A review of challenges in assessment and forecasting of wind energy resources

Hrvatski Meteoroloski Casopis

Volumn 47, Issue 47, 2012, Pages 13-33

  Koracin, Darko ^a,f   Belu, Radian ^b   Canadillas, Beatriz ^c   Horvath, Kristian ^d   Vellore, Ramesh ^e   Smith, Craig ^a   Jiang, Jinhua ^a   McCord, Travis ^a  

^a DESERT RESEARCH INSTITUTE   (United States)

^b DREXEL UNIVERSITY   (United States)

^c Deutsches Windenergie Institut (DEWI)   (Germany)

^d METEOROLOGICAL AND HYDROLOGICAL SERVICE   (Croatia)

^e INDIAN INSTITUTE OF TROPICAL METEOROLOGY   (India)

^f UNIVERSITY OF SPLIT   (Croatia)

Author keywords

CFD; Climate predictions; Energy storage; LES; Mesoscale modeling; Turbulence intensity; Wind energy; Wind farms; Wind power density; Wind turbine wakes

Indexed keywords

EID: 84894229311     PISSN: 13300083     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (147)

1. Ackermann, T., L. Soder, 2000: Wind energy technology and current status: a review, Renew. Sustain. Energy Rev., 4(4), 315-374.
2. Ackermann, T., L. Soder, 2002: An overview of wind energy-status 2002, Renew. Sustain. Energy Rev., 6(1-2), 67-127.
3. Ackermann, T. (Ed), 2005: Wind Power in Power Systems, Wiley, England, 2005.
4. ALADIN International Team, (1997) The ALADIN project: Mesoscale modelling seen as a basic tool for weather forecasting and atmospheric research. WMO Bull ., 46, 317-324.
5. Amjady N., F. Keynia, H. Zareipour, 2011: Short-term wind power forecasting using ridgelet neural network, Electric Power Systems Research, 81, 2011, 2099-2107.
6. Anderson, D. L. T., 1976: The low-level jet as a western boundary current, Mon. Wea. Rev., 104, 907-921.
7. Anthes, R. A., Y.-H. Kuo, E.-Y.Hsie, S. Low- Nam, and T. W. Bettge, 1989: Estimation of skill and uncertainty in regional numerical models. Q. J. R. Met. Soc., 115, 763-806.
8. Antoniou, I., S. Pedersen, P. D. Enevoldsen, 2009: Wind shear and uncertainties in power curve measurement and wind resources, Wind Engineering, 33, 449-468.
9. Archer,C.L, M.Z. Jacobson, 2003: Spatial and temporal distributions of US winds and wind power at 80 m derived from measurements, J. Geophys. Res., 108, doi:10.1029/2002/D002076.
10. Baidya Roy, S., 2011: Simulating impacts of wind farms on local hydrometeorology. J. Wind Eng. Ind. Aerodyn. http://www.atmos. illinois.edu/~sbroy/publ/dx.doi.org/10. 1016/j.jweia.2010.12.013
11. Baidya Roy, S., J.J. Traiteur, 2010: Impacts of wind farms on surface temperatures. PNAS, 107, 17899-17904.
12. Baji?, A., 1989: Severe bora on the northern Adriatic. Part I: Statistical analysis. Rasprave-Papers, 24, 1-9.
13. Banta, R.M., R. K. Newsom, J. K. Lundquist, Y. L. Pichugina, R. L. Coulter, L. Mahrt, 2002: Nocturnal low-level jet characteristics over Kansas during CASES-99. Boundary Layer Meteor., 105, 221-252.
14. Banta, R.M., Y.L. Pichugina, W. A. Brewer, 2006: Turbulent velocity-variance profiles in the stable boundary layer generated by a nocturnal low-level jet. J. Atmos. Sci., 63, 2700-2719.
