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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！ 9 \0 z% k" u' ]
1 a$ a* i+ f. a3 {0 E9 q    下面是目录部分
" V- D; _2 t$ \3 gThe Science of Wind Energy 1
8 P9 x5 o) C! m- J8 V' ]" E• Analytical modelling of wind speed deficit in large offshore wind farms - Sten Frandsen, Risoe National Laboratory, Denmark " i: d" s5 K6 G5 v4 _
• Solutions for the grid integration of wind farms - A survey - Pierre Bousseau, EDF, France
6 A5 ?: p- ~" Y& g6 y# F- ?& r' v: ^; z• How coherent is inter-annual variability of wind indices across Europe and what are the implications for large scale penetration
: j2 R1 `5 }# n$ qby wind energy of electricity markets? - Sara Pryor, Indiana University, USA
0 ]4 n6 O& n" Z' j: X; ^7 n! g• Short-term wind forecasting using off-site observations - Kristin Larson, 3 Tier Environmental Forecast Group, Inc., USA6 b+ [- a4 }5 h3 m' f4 p
The Science of Wind Energy 2& d2 G' B) K; ^( ]5 i
• Investigation of the effects of grid transients and dynamics upon a hybrid renewable energy installation - James Conroy,
$ p* U' r) K& s' w+ qDepartment of Electronic and Electrical Engineering UCD, Ireland
. H/ s* W9 N/ }) n3 [/ r• Quantifying offshore wind resources from satellite wind maps: study area North Sea - Charlotte Hasager,; {- l' U# l; Q1 y" T
Risoe National Laboratory, Denmark" u0 E8 A0 W5 m4 t5 I' d* S2 g
• Extending an existing wind power forecasting system with probabilistic forecasts - Henrik Nielsen, IMM, DTU, Denmark2 F) d0 ~7 a9 K) T. }
• Long term variation of wind potential: are we moving into a low NAO-cycle period? - Axel Albers, Deutsche WindGuard, Germany ! ]( ]9 }3 c+ W! S: y6 N, G
Measurements Methods and Techniques
9 \& o0 p5 s* h9 M• Chair - Hans Bergstrom, Uppsala University, Sweden/ e! k+ A+ {# B5 ~. B
• Wind lidar evaluation at the Danish wind test site in Høvsøre - David Smith, QinetiQ, United Kingdom
5 f8 e& e- r. D• Comparison of wind speed and power curve measurements using a cup anemometer, a LIDAR and a SODAR - Ioannis Antoniou,3 z2 }( ?, h# s5 e
Risoe National Laboratory, Denmark 1 y4 B5 _0 d# b. ?# `4 ]
• Probabilistic wind power forecasts in terms of quantiles - John Bremnes, Norwegian Meteorological Institute, Norway
! h7 n; W5 n. f• Variability in the energy content of the wind over Scandinavia - a 101-year perspective - Cecilia Johansson,8 B0 }% @4 U# m4 M7 Y
Uppsala University, Sweden
6 [9 d& M! b& o. S$ |! d9 [Improving Wind Resource Assessment2 p" t3 v8 ~# A5 T# v+ k5 |: z
• A study of mountain valley winds using the MIUU mesoscale model - Hans Bergstøm, Uppsala University, Sweden' m# V" `0 M( E' e# F0 E, l1 T3 s$ ], l
• Flow in and near forests - Ebba Dellwik, Risoe National Laboratory, Denmark
6 }' ~5 A$ n0 @+ K3 D, i• An evaluation of the WAsP model in a coastal mountainous site in Norway - Erik Berge, Kjeller Vindteknikk AS, Norway. c$ [ b2 [8 x" p: [ D
• Resource analysis for water offshore of the United Kingdom - Dougal McQueen, CREST, United Kingdom
4 m7 n* g" K m- nAeroelasticity and Loads 8 `. k2 N% a( t, U1 J
• Application of a modified Theodorsen model to yawed flow conditions and to aerodynamic damping: some results - Herman Snel,7 k4 l! `& z, F; @0 D9 c7 f
Energy Research Centre of the Netherlands, ECN, The Netherlands
5 A) `% @2 O# Y• Analysis of internal drive train dynamics in a wind turbine - Joris Peeters, KUL, Belgium
d F! r' h, |' f( y$ T1 M• Enhancing the damping of wind turbine rotor blades, the DAMPBLADE project - Panagiotis Chaviaopoulos,
5 d. m1 w2 @) L- n9 DCentre for Renewable Energy Sources, Greece
& \- _# j* k3 j; J& M• Estimating aeroelastic damping of operational wind turbine modes from experiments - Morten Hansen,7 A$ c- a) J; C/ ^* T
C
% O# v* Q3 ?6 BRisoe National Laboratory, Denmark8 ?6 w3 m1 T$ c: W- [/ P1 o. X7 S
Aerodynamics
! m$ \3 }+ x* u0 M2 i. q• Aero-elastic wind turbine analysis using system identification - Benjamin Marrant, TU Delft, The Netherlands
2 K( b. ^8 [# { d/ z3 X' z! `4 l• More power and less loads in wind farms: 'Heat and Flux' - Gustave Corten, ECN Wind Energy, The Netherlands
7 k `7 @+ W2 H; _5 t2 Q• A computational comparison of standard and pneumatic Gurney flaps using CFD - Conrad Trevelyan, Dulas Ltd., United Kingdom / f1 l8 }$ D z$ h& X9 P
• Using near wake measurements to improve BEM engineering models for yawed wind turbines - Tonio Sant,
& T' J3 f$ ~2 ~- }DUWIND, University of Technology( l, v7 {% A( m7 D
System and Grid Integration and Control
6 k0 R: I6 G: Z& C. ]. W1 \• Comparison of dynamic models for wind turbine grid integration studies - Maider Santos Mugica, CISAE, Spain
% u2 S) y# Q1 M* p1 a! X• IPSYS – A simulation tool for performance assessment and controller development of hybrid systems – modelling concept and6 v9 j' w/ a* `+ u) V+ ^( o
verification - Henrik Bindner, Risoe National Laboratory, Denmark; k+ v7 v1 Z3 V. z
• New concepts to integrate German offshore wind potential into electrical energy supply - Kurt Rohrig,8 ]. t: \0 Y+ D5 Y4 j. R7 j! k
Institut für Solare Energieversorgungstechnik, Germany
+ l" V. @) W1 {& q, U• Windfarm modelling for network analysis - Simulation and verification - Magni Palsson, SINTEF Energy Research, Norway |
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