Registration And Morning Refreshments

Chair's Opening Remarks 

Line Storelvmo Holmberg, Plant Siting And Forecasting Director, Vestas

Validate Measurements With A Scanning LiDAR And Compare The Results To CFD Modelling

• Scanning LiDAR campaign 
• Validation with a reference metmast
• Uncertainty estimation of the scanning LiDAR
• CFD modelling of the site with Code_Saturne
• Comparison between CFD calculation and the scanning LiDAR measurements

Hugo Herrmann,  Offshore Wind Resource Engineer,  EDF Energy

Prediction Of Turbulence Intensity At Large Offshore Wind Farms

• A look at the accuracy of the Frandsen model for predicting mean and representative turbulence intensity in a large offshore array

• A comparison of the Frandsen model with a CFD code for prediction of wind farm array turbulence intensity

• Comments on the validity of a so-called ‘background wind farm’ turbulence intensity

• Recommendations for best practice in the prediction of turbulence intensity in large offshore arrays  

Simon Watson, Professor, Loughbourough University 

Networking Break And Morning Refreshments

Maximising Energy Capture Through The Correction Of Yaw Misalignments

• Collecting wind speed and direction data on a specific turbine
• How to properly apply the correction factor to yaw misalignment
• What is the impact on AEP once the yaw error has been eliminated?

Peter Clive, Senior Scientist, SgurrEnergy 

Joint Presentation: Loss And Uncertainty In Production Estimates For Offshore Wind Projects: How Do We Treat Asymmetric Uncertainties?

• Wind speed uncertainties and their influence on power uncertainty distributions
• Uncertainty in technical availability – use of skewed uncertainty distributions
• Combined loss and uncertainty analysis using Monte Carlo simulation

Knut Bech,   Lead Engineer Wind Competence Center,   Statoil

Marie-Anne Cowan, Senior Engineer, DNV GL 

Networking Lunch

Performance Optimisation And Monitoring – Get Insights Into Turbine Operations 

• Increase wind turbine performance and demonstrate improvements
• Permanently monitor the input parameter to wind turbines: the wind
• Ensure maximal output - performance monitoring over lifetime

Karl Fatrdla, Head Of Sales, ROMO Wind 

Nigel Parlor, Business Manager, UK & Ireland, ROMO Wind 

Cutting To The Chase – Real-World Finances Behind Resource Assessment With Lidar

• An overview of the  Renewable Energy Systems (RES) approach to lidars
• Shear verification, horizontal extrapolation, flow model verification, post-construction analysis and turbine performance
• The numbers – cost of lidar, uncertainty reduction, value increase

Networking Break And Afternoon Refreshments 

Leverage The Latest IT Methods To Enhance Wind Resource Assessment Processes And Deliver More Accurate And Faster Results

• How do long simulation jobs and limited computational power seriously affect the output qualitiy of traditional wind resource modeling simulations methods
• How can cloud computing and HPC be leveraged to address the most advanced wind resource assessment requirements?
• How will the best practices significantly increase the required computational power?

Karim Fahssis, CEO, Meteopole 

PANEL DISCUSSION

Power Curves In The Real World

To improve predictions we need to understand real turbine behaviour at real sites and their interaction with real wind. We will look at new methods for better predicting and reviewing of power curve performance and what additional steps need to be taken in the area.

Participants include:

Carla Ribeiro, Head Of Department - Project Development, DNV GL 
Suresh Pillai,  Vice President And Global Head – Wind And Site,  Suzlon

Roberto Aurelio Chavez Arroyo,  Researcher,  CENER

Peter Clive,  Senior Scientist,  SgurrEnergy 

Chair's Closing Remarks

Close Of Forum