15. Barthelmie, R. J., S. C. Pryor, S. T. Frandsen, K. S. Hansen, J. G. Schepers, K. Rados, W. Schlez, A. Neubert, L. E. Jensen, and S. Neckelmann, 2010: Quantifying the impact of wind turbine wakes on poweroutput at offshore wind farms. J. Atmos. Oceanic Technol ., 27, 1302-1317, doi:10.1175/ 2010JTECHA1398.1
16. Bayar, T., 2011: Batteries for energy storage: New developments promise grid flexibility and stability. http://www.renewableenergyworld. com/rea/news/article/2011/08/batteries- for-energy-storage- newdevelopmentspromise- grid-flexibility-and-stability.
17. Belu, R, D. Korǎin, 2009: Wind Characteristics and Wind Energy Potential in Western Nevada. Renewable Energy, 34(10), pp. 2246-2251.
18. Belu, R., D. Kora?in, 2012: Effects of Complex Wind Regimes and Meteorological Parameters on Wind Turbine Performances, IEEE EnergyTech 2012, Cleveland, Ohio, USA, May 28-31, 2102 (CD Proceedings)
19. Belu R., 2012, Wind Energy Conversion and Analysis, Encyclopedia of Energy Engineering & Technology (Ed. Sohail Anwar), Taylor and Francis (in press).
20. Belušić D, M. Pasari? M, and M. Orlić, 2004: Quasi-periodic bora gusts related to the structure of the troposphere. Q. J. R. Meteorol. Soc. ,130, 1103-1121.
21. Bingol, F., Mann, J. and Larsen, G. C., 2010: Light detection and ranging measurements of wake dynamics part I: one-dimensional scanning. Wind Energy , 13: 51-61. doi: 10.1002/we.352
22. Blanco, M.I., 2009: The Economics of Wind Energy. Renewable and Sustainable Energy Reviews, (13:6-7), 1372-1382.
23. Blonbou, R. 2011: Very short-term wind power forecasting with neural networks and adaptive Bayesian learning, Renew. Energy, 36 (3), 1118-1124.
24. Bonner, W. D., 1968: Climatology of the lowlevel jet. Mon. Wea. Rev., 96, 833-850.
25. Burton, T., D. Sharpe, N., Jenkins, E., Bossanyi, 2001: Wind energy handbook. Chichester, UK: J. Wiley & Sons.
26. Calaf, M., C. Meneveau, J. Meyers, 2010: Large eddy simulation study of fully developed wind-turbine array boundary layers, Physics of Fluids, 22, 015110, doi:10.1063/1.3291077.
27. Catalao, J.P.S., H.M.I. Pousinho, V.M.F. Mendes, 2011: Short-term wind power forecasting in Portugal by neural networks and wavelet transform, Renew. Energy 36, 1245-1251.
28. Chen, H., T. Cong, W. Yang, C. Tan, Y. Li, Y. Ding, 2009: Progress in electrical energy storage system: a critical review, Progress in Natural Science,19, 291-312.
29. Churchfield, P., J. Moriarty, G. Vijayakumar, J.G. Brasseur, 2010: Wind Energy-Related Atmospheric Boundary Layer Large-Eddy Simulation Using OpenFOAM. 19th Symposium on Boundary Layers and Turbulence, Keystone, Colorado, August 2-6, 2010.
30. Costa, A., A. Grespo, J. Navarro, G. Lizcano, H. Madsen, E. Feitosa, 2008: A review of the young history of the wind power shortterm prediction, Renew. Sustain. Energy Rev., 12(6), 1725-1724.
31. Cuxart, J., and Coauthors, 2006: Single-column model intercomparison for a stably stratified atmospheric boundary layer. Bound.-Layer Meteor., 118, 273-303.
32. Davidson, P. A., 2004: Turbulence: An Introduction for Scientists and Engineers, Oxford University Press. ISBN 978-0-19-852949-1.
