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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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4 W) L: _9 J; o4 p3 W6 |6 _9 P* P   文件制作为折页左旋转90度，可能阅读起来稍微麻烦一点！ H; j( i* c" {" X' x. N
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    下面是目录部分
, B0 U' u. m0 V% \+ T }The Science of Wind Energy 1
3 g& {- i+ Q0 [/ x2 q• Analytical modelling of wind speed deficit in large offshore wind farms - Sten Frandsen, Risoe National Laboratory, Denmark
5 S4 D% g0 W( B8 |• Solutions for the grid integration of wind farms - A survey - Pierre Bousseau, EDF, France
) T$ \6 D8 q: f9 P• How coherent is inter-annual variability of wind indices across Europe and what are the implications for large scale penetration$ M+ M u7 ]+ Q, W" Q
by wind energy of electricity markets? - Sara Pryor, Indiana University, USA
1 `( k, q7 J6 W& m• Short-term wind forecasting using off-site observations - Kristin Larson, 3 Tier Environmental Forecast Group, Inc., USA
! d/ m; j1 J: ^1 q( u$ n5 {6 LThe Science of Wind Energy 2
: f3 L2 }' P$ ^' b% |3 |• Investigation of the effects of grid transients and dynamics upon a hybrid renewable energy installation - James Conroy,
4 J& N! K5 L* S- xDepartment of Electronic and Electrical Engineering UCD, Ireland
' S: x% W: D: @5 V7 [" D9 j5 Q) }, o• Quantifying offshore wind resources from satellite wind maps: study area North Sea - Charlotte Hasager,
2 P. {9 ]3 a- @$ {, Y( F1 HRisoe National Laboratory, Denmark% o3 p) X$ U @
• Extending an existing wind power forecasting system with probabilistic forecasts - Henrik Nielsen, IMM, DTU, Denmark1 b$ d8 P) M: Q
• Long term variation of wind potential: are we moving into a low NAO-cycle period? - Axel Albers, Deutsche WindGuard, Germany
! u7 h5 T) p# u6 W4 tMeasurements Methods and Techniques/ c- }. f; S# [9 }; B5 @
• Chair - Hans Bergstrom, Uppsala University, Sweden' v3 x' V) P& ]) E- {
• Wind lidar evaluation at the Danish wind test site in Høvsøre - David Smith, QinetiQ, United Kingdom 9 C9 ?" U7 t5 `) Z4 L1 }
• Comparison of wind speed and power curve measurements using a cup anemometer, a LIDAR and a SODAR - Ioannis Antoniou,$ D& T3 l8 h5 I
Risoe National Laboratory, Denmark ! }2 H2 A) _2 J# U; r8 h- ~' ^
• Probabilistic wind power forecasts in terms of quantiles - John Bremnes, Norwegian Meteorological Institute, Norway3 b, q1 j e! Y3 m& w
• Variability in the energy content of the wind over Scandinavia - a 101-year perspective - Cecilia Johansson,
4 u& s" L2 m5 K( i# {6 LUppsala University, Sweden
8 \2 Z2 @" ^. x3 w. z. jImproving Wind Resource Assessment2 I. N5 k( e% E! N0 T9 H' H. l1 q
• A study of mountain valley winds using the MIUU mesoscale model - Hans Bergstøm, Uppsala University, Sweden
, I P, l, M4 V: F. V• Flow in and near forests - Ebba Dellwik, Risoe National Laboratory, Denmark 4 D) k u/ c1 R' W3 T
• An evaluation of the WAsP model in a coastal mountainous site in Norway - Erik Berge, Kjeller Vindteknikk AS, Norway2 Z0 v! w5 U4 }# d% J- z
• Resource analysis for water offshore of the United Kingdom - Dougal McQueen, CREST, United Kingdom
$ E: r3 N" h# e9 v5 G! u' ^8 x, ?( v- zAeroelasticity and Loads # t3 W, Y b* ~* y/ N+ `1 {) }
• Application of a modified Theodorsen model to yawed flow conditions and to aerodynamic damping: some results - Herman Snel,0 r( k' W6 X5 H) C/ z4 w
Energy Research Centre of the Netherlands, ECN, The Netherlands : K, M' J' m, F: L2 c3 C
• Analysis of internal drive train dynamics in a wind turbine - Joris Peeters, KUL, Belgium
' o* |) h: j4 Q9 r' y+ d; X• Enhancing the damping of wind turbine rotor blades, the DAMPBLADE project - Panagiotis Chaviaopoulos,* y" @% U; o5 E" V6 _0 D
Centre for Renewable Energy Sources, Greece . i; y8 ~6 D9 ?) y: q0 [& r
• Estimating aeroelastic damping of operational wind turbine modes from experiments - Morten Hansen,
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Risoe National Laboratory, Denmark% I& _% F9 {5 d6 `
Aerodynamics/ q$ I) U9 z5 L3 N
• Aero-elastic wind turbine analysis using system identification - Benjamin Marrant, TU Delft, The Netherlands Z. ?( I1 A; i9 K: t4 X/ q) K
• More power and less loads in wind farms: 'Heat and Flux' - Gustave Corten, ECN Wind Energy, The Netherlands 8 W0 G2 D: p7 [( G8 M
• A computational comparison of standard and pneumatic Gurney flaps using CFD - Conrad Trevelyan, Dulas Ltd., United Kingdom
/ P7 M3 b3 J& ?% Q• Using near wake measurements to improve BEM engineering models for yawed wind turbines - Tonio Sant,4 u& C" w( z6 J: e- o' }7 K
DUWIND, University of Technology- ~: d% s q7 p6 h
System and Grid Integration and Control3 T8 D% k' p1 H! P, S. W$ d2 [
• Comparison of dynamic models for wind turbine grid integration studies - Maider Santos Mugica, CISAE, Spain8 ~5 |: a9 ~8 Y# m0 u+ M' r5 ^
• IPSYS – A simulation tool for performance assessment and controller development of hybrid systems – modelling concept and
* z0 M2 B+ g: P" z- B4 Vverification - Henrik Bindner, Risoe National Laboratory, Denmark* H- r# B, I& ?7 B8 [: `, T
• New concepts to integrate German offshore wind potential into electrical energy supply - Kurt Rohrig,* }3 j; M. W5 {: l& a( [5 N8 J
Institut für Solare Energieversorgungstechnik, Germany
# |# U4 }# ^& r, X, s w9 W" d7 X• Windfarm modelling for network analysis - Simulation and verification - Magni Palsson, SINTEF Energy Research, Norway |
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