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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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   文件制作为折页左旋转90度，可能阅读起来稍微麻烦一点！ 7 @; v. K! m" ^) S: p3 a) X7 B
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    下面是目录部分. o9 n& \2 c; S4 _
The Science of Wind Energy 1
2 _4 e! a. K v4 y) h• Analytical modelling of wind speed deficit in large offshore wind farms - Sten Frandsen, Risoe National Laboratory, Denmark 1 [6 I9 V* x+ ~
• Solutions for the grid integration of wind farms - A survey - Pierre Bousseau, EDF, France7 c1 a: `; J" }' a1 ]& Z
• How coherent is inter-annual variability of wind indices across Europe and what are the implications for large scale penetration
& J6 d+ Z+ W3 E+ nby wind energy of electricity markets? - Sara Pryor, Indiana University, USA ( g6 C( w$ h" N0 P' K
• Short-term wind forecasting using off-site observations - Kristin Larson, 3 Tier Environmental Forecast Group, Inc., USA
! _! l# B1 [& R+ c" f( `, U6 y9 MThe Science of Wind Energy 22 r3 q! L. _8 } ]0 _ D' e( F
• Investigation of the effects of grid transients and dynamics upon a hybrid renewable energy installation - James Conroy,7 N0 g. X( l. k! d- W% x# E; i" N; S
Department of Electronic and Electrical Engineering UCD, Ireland
! Y0 D9 `4 {1 p; v. p, z• Quantifying offshore wind resources from satellite wind maps: study area North Sea - Charlotte Hasager,
" @4 o, h: a3 Z8 @! B% ~2 ?Risoe National Laboratory, Denmark- k9 y8 w8 f6 n% K3 F
• Extending an existing wind power forecasting system with probabilistic forecasts - Henrik Nielsen, IMM, DTU, Denmark# `1 i1 S4 T4 r) o/ Z# H
• Long term variation of wind potential: are we moving into a low NAO-cycle period? - Axel Albers, Deutsche WindGuard, Germany 9 ]+ L+ G) X5 ?$ {8 {
Measurements Methods and Techniques
+ V* C2 h6 z, ~# @+ K% j7 i( [4 I- A• Chair - Hans Bergstrom, Uppsala University, Sweden
. l! D5 T. ~" f8 ]• Wind lidar evaluation at the Danish wind test site in Høvsøre - David Smith, QinetiQ, United Kingdom
# ^5 i0 T7 X! q- ~) C5 T• Comparison of wind speed and power curve measurements using a cup anemometer, a LIDAR and a SODAR - Ioannis Antoniou,4 T( z" F8 e) U4 g
Risoe National Laboratory, Denmark
1 p7 b* @- b' {$ r• Probabilistic wind power forecasts in terms of quantiles - John Bremnes, Norwegian Meteorological Institute, Norway
& v# [4 V& Y0 m1 ]1 c' J [• Variability in the energy content of the wind over Scandinavia - a 101-year perspective - Cecilia Johansson,4 h- X$ n2 {# `8 u
Uppsala University, Sweden
( Y+ C0 n/ }; N' ?7 DImproving Wind Resource Assessment& S' ?* p! d" r+ f2 a
• A study of mountain valley winds using the MIUU mesoscale model - Hans Bergstøm, Uppsala University, Sweden
( S* |6 ~" U& R• Flow in and near forests - Ebba Dellwik, Risoe National Laboratory, Denmark
- m8 S G5 K3 c+ _, `; H• An evaluation of the WAsP model in a coastal mountainous site in Norway - Erik Berge, Kjeller Vindteknikk AS, Norway
4 [" G# H+ s O/ d5 s: u• Resource analysis for water offshore of the United Kingdom - Dougal McQueen, CREST, United Kingdom
9 l* A. R- e5 c5 O+ t0 Z7 jAeroelasticity and Loads
4 U; f# s4 }" H" Q% x4 t• Application of a modified Theodorsen model to yawed flow conditions and to aerodynamic damping: some results - Herman Snel,
T- ~5 I+ p; A! J9 yEnergy Research Centre of the Netherlands, ECN, The Netherlands 5 [' h: c* y: Y: t- U
• Analysis of internal drive train dynamics in a wind turbine - Joris Peeters, KUL, Belgium ( ~0 t! l) o" g" `
• Enhancing the damping of wind turbine rotor blades, the DAMPBLADE project - Panagiotis Chaviaopoulos,9 V. x4 a2 x8 o" s* b% h/ F
Centre for Renewable Energy Sources, Greece 6 D- i H/ T( O0 t* B4 k P) }
• Estimating aeroelastic damping of operational wind turbine modes from experiments - Morten Hansen,
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Risoe National Laboratory, Denmark
$ [& l' S9 q$ L1 f( M3 wAerodynamics' t3 o3 R( R. k. q2 S
• Aero-elastic wind turbine analysis using system identification - Benjamin Marrant, TU Delft, The Netherlands % n0 M0 n Y. o' E; a/ Y' @
• More power and less loads in wind farms: 'Heat and Flux' - Gustave Corten, ECN Wind Energy, The Netherlands
& R: C+ A+ ?" [2 `0 |1 }% C; }• A computational comparison of standard and pneumatic Gurney flaps using CFD - Conrad Trevelyan, Dulas Ltd., United Kingdom 6 v8 o! f7 R3 z3 K1 w p
• Using near wake measurements to improve BEM engineering models for yawed wind turbines - Tonio Sant,
- v% K4 |4 N iDUWIND, University of Technology& H; o7 u5 q) g( |5 d" g
System and Grid Integration and Control& F9 }$ i$ s& v! c. n; m
• Comparison of dynamic models for wind turbine grid integration studies - Maider Santos Mugica, CISAE, Spain
7 D2 s4 x: }6 ?; a4 r• IPSYS – A simulation tool for performance assessment and controller development of hybrid systems – modelling concept and! D+ C8 a3 ^) U: l) c
verification - Henrik Bindner, Risoe National Laboratory, Denmark' t- [- {' K9 g1 w2 v$ z6 D
• New concepts to integrate German offshore wind potential into electrical energy supply - Kurt Rohrig,
7 P- V0 s7 Y' s4 n8 ^5 hInstitut für Solare Energieversorgungstechnik, Germany ! T& q/ K- E) ?2 S7 { S( i) t
• Windfarm modelling for network analysis - Simulation and verification - Magni Palsson, SINTEF Energy Research, Norway |
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