Activities per year
Abstract
In this study we validate a model that predicts extreme wind load conditions relevant for wind turbine design. The input parameters for the model consist of 10-minute wind data, rather than high-frequency measurements that are less available. The model generally predicts lower extreme values than prescribed in the IEC wind turbine safety standard and is therefore of great interest to wind turbine manufacturers. This is the first time this extreme model is validated and the accuracy of the model predictions is estimated.
| Original language | English |
|---|---|
| Publication date | 2019 |
| Number of pages | 2 |
| Publication status | Published - 2019 |
| Event | NAWEA/WINDTECH 2019 - University of Massachusetts , Amherst , United States Duration: 14 Oct 2019 → 16 Oct 2019 https://www.naweawindtech2019.org |
Conference
| Conference | NAWEA/WINDTECH 2019 |
|---|---|
| Location | University of Massachusetts |
| Country/Territory | United States |
| City | Amherst |
| Period | 14/10/2019 → 16/10/2019 |
| Internet address |
Keywords
- Extreme events
- Design load cases
- 50-year return values
- IEC standard
- Validation
Fingerprint
Dive into the research topics of 'Can we predict short-term extreme conditions from 10-minute data only?'. Together they form a unique fingerprint.Activities
- 1 Conference presentations
-
Can we predict short term extreme conditions from 10-minute data only?
Ásta Hannesdóttir (Speaker) & Gunner Chr. Larsen (Other)
14 Oct 2019 → 17 Oct 2019Activity: Talks and presentations › Conference presentations
File