[J]. Energy, 2021, 223: 120076. DOI:10.1016/j.energy.2021.120076
HAND M M, SIMMS D A, FINGERSH L J, et al. Unsteady aerodynamics experiment phase VI: wind tunnel test configurations and available data campaigns[R]. NREL/TP-500-29955, 2001. https://www.nrel.gov/docs/fy02osti/29955.pdf doi:10.2172/15000240
SCHEPERS JG, BOORSMA K, CHO T, et al. Final report of IEA Task 29, Mexnext (phase 1): analysis of MEXICO wind tunnel measurements [R]. ECN-E–12-004, 2012.
AHMED I, TEICH M, LAWERENZ M. 3D RANS Simulation of NREL Phase-VI and MEXICO Wind Turbines [C]. 17th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery (ISROMAC2017), Dec 2017, Maui, United States.
MONTEIRO J P, SILVESTRE M R, PIGGOTT H, et al. Wind tunnel testing of a horizontal axis wind turbine rotor and comparison with simulations from two Blade Element Momentum codes[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2013, 123: 99-106. DOI:10.1016/j.jweia.2013.09.008
LI S N, CARACOGLIA L. Experimental error examination and its effects on the aerodynamic properties of wind turbine blades[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 206: 104357. DOI:10.1016/j.jweia.2020.104357
WANG H. Investigation on Wind Speed Field Model and Wind-induced Effects on Offshore Wind Turbine under Severe Typhoon[D]. Nanjing University of Aeronautics and Astronautics, 2020 (in Chinese).
ZHANG W G, SHI Z Y, LI G Q, et al. Numerical study on dynamic stall flow control for wind turbine airfoil using plasma actuator[J]. Chinese Journal of Theoretical and Applied Mechanics, 2020, 52(6): 1678-1689. (in Chinese)
张佳丽, 李少彦. 海上风电产业现状及未来发展趋势展望[J]. 风能, 2018(10): 48-52.
许移庆, 张友林. 漂浮式海上风电发展概述[J]. 风能, 2020(5): 56-61.
VEERS P, DYKES K, LANTZ E, et al. Grand challenges in the science of wind energy. Science[J]. Science, 2019, 366(6464): eaau2027.https://www.science.org/doi/pdf/10.1126/science.aau2027 DOI: 10.1126/science.aau2027
ROTUNNO R, CHEN Y, WANG W, et al. Large-eddy simulation of an idealized tropical cyclone[J]. Bulletin of the American Meteorological Society, 2009, 90(12): 1783-1788. DOI:10.1175/2009bams2884.1
ULMER F G, BALSS U. Spin-up time research on the weather research and forecasting model for atmospheric delay mitigations of electromagnetic waves[J]. Journal of Applied Remote Sensing, 2016, 10(1): 016027. DOI:10.1117/1.jrs.10.016027
LI J X, BAO Q, LIU Y M, et al. Effect of horizontal resolution on the simulation of tropical cyclones in the Chinese academy of sciences FGOALS-f3 climate system model[J]. Geoscientific Model Development, 2021, 14(10): 6113. https://gmd.copernicus.org/articles/14/6113/2021/gmd-14-6113-2021.pdf doi: 10.5194/gmd-14-6113-2021
JU S H, HSU H H, HSIAO T Y. Three-dimensional wind fields of tropical cyclones for wind turbine structures[J]. Ocean Engineering, 2021, 237: 109437. DOI:10.1016/j.oceaneng.2021.109437
CHEN Y S, WU D, YU Y G, et al. Do cyclone impacts really matter for the long-term performance of an offshore wind turbine? [J]. Renewable Energy, 2021, 178: 184-201. DOI:10.1016/j.renene.2021.06.044
HAN T, MCCANN G, MÜCKE T A, et al. How can a wind turbine survive in tropical cyclone? [J]. Renewable Energy, 2014, 70: 3-10. DOI:10.1016/j.renene.2014.02.014
TANG D, XU M, MAO J F, et al. Unsteady performances of a parked large-scale wind turbine in the typhoon activity zones[J]. Renewable Energy, 2020, 149: 617-630. DOI:10.1016/j.renene.2019.12.042
SHENG C, HONG H P. Reliability and fragility assessment of offshore floating wind turbine subjected to tropical cyclone hazard[J]. Structural Safety, 2021, 93: 102138. DOI:10.1016/j.strusafe.2021.102138