33. Deane, J.P., B.P. Gallachoir, E.J. McKeogh, 2010: Techno-economic review of existing and new pumped hydro energy storage plan, Renew. Sustain. Energy Rev., 14(4), 1293-1302.
34. El Kasmi, A., And C. Masson, 2008: An extended k-e model for turbulent flow through horizontal-axis wind turbines. Journal of Wind Engineering and Industrial Aerodynamics, 96, 103-122.
35. Elliott, D. L., J.B. Cadogan, 1990: Effects of wind shear and turbulence on wind turbine power curves 1990 European Community Wind Energy Conf. and Exhibition (Madrid, Sept. 1990).
36. EPRI, 1979: Technical and Economic Assessment of Advanced Compressed Air Storage Concepts, EPRI Report EM-1289, December 1979.
37. EPRI-DOE, 2003: Handbook of Energy Storage for Transmission & Distribution Applications. 1001834, Final Report, December 2003.
38. European Wind Energy Association (EWEA), 2010: Powering Europe: wind energy and the electricity grid. Available on http://www.ewea.org/
39. Fitch, A. C., J. B. Olson, J. K. Lundquist, J. Dudhia, A.K. Gupta, J. Michalakes, I. Barstad, 2012: Local and Mesoscale Impacts of Wind Farms as Parameterized in a Mesoscale NWP Model, Mon. Wea. Rev., 140, 3017-3038, doi: http://dx.doi.org/ 10.1175/MWR-D-11-00352.1
40. Fleming, P.D. and S. D. Probert, 1984: The evolution of wind-turbines: An historical review. Applied Energy, 18, 163-177.
41. Foley, A.M., P.G. Leahy, A. Marvuglia, E.J. McKeogh, 2012: Current methods and advance in forecasting of wind power generation, Renewable Energy, 37, 1-8.
42. Ford, R., and D. Milborrow, 2005: Integrating renewables. British Wind Energy Association 2005; http://www.bwea.com/pdf/ RAEIntegrationfinal.pdf.
43. Freris, L., D.G. Infield, 2008: Wind Energy in Power Systems. John Wiley and Sons, U.K., 284 pp.
44. Gipe, P., 1995: Wind Energy Comes of Age, John Wiley & Sons, New York.
45. Gomez-Elvira, R., A. Crespo, E. Migoya, F. Manuel and J. Hernandez, 2005: Anisotropy of turbulence in wind turbine wakes. Journal of Wind Engineering & Industrial Aerodynamics, 93(10), 797-814.
46. Grell, G.A., J. Dudhia, and D.R. Stauffer, 1994: A description of the fifth-generation Penn State/NCAR mesoscale model (MM5). NCAR Tech. Note NCAR/TN- 398+STR, 122 pp.
47. Grisogono, B. and D. Belušić, 2008: A review of recent advances in understanding the meso- and microscale properties of the severe Bora wind. Q. J. R. Meteorol. Soc., 61, 1-16.
48. Gustavson, M.R. 1978: Wind power extraction limits. In Proceedings National Conference, Fall '78, ed. Vaughn Nelson, p. 101
49. Hand, M.M., N.D. Kelley, M.J. Balas, 2003: Identification of Wind Turbine Response to Turbulent Inflow Structures. 4th ASME/JSME Joint Fluids Engineering Conference Honolulu, Hawaii, June 6-10, 2003. NREL/CP-500-33465.
50. Hebner, R.E., J. H. Beno, J.D. Herbst, "Coposite Flywheels for Energy Storage - Design Considerations"Electrical Energy Storage Applications and Technology Conference Record, EESAT 2002, April 15-17, 2002, San Francisco, CA.
51. Hodur, R. M., 1997: The Naval Research Laoratory's Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Mon. Wea. Rev., 125, 1414-1430.
52. Holmbacka, S., D. Silva, R. Chvalek, J. Konecny, A.O.Kareem, 2012: Energy Storage Utilizing Hydro Pump and Battery Technologies, Proceedings, ICCES8 2012.
