The call for abstracts is now open.
Deadline to submit an abstract is 7 January 2019. Selected authors will be notified by mid-February.
Note to students: to facilitate participation, WindEurope may support travel and accommodation expenses (within limits) if the selected oral presentation is by a full-time student (e.g. PhD or similar).
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?
General Abstracts requirements – for all topics
- Innovative content: abstracts should contain new work, not yet published
- No commercial content please: overtly commercial abstracts will receive low ratings.
- Contribution to industry knowledge: abstracts should strive to present data or results that can contribute to bringing the industry forward.
- The correct topic must be selected to ensure correct scoring. The content of the abstract must be topic-related. It is the responsibility of the submitter to ensure that abstracts are submitted under the correct topic.
- Abstract format: plain text (no tables, graphs, charts or images) around 500 words.