KAMINSKI M, NOYES C, LOTH E, et al. Gravo-aeroelastic scaling of a 13-MW downwind rotor for 20% scale blades[J]. Wind Energy, 2021, 24(3): 229-245. DOI:10.1002/we.2569
HODGES D H. Geometrically exact, intrinsic theory for dynamics of curved and twisted anisotropic beams[J]. AIAA Journal, 2003, 41(6): 1131-1137. DOI:10.2514/2.2054
LI Z W, WEN B R, DONG X J, et al. Aerodynamic and aeroelastic characteristics of flexible wind turbine blades under periodic unsteady inflows[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 197: 104057. DOI:10.1016/j.jweia.2019.104057
AUBRUN S, LEROY A, DEVINANT P. A review of wind turbine-oriented active flow control strategies[J]. Experiments in Fluids, 2017, 58(10): 1-21. DOI:10.1007/s00348-017-2412-0
HAO W X, LI C, LIU Q S, et al. Review of aerodynamic load reduction and flow separation control technology for wind turbine blades[J]. Journal of Engineering for Thermal Energy and Power, 2019, 34(9): 1-13. (in Chinese)
MOHAMED GAD-EL-HAK. Flow control: Passive, active, and reactive flow management[M]. Cambridge: Cambridge University Press, 2000. ISBN-13: 978-0521770064
TROSHIN V, SEIFERT A. Performance recovery of a thick turbulent airfoil using a distributed closed-loop flow control system[J]. Experiments in Fluids, 2013, 54(1): 1-19. DOI:10.1007/s00348-012-1443-9
COONEY J A, SZLATENYI C, FINE N E. The development and demonstration of a plasma flow control system on a 20 kW wind turbine[C]// 54th AIAA Aerospace Sciences Meeting, San Diego, California, USA. Reston, Virginia: AIAA, 2016 doi: 10.2514/6.2016-1302
HAO W X, LI C, DING Q W, et al. Numerical study on flow separation control of adaptive flap[J]. Proceedings of the CSEE, 2019, 39(2): 536-542, 650. (in Chinese)
SEDIGHI H, AKBARZADEH P, SALAVATIPOUR A. Aerodynamic performance enhancement of horizontal axis wind turbines by dimples on blades: Numerical investigation[J]. Energy, 2020, 195: 117056. DOI:10.1016/j.energy.2020.117056
ZHUANG C, YANG G, ZHU Y W, et al. Effect of morphed trailing-edge flap on aerodynamic load control for a wind turbine blade section[J]. Renewable Energy, 2020, 148: 964-974. DOI:10.1016/j.renene.2019.10.082
PEREZ-BECKER S, MARTEN D, PASCHEREIT C O. Active flap control with the trailing edge flap hinge moment as a sensor: using it to estimate local blade inflow conditions and to reduce extreme blade loads and deflections[J]. Wind Energy Science, 2021, 6(3): 791-814. DOI:10.5194/wes-6-791-2021
BARTHOLOMAY S, WESTER T T B, PEREZ-BECKER S, et al. Pressure-based lift estimation and its application to feedforward load control employing trailing-edge flaps[J]. Wind Energy Science, 2021, 6(1): 221-245. DOI:10.5194/wes-6-221-2021
GOMEZ GONZALEZ A, ENEVOLDSEN P B, BARLAS A, et al. Field test of an active flap system on a full-scale wind turbine[J]. Wind Energy Science, 2021, 6(1): 33-43. DOI:10.5194/wes-6-33-2021
YANG Y, ZENG P, LEI L P. Concept and development of novel blade structure of large horizontal-axis wind turbine[J]. Engineering Mechanics, 2019, 36(10): 1-7. (in Chinese)
ZHANG Y N, CAO H J, ZHANG M M. Investigation of leading-edge protuberances for the performance improvement of thick wind turbine airfoil1[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2021, 217: 104736. DOI:10.1016/j.jweia.2021.104736
ZHONG J W, LI J Y. Aerodynamic performance prediction of NREL phase VI blade adopting biplane airfoil[J]. Energy, 2020, 206: 118182. DOI:10.1016/j.energy.2020.118182
MOMENI F, SABZPOUSHAN S, VALIZADEH R, et al. Plant leaf-mimetic smart wind turbine blades by 4D printing[J]. Renewable Energy. 2019, 130: 329-351. DOI: 10.1016/j.renene.2018.05.095
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621