53. Horvath, K., S. Ivatek-Šahdan, B. Ivanćan- Picek, and V. Grubišić, 2009: Evolution and structure of two severe cyclonic Bora events: contrast between the northern and southern Adriatic. Wea. Forecasting , 24, 946-964.
54. Horvath, K., A. Baji?, and S. Ivatek-Šahdan, 2011: Dynamical downscaling of wind speed in complex terrain prone to bora-type flows. J. Appl. Meteor. Climatol. , 50, 1676-1691.
55. Horvath, K., D. Kora?in, R. K. Vellore, J. Jiang, and R. Belu, 2012: Sub-kilometer dynamical downscaling of near-surface winds in complex terrain using WRF and MM5 mesoscale models. J. Geophys. Res. , 117, D11111, doi:10.1029/2012JD017432.
56. Ibrahim, H., A. Ilinca, J. Perron, 2008: Energy storage systems?Characteristics and comparisons Renew. Sustain. Energy Rev., 12(5), 1221-1250.
57. IEC Standard, 6 1400 12 1, 2005: Power performance measurements of electricity producing wind turbines.
58. Ingram E., 2009: Pumped storage development activity snapshots, Hydro Review, Dec. 2009, 12-25.
59. Iungo, G., Y. Wu and F. Porte-Agel, 2012: Field measurements of wind turbine wakes with LiDARs. J. of Atmos. and Oceanic Tech .doi: 10.1175/JTECH-D-12-00051.1
60. Ivanell, S.S.A., 2009: Numerical Computations of Wind Turbine Wakes. Ph.D. thesis, Gotland University, Stockholm, Sweden.
61. Jacobson, M.Z. and M.A. Delucchi, 2011: Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials. Energy Policy, 39, 1154-1169.
62. Jelavić, M. And N. Perić, 2009: Wind Turbine Control for High Turbulent Winds. Automatika, Journal for Control, Measurment, Electronics, Computing and Communications , 50, 3-4, 135-151.
63. Jenkins, N., T. Burton, D. Sharpe, E. Bossanyi, 2001: Wind Energy Handbook, Wiley & Sons.
64. Jiang, Q., J. D. Doyle, T. Haack, M. J. Dvorak, C. L. Archer, M. Z. Jacobson, 2008: Exploring wind energy potential off the California coast, Geophys. Res. Lett., 35, L20819, doi:10.1029/2008GL034674.
65. Jimenez B., F. Durante, B. Lange, T. Kreutzer, J. Tambke, 2007: Offshore wind resource assessment with WAsP and MM5: Comparative study for the German Bight, Wind Energy, 10, 121-134.
66. Jimenez, A., A. Crespo, E. Migoya and J. Garcia, 2008: Large-eddy simulation of spectral coherence in a wind turbine wake. Environ. Res. Lett., 3 015004 doi:10.1088/1748-9326/3/1/015004
67. Joselin Herbert, G.M., S., Inyian, E. Sreevalsanet al., 2007: A review of wind energy technology, Renewable & Sustainable Energy Reviews, 11, 1117-1145.
68. Justus CG, A. Mikhail, 1976: Height variations of wind speed and wind distribution statistics, Geophys. Res. Lett., 3, 261-264.
69. Kaldellis, J. K., D. Zafirakis, 2011: The wind energy (r)evolution: A short review of a long history. Renewable Energy, 36, 1887-1901.
70. Kalnay, E., 2003: Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, 342 pp.
71. Kaplan, M. L., J. W. Zack, V. C. Wong, J. J. Tuccillo, 1982: Initial results from a mesoscale atmospheric simulation system and comparisons with an AVE-SESAME I data set, Mon. Wea. Rev., 110, 1564-1590.
72. Katic, I. , J. Hojstrup and N.O. Jensen, 1986: A simple model for cluster efficiency. Proc. EWEC'86 , Rome,Vol. 1, 407-410.
