6. 2005 2006 2007 2008 2011
Edison
• Wind data quality check
• Wind resource
assessment with
WindSim/in-house tool
• IEC site suitability
• Noise
7. 2005 2006 2007 2008 2011
VTT - Finland
• LIDAR measurements
• Met Mast maintainance
• Wind Data analysis
• Wind resource
assessment with
WindSim/WAsP
• IEC site suitability
• Power Performance
measurements
8. 2005 2006 2007 2008 2011
WindSim
- Project acquisition, proposals
- Project management and international team coordination
- IEC TC88 member (MT1)
- CEI CT88 member
WindSim User Meeting 2011
9. CONSULTING SERVICES
Wind Farm Project Phases
CFD-aided Measurement
Bankable AEP Assessment
Campaign Design
Site Suitability According
CFD Model Quality Assurance
IEC61400-1
Micro-scale Wind Resource
Post Construction Assessment
Mapping
Optimized Wind Farm Design Short Term Production Forecasting
13. Minimize Turbine Loads: Is this turbine good
for my site?
Demonstration that the wind conditions at the site are no more
severe than those assumed for the design of the wind turbine
(IEC 61400 – 1: Design Requirements)
14. Minimize Turbine Loads: Assessment of
structural integrity by reference to wind data
the following conditions should be checked at the site:
• Estimate of extreme 10-min average wind speed at hub height
with a recurrence period of 50 year
• Value of the probability density function of Vhub
• Environmental turbulence plus wake induced turbulence from
nearby turbines
• Average vertical wind shear
• Flow inclination
• Air density
16. Layout design and optimization
Drawn wind farm area
Check IEC constraints
Optimize layout according to:
- Annual Energy Production
- Net present value
17. Post construction assessment
Compare measured and expected wind Performance Matrix method used
farm power curve to check the
performance of your investment.
IEC disturbed sectors
18. Short term production forecasting
Improve your weather forecast using the power of neural networks and
physical modeling
process inside the WindSim software
outside the WindSim software
data necessary for the training of the neural networks
optional data to improve the system
19. Conclusions
WindSim consulting Team is at your service!
Thank you – Tusen Takk – Mille Grazie