Call for abstracts
Siblings:
Day one, 8 SeptemberDay two, 9 SeptemberDay three, 10 SeptemberProgramme committeeTimeline
The call for abstracts is closed.
The outcome of the call for abstracts will be communicated by the end of April 2021. This edition of the workshops will bring together the experts of Analysis of Operating Wind Farms, Forecasting and Resource Assessment. Some sessions will also address topics on artificial intelligence and digitalisation strategies.
General requirements – for all topics
- Innovative content: abstracts should contain new work, not yet published.
- No commercial content please: overtly commercial abstracts will be rejected.
- Contribution to industry knowledge: abstracts should strive to present data or results that can contribute to bringing the industry forward.
- The correct topic should 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. The programme committee is aware that some of the topics might overlap with one and another, it will be taken into account when reviewing and during the build-up of the programme. In the meantime, please select the category that would be closer to your abstract.
- 500 words maximum per abstract
Topics
Resource Assessment
- Topic 1: Uncertainty in data analysis and processing
- Topic 2: Measurements
- Topic 3: Improving simulations and modelling with regards to levels of uncertainty
- Topic 4: Effects of wind farms and turbines on flow and meteorology (Wakes & blockage)
- Topic 5: Advancement in Wind Atlas, datasets and tools
- Topic 6: Impacts of Climate Change on Resource and extremes
- Topic 7: Advances in modelling across scales
- Topic 8: Specific consideration for resource assessment for Floating Wind
Analysis of Operating Wind Farms
- Topic 1: Control strategies
- Topic 2: Noise and other curtailment strategies
- Topic 3: Birds & Bats collision deterrent systems
- Topic 4: Innovative Control Strategies
- Topic 5: Predictive maintenance of operating assets
- Topic 6: Lifecycle assessment using SCADA data
All about Artificial Intelligence and Data, transversal topics
- Topic 1: Artificial intelligence, business models and forecasting
- Topic 2: Wind projects business model decisions (including permitting issues)
- Topic 3: Wind power forecasting and optimised use of forecasts in applications