73. Kelley, N.D., J.T. Bialasiewicz, R.M. Osgood, A. Jakubowski, 2000: Using Wavelet Analysis to Assess Turbulence/Rotor Interactions, Wind Energy, 3, 121-134.
74. Kelley, N., M., Shirazi, D. Jager, S. Wilde, J. Adams, M. Buhl, P. Sullivan, E. Patton, E., 2004: Lamar Low-Level Jet Project Interim Report; NREL/TP-500-34593; National Renewable Energy Laboratory: Golden, CO, USA.
75. Khartchenko, N.V., 1998: Advanced Energy Systems, Taylor and Francis Publishing. Washington D.C., 285 pp.
76. Klink, K., 1999: Climatological mean and interannual variance of United States surface wind speed, direction and velocity, Int. J. Climatol, 19, 471-88.
77. Kraus, H. et al., 1985: Nocturnal low-level jet during PUKK, Bound.-Layer Meteor., 31, 187-195.
78. Krishnamurthy, R., A. Choukulkar, R. Calhoun, J. Fine, A. Oliver and K.S. Barr, 2012: Coherent Doppler lidar for wind farm characterization. Wind Energy . doi: 10.1002/we.539
79. Kusiak, A., H. Zheng, Z. Song, 2009a: Wind Farm Power Prediction: A Data Mining Approach, J of Wind Energy Ind. Appl., 12, 275-293.
80. Kusiak, A., H. Zheng, Z. Song, 2009b: Models for monitoring wind farm power, J. of Renewable Energy, 34, 583-590.
81. Kwon, S.D., 2010: Uncertainty analysis of wind energy potential assessment, Applied Energy, 87, 856-865.
82. Lange, M., U. Focken, 2005: Physical Approach to Short-term Wind Power Prediction. Springer Verlag, Heidelberg, ISDN 3-540-25662-8
83. Lange, M., U. Focken, 2008: New developments in wind energy forecasting, IEEE Power and Energy Society General Meeting 2008 - Conversion and Delivering of Electrical Energy in 21st Century, 20-24 July, 2008, Pittsburgh, PA, USA , 1-8.
84. Lei, M., L. Shiyan, J. Chuanwen, L. Hongling, Z. Yan, 2009: A review on the forecasting of wind speed and generated power, Renew. Sustain. Energy Rev., 13 (4), 915-920.
85. Lewis, J. M., 2005: Roots of ensemble forecasting. Mon. Wea. Rev ., 133, 1865-1885.
86. Lu, X., M. McElroy, J. Kiviluoma, 2009: Global potential for wind generated electricity. Proc. Natl. Acad. Sci., 106, 10 933-10 938.
87. Lu, H. And F. Porte-Agel, 2011:LArge-eddy simulation of a very large wind farm in a stable atmospheric boundary layer, Physics of Fluids, 23 065101.
88. Lund, H., 2005: Lagre-scale integration of wind power into different energy systems, Energy, 30(13), 2402-2412.
89. Lydia, M. And S. S. Kumar, 2010: A comprehensive overview of wind power forecasting. International Power Engineering Conference (IPEC) conference 2010 proceedings, 268-273.
90. Mann, J., A. Pena, F. Bingol, R. Wagner, and M. S. Courtney, 2010: Lidar Scanning of momentum flux in and above the atmospheric surface layer, J. Atmos. Oceanic Technol., 27, 959-976, doi:10.1175/ 2010JTECHA1389.1.
91. Manwell, J.F, J.G. McGowan, A. L. Rogers, 2002: Wind Energy Explained: Theory, Design and Application, New York, John Wiley and Sons.
92. Marquis, M., J. Wilczak,, M. Ahlstrom, J. Sharp, A. Stern, J. Smith, S. Calvert, 2011: Forecasting the wind to reach significant penetration levels of wind energy. Bull. Amer. Meteorol. Soc., 92(9), 1159-1171. doi:10.1175/ 2011BAMS3033.1
93. Matos, M. A., R. J. Bessa, 2010: Setting the operating reserve using probabilistic wind power forecasts. IEEE Trans. Power Syst., 26, 594-603, doi:10.1109/TPWRS.2010.2065818.
