Description
Resource Assessment 2019 will focus on reducing uncertainty when estimating how much wind there is at a given site, through better models and validation tools.
The Resource Assessment Workshop will be constructed around the following main topics.
Topic 1: reducing uncertainty in data analysis and processing
- Uncertainty quantification – in individual WRA steps and propagation of uncertainties through the workflow;
- Time series modelling. What stops us from wider implementation of time series calculations as opposed to frequency based?
Topic 2: reducing uncertainty in measurements using LiDARs
- LiDAR and site suitability? TI measurements with LIDARs.
• Shear adjustment for measurements campaigns including short masts and LIDARs? - Acceptance, validation, correction strategies.
• Do we need to calibrate LiDARs against masts? - Applications of scanning LiDARs : how can the wind industry best benefit from this technology?
Topic 3: improving simulations and modelling with regards to levels of uncertainty
- How to set a modelling hierarchy based on Uncertainty Quantification?
Topic 4: forecasting
- What are the barriers to improving the accuracy of forecasts?
- Do upwind wind speed measurements improve accuracy?
- For power trading we need to know the demand, where is the industry?
Topic 5: wakes
- Can wake steering improve production?
- Do we need to include blockage effects due to closely spaced turbines?
- Are turbines with large rotors on short towers under performing?
Additional information
Deadline for abstract submission is 11 January 2019.
