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发表于 2008-6-25 08:17:28
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来自： 中国山东泰安
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无书签，PDF格式！4 A) a# R2 x: b+ B B+ [. ?- c
2 F3 Z* e$ x( E) K# f   文件制作为折页左旋转90度，可能阅读起来稍微麻烦一点！ % \$ v$ \( \( ~: w
( ]; k0 L' {7 i: \ R    下面是目录部分
/ A8 q q. F7 k3 p# C7 }The Science of Wind Energy 1
. i$ D, Y2 h8 W• Analytical modelling of wind speed deficit in large offshore wind farms - Sten Frandsen, Risoe National Laboratory, Denmark % F9 x! ]2 Y- H- t& N
• Solutions for the grid integration of wind farms - A survey - Pierre Bousseau, EDF, France
8 G# K1 m; d& d8 o1 U• How coherent is inter-annual variability of wind indices across Europe and what are the implications for large scale penetration( r" @; Z: E, x2 f( ~4 r. J
by wind energy of electricity markets? - Sara Pryor, Indiana University, USA 9 m/ \8 o+ D0 g1 d7 L: \
• Short-term wind forecasting using off-site observations - Kristin Larson, 3 Tier Environmental Forecast Group, Inc., USA
1 j! G8 A- U( u7 h F' TThe Science of Wind Energy 28 Z' @- w8 W' e
• Investigation of the effects of grid transients and dynamics upon a hybrid renewable energy installation - James Conroy,
2 |/ P# D- i% Y4 q$ {5 p1 D) C) h8 ?Department of Electronic and Electrical Engineering UCD, Ireland , ]: K/ `8 B: c5 @0 l: }
• Quantifying offshore wind resources from satellite wind maps: study area North Sea - Charlotte Hasager," U* |6 \( S1 l4 [$ ], D- X, V
Risoe National Laboratory, Denmark
: i- V% m7 o: O. ]# d• Extending an existing wind power forecasting system with probabilistic forecasts - Henrik Nielsen, IMM, DTU, Denmark0 A" R# W0 r* Q: y+ ]; E
• Long term variation of wind potential: are we moving into a low NAO-cycle period? - Axel Albers, Deutsche WindGuard, Germany U! l8 p$ H) F* i
Measurements Methods and Techniques0 e- Y* `- ?2 F/ W
• Chair - Hans Bergstrom, Uppsala University, Sweden4 J! t( }- [! R$ Q. O
• Wind lidar evaluation at the Danish wind test site in Høvsøre - David Smith, QinetiQ, United Kingdom 3 o2 j( L* Q; H4 Y
• Comparison of wind speed and power curve measurements using a cup anemometer, a LIDAR and a SODAR - Ioannis Antoniou,8 y! e9 @- g Q! Z9 ~5 @2 t
Risoe National Laboratory, Denmark
( n8 A2 V2 T# r• Probabilistic wind power forecasts in terms of quantiles - John Bremnes, Norwegian Meteorological Institute, Norway
1 k: x) X9 H7 ^• Variability in the energy content of the wind over Scandinavia - a 101-year perspective - Cecilia Johansson," B$ A8 P, H8 W. W& f9 O
Uppsala University, Sweden' x6 b+ k, a6 n6 L
Improving Wind Resource Assessment; y, k' {. ^4 H3 C5 c% z
• A study of mountain valley winds using the MIUU mesoscale model - Hans Bergstøm, Uppsala University, Sweden' w' ^+ b1 \2 u* z( Z) T
• Flow in and near forests - Ebba Dellwik, Risoe National Laboratory, Denmark
8 V& t2 x, W5 {( s p5 Q/ `• An evaluation of the WAsP model in a coastal mountainous site in Norway - Erik Berge, Kjeller Vindteknikk AS, Norway
4 \; X! B3 h O4 s• Resource analysis for water offshore of the United Kingdom - Dougal McQueen, CREST, United Kingdom 8 _- P* m S3 G- C- h5 o4 B
Aeroelasticity and Loads
8 ?7 d8 I6 }3 g) s• Application of a modified Theodorsen model to yawed flow conditions and to aerodynamic damping: some results - Herman Snel,3 L; x8 B) a0 Z- r
Energy Research Centre of the Netherlands, ECN, The Netherlands # K( n/ A9 z9 x( R
• Analysis of internal drive train dynamics in a wind turbine - Joris Peeters, KUL, Belgium
$ C k, |/ `$ F) {• Enhancing the damping of wind turbine rotor blades, the DAMPBLADE project - Panagiotis Chaviaopoulos,5 ?6 K- s9 D1 {. t* E
Centre for Renewable Energy Sources, Greece 8 p" w0 R0 R6 J% ~2 j7 C: P) r
• Estimating aeroelastic damping of operational wind turbine modes from experiments - Morten Hansen,
1 [' U$ l' e: y- n" a6 gC# t) s5 \3 u# m6 M1 ?
Risoe National Laboratory, Denmark( K6 Y+ `( K# P; R* ^
Aerodynamics
) l3 N9 s! b w' {( Y( L% X+ G• Aero-elastic wind turbine analysis using system identification - Benjamin Marrant, TU Delft, The Netherlands
1 ?8 Z4 W& {0 u ]$ v& z1 C• More power and less loads in wind farms: 'Heat and Flux' - Gustave Corten, ECN Wind Energy, The Netherlands $ y0 @$ F9 @' M6 Q9 g9 C# c
• A computational comparison of standard and pneumatic Gurney flaps using CFD - Conrad Trevelyan, Dulas Ltd., United Kingdom e- O1 Z l. S% r3 \5 R9 C# E6 n! \
• Using near wake measurements to improve BEM engineering models for yawed wind turbines - Tonio Sant,6 t: j' N6 c) l- d7 M0 x
DUWIND, University of Technology
! R! a2 B7 ^) vSystem and Grid Integration and Control0 G/ j4 T5 t. s
• Comparison of dynamic models for wind turbine grid integration studies - Maider Santos Mugica, CISAE, Spain
8 c, Z$ g, o9 l/ j# ~• IPSYS – A simulation tool for performance assessment and controller development of hybrid systems – modelling concept and1 s& ~$ n/ e$ w) W
verification - Henrik Bindner, Risoe National Laboratory, Denmark# u3 c0 @( b! R
• New concepts to integrate German offshore wind potential into electrical energy supply - Kurt Rohrig,, B# ?' O6 O a9 k1 k3 V7 t
Institut für Solare Energieversorgungstechnik, Germany
) x+ t6 |& l* M$ T5 V% L• Windfarm modelling for network analysis - Simulation and verification - Magni Palsson, SINTEF Energy Research, Norway |
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