94. Mikkelsen, T., N. Angelou, K. Hansen, M. Sjoholm, M. Harris, C. Slinger, P. Hadley, R. Scullion, G. Ellis and G. Vives, 2012: A spinner-integrated wind lidar for enhanced wind turbine control. Wind Energy . doi: 10.1002/we.1564
95. Milborrow, D, 2003: Forecasting for scheduled delivery. Wind Power monthly, 19, 12.
96. Monteiro, C., H. Keko, R. Bessa, V. Miranda, A. Botterud, J. Wang, G. Conzelmann, 2009: Wind power forecasting: state-of-theart 2009, Decisionand Information Sciences Division Report, Argonne National Laboratory.
97. Musgrove, P., 2010: Wind power. Cambridge University Press, 323 pp.
98. Pasqualetti, M.J., P. Gipe, and R.W. Righter, 2002: Wind Power in View. Academic Press, San Diego.
99. Pena, A., C. B. Hasager, S. Gryning, M. Courtney, I. Antoniou and T. Mikkelsen, 2009: Offshore wind profiling using light detection and ranging instruments. Wind Energy , 12, 105-124. doi: 10.1002/we.283
100. Peterson, E.W., J.P. Hennessey, 1977: On the use of power laws for estimates of wind power potential, J. Appl. Meteorol., 17, 390-394.
101. Petersen, E.L., N.G. Mortensen, L. Landberg, et al., 1998a: Wind power meteorology. Part I: Climate and turbulence, Wind Energy, 1(1), 25-45.
102. Petersen, E.L., N.G. Mortensen, L. Landberg, et al., 1998b: Wind power meteorology, Part II: Siting and models, Wind Energy, 1(2), 55-72.
103. Pichugina, Yelena L., Robert M. Banta, W. Alan Brewer, Scott P. Sandberg, R. Michael Hardesty, 2012: Doppler Lidar-Based Wind-Profile Measurement System for Offshore Wind-Energy and Other Marine Boundary Layer Applications. J. Appl. Meteor. Climatology , 51, 327-349.doi: doi: 10.1175/JAMC-D-11-040.1
104. Pielke R. A. et al., 1992: A comprehensive meteorological modeling system - RAMS. Meteorol. Atmos. Phys. 49, 69-91.
105. Pinson, P., H. Madsen, 2009: Ensemble-based probabilistic forecasting at Horns Rev. Wind Energy, 12(2), 137-155 (special issue on Offshore Wind Energy).
106. Porte-Agel, F., H. Lu, Y.-T. Wu, 2010: A large-eddy simulation framework for wind energy applications. The Fifth International Symposium on Computational Wind Engineering (CWE2010), Chapel Hill, NC, May 23-27.
107. Pryor S.C., R.J. Barthelmie, 2010: Climate change impacts on wind energy: A review, Renew. Sustain. Energy Rev., 14, 430-437.
108. Pryor, S. C., J. T. Schoof, R. J. Barthelmie, 2006: Winds of change?: Projections of near-surface winds under climate change scenarios, Geophys. Res. Lett., 33, L11702, doi:10.1029/2006GL026000.
109. Ren, D., 2010: Effects of global warming on wind energy availability. J. Renewable Sustainable Energy 2, 052301; doi: 10.1063/1.3486072
110. Rife, D. L. and C. A. Davis (2005), Verification of temporal variations in mesoscale numerical wind forecasts, Mon. Wea. Rev. , 133, 3368-3381,doi:10.1175/MWR3052.1.
111. Rohatgi, J., G. Barbezier, 1999: Wind turbulence and atmospheric stability?their effects on wind turbine output, Renew. Energy, 16, 908-911.
