The streamlined site assessment methodology: A new approach for wind energy site assessment
作者： Matthew A. Lackner
DOI:
关键词:
摘要:
harvard.edu参考文章(41)
N.G. Mortensen, L. Landberg, A comparison of physical and statistical methods for estimating the wind resource at a site 15th British Wind Energy Association Conference. pp. 119- 125 ,(1994)
Jørgen Højstrup, Niels Gylling Mortensen, Lars Landberg, Erik Lundtang Petersen, Helmut Paul Frank, Wind Power Meteorology Risø National Laboratory. ,(1997)
K. H. Papadopoulos, N. C. Stefantos, U. S. Paulsen, E. Morfiadakis, Effects of Turbulence and Flow Inclination on the Performance of Cup Anemometers in the Field Boundary-Layer Meteorology. ,vol. 101, pp. 77- 107 ,(2001) , 10.1023/A:1019254020039
J. F. Dale Addison, Andrew Hunter, Jeremy Bass, Matt Rebbeck, A neural network version of the measure correlate predict algorithm for estimating wind energy yield ,(2000)
Marc N. Schwartz, Wind Shear Characteristics at Central Plains Tall Towers Washington, DC: American Wind Energy Association. ,(2006)
Troels Friis Pedersen, Characterisation and Classification of RISØ P2546 Cup Anemometer ,(2003)
D.L. Elliott, J.B. Cadogan, Effects of wind shear and turbulence on wind turbine power curves wien. pp. 10- 14 ,(1990)
P. Enevoldsen, S. Gjerding, Troels Friis Pedersen, H.K. Jørgensen, J.K. Hansen, Wind turbine power performance verification in complex terrain and wind farms ,(2002)
H. Nfaoui, H. Essiarab, A.A.M. Sayigh, A stochastic Markov chain model for simulating wind speed time series at Tangiers, Morocco Renewable Energy. ,vol. 29, pp. 1407- 1418 ,(2004) , 10.1016/S0960-1481(03)00143-5
L. Kristensen, The perennial cup anemometer Wind Energy. ,vol. 2, pp. 59- 75 ,(1999) , 10.1002/(SICI)1099-1824(199901/03)2:1<59::AID-WE18>3.0.CO;2-R