112. Sanderse, B., S. P. van der Pijl, and B. Koren, 2011: Review of computational fluid dynamics for wind turbine wake aerodynamics. Wind Energy , 14, 799-819. doi: 10.1102/we.458.
113. Sathe, A., J. Mann, J. Gottschall, and M. S. Courtney, 2011: Can wind lidars measure turbulence? J. Atmos. Oceanic Technol ., 28, 853-868, doi:10.1175/2010JTECH-D-10-05004.1.
114. Schepers, J.G., T.S. Obdam and J. Prospathopoulos, 2012: Analysis of wake measurements from the ECN Wind Turbine Test Site Wieringermeer, EWTW. Wind Energy . 15(4): 575-591.
115. Sheppard.D.G.,1994: Historical development of the windmill. In Wind turbine technology, fundamental concepts of wind turbine engineering, ed. David A. Spera, 1.ASME Press: New York.
116. Shoppe, C., 2010: Wind and Pumped-Hydro Power Storage: Determining Optimal Commitment Policies with Knowledge Gradient Non-Parametric Estimation. B.Sc. thesis.Princeton University.119 pp.
117. Sim, C., S. Basu, L. Manuel, 2009: The Influence of Stable Boundary Layer Flows on Wind Turbine Fatigue Loads. 47th AIAA Aerospace Sciences Meeting Including The New Horizons Forum and Aerospace Exposition, 5-8 January 2009, Orlando, Florida.
118. Sisterson, D L, B.B. Hick, R.L. Coulter, M.L. Wesely, 1983: Difficulties in using power laws for wind energy assessment, Solar Energy, 31, 201-204.
119. Skamarock, W. C., J. B. Klemp, J. Dudhia, et al. 2008: A description of the advanced research WRF version 3. NCAR Tech Note. NCAR/TN-475+STR, 125 pp.
120. Smedman, A., U. Hogstrom, H. Bergstrom, 1996: Low level jets - a decisive factor for offshore wind energy siting in the Baltic Sea, Wind Engineering, 28, 137-147.
121. Smith, J., M. Milligan, E. DeMeo, B. Parsons, 2007: Utility wind integration and operating impact state of the art, IEEE Trans. Power Syst., 22, 900-908.
122. Smith, C. M., R. J. Barthelmie, M. J. Churchfiled, P. Moriarty, K. S. Hansen, and J. Madsen, 2012: Complex wake merging phenomena in large offshore wind farms. 20th American Meterological Society conference on boundary layers and turbulence, Boston, Massachusetts, July 9-13, 2012.
123. Sorensen, J.N. and W.Z. Shen, 2002: Numerical Modelling of Wind Turbine Wakes. Journal of Fluids Engineering, 124, No. 2, 393-399.
124. Sreelakshmi, R. K., 2008: Performance evaluation of short-term wind speed prediction techniques, Int. J. of Computer Science and Network Security, 8(8), 162-169.
125. Steftos, A., 2000: A comparison of various forecasting techniques applied to mean hourly wind speed time series, J. of Renewable Energy, 21, 23-35.
126. Stensrud, D. J. 2001. Using short-range ensemble forecasts for predicting severe weather events. Atmos. Res., 56, 3-17.
127. Storm, B. And S. Basu, 2010: The WRF Model Forecast-Derived Low-Level Wind Shear Climatology over the United States Great Plains. Energies, 3, 258-276.
128. Storm, B, J. Dudhia, S. Basu, A. Swift, I. Giammanco, 2009: Evaluation of the Weather Research and Forecasting Model on Forecasting Low-level Jets: Implications for Wind Energy. Wind Energy, 12(1), 81-90. doi:10.1002/we.288.
129. Stovall, T.D., G. Pawlas, P.J. Moriarty, 2010: Wind farm wake simulations in Open- FOAM. AIAA, Paper 2010-0825.
130. Stull, R.B., 1999: An Introduction to Bounary Layer Meteorology, Kluwer Academic Publishers, Dorecht.
131. Sumner, J., C. Masson, 2006: Influence of atmospheric stability on wind turbine power performance curves, J. Sol. Energy Eng., 128, 531-537.
132. Sundararagavan, S., E. Baker, 2012: Evaluating energy storage technologies for wind power integration, Solar Energy, 86, 2707-2717.
133. Sutherland, H.J., 2002: Inflow and the Fatigue of the LIST Wind Turbine, 2002 ASME Wind Energy Symposium, AIAA/ASME, 427-437.
134. Taylor, J.W, P.E. McSharry, R. Buizza, 2009: Wind power density forecasting using ensemble predictions and time series models, IEEE Trans. Energy Convers., 24(3), 775-782.
135. Troldborg, N., J. N. Sorensen and R. Mikkelsen, 2007: Actuator line simulation of wake of wind turbine operating in turbulent inflow. The Science of Making Torque from Wind, 012063.
136. U.S. DOE, 2008: Research needs for wind resource characterization. NREL Tech. Rep. 500-43521, 116 pp. [Available online at www.nrel.gov/docs/fy08osti/ 43521.pdf.]
137. Vanderwende, BJ, and JK Lundquist, 2012: The modification of wind turbine performance by statistically distinct atmospheric regimes. Environ. Res. Lett., 7 034035.
138. Wagner, R., I. Antoniou, S.M. Pedersen, M.S. Courtney, H.E. Jorgensen, 2009: The influence of the wind speed profile on wind turbine performance measurements, Wind Energy, 12, 348-362.
139. Watson, S.J., L. Landberg, J.A. Halliday, 1994: Application of wind speed forecasting to the integration of wind energy into a large scale power system, IEE Proc. - Gener., Transm.Distrib., 141(4), 357-362.
140. Weggel, R.J. 1999: Maximum daily wind gust related to mean daily wind speed. J. Struct. Eng., 465-469.
141. Wharton, S., J. K Lundquist, 2011: Atmospheric stability affects wind turbine power collection, Environ. Res. Lett. , 7, 014005 (9pp).
142. Wiser, R., Z. Yang, M. Hand, O. Hohmeyer, D. Infield, P.H. Jensen, V. Nikolaev, M. O'Malley, G, Sinden, A. Zervos, 2011: Wind Energy. In IPCC Special Report in Renewable Energy Sources and Climate Change Mitigation [O. Edenhofer, R. Pichs-Madruga, Y. Sokona, K. Seyboth, P. Matschoss, S. Kadner, T. Zwickel, P. Eickemeier, G. Hansen, S. Schlomer, C. von Stechow (eds.)], Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
143. Wu, Y.-T., F. Porte-Agel, 2011: Large-Eddy Simulation of Wind-Turbine Wakes: Evaluation of Turbine Parametrisations, Bound.- Layer Meteorol., 138, 345-366, doi 10.1007/s10546-010-9569-x
144. Wu, Y-K., J.S. Hong, 2007: A literature review of wind forecasting technology in the world, IEEE Power Tech 2007 Conference, Lausanne, Switzerland, 504-509.
145. Yang C. J, R. Jackson, 2011: Opportunities and barriers to pumped-hydro energy storage in the United States. Renewable and Sustainable Energy Reviews, 15(1), 839-844.
146. Zack, J. W., K. T. Waight, G. E Van Knowe, M. D. Bousquet, 2000: An atmospheric modeling system designed to create simulated wind climatologies to support windgenerated power production. Preprints, 12th Conference on Applied Climatology, Asheville, NC. Amer. Meteor. Soc., 204-207.
147. Žagar, N., M. Žagar, J. Cedilnik, G. Gregorić and J. Rakovec, 2006: Validation of mesoscale low-level winds obtained by dynamical downscaling of ERA-40 over complex terrain. Tellus , 58A, 445-455.