Abstract
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) |
| Number of pages | 5 |
| Publisher | IEEE |
| Publication date | 2019 |
| ISBN (Electronic) | 978-1-5386-6903-7 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University - Riga, Latvia Duration: 12 Nov 2018 → 13 Nov 2018 |
Conference
| Conference | 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University |
|---|---|
| Country | Latvia |
| City | Riga |
| Period | 12/11/2018 → 13/11/2018 |
Keywords
- Wind atlas
- WRF
- Wind speed
- Mesoscale modelling
- Wind energy
Cite this
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Applying Numerical Weather Prediction Models to the Production of New European Wind Atlas: Sensitivity studies of the wind climate to the planetary boundary layer parametrization. / Sile, Tija; Hahmann, Andrea N.; Witha, Bjorn; Dorenkamper, Martin; Baltscheffsky, Magnus; Soderberg, Stefan.
2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE, 2019.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - Applying Numerical Weather Prediction Models to the Production of New European Wind Atlas: Sensitivity studies of the wind climate to the planetary boundary layer parametrization
AU - Sile, Tija
AU - Hahmann, Andrea N.
AU - Witha, Bjorn
AU - Dorenkamper, Martin
AU - Baltscheffsky, Magnus
AU - Soderberg, Stefan
PY - 2019
Y1 - 2019
N2 - Reliable and precise information about the wind speed climate is crucial for the development of wind energy. Meteorological processes in the mesoscale (2 – 200 km) can be represented using Numerical Weather Prediction (NWP) models such as the Weather Research and Forecast model (WRF), but before their application for creating wind energy atlases, their results and sensitivity to modelling parameters should be investigated. Here the WRF model wind speed results for the year 2015 for the Baltic Sea region are investigated, and the effect of the planetary boundary layer parametrization scheme is analyzed.
AB - Reliable and precise information about the wind speed climate is crucial for the development of wind energy. Meteorological processes in the mesoscale (2 – 200 km) can be represented using Numerical Weather Prediction (NWP) models such as the Weather Research and Forecast model (WRF), but before their application for creating wind energy atlases, their results and sensitivity to modelling parameters should be investigated. Here the WRF model wind speed results for the year 2015 for the Baltic Sea region are investigated, and the effect of the planetary boundary layer parametrization scheme is analyzed.
KW - Wind atlas
KW - WRF
KW - Wind speed
KW - Mesoscale modelling
KW - Wind energy
U2 - 10.1109/RTUCON.2018.8659881
DO - 10.1109/RTUCON.2018.8659881
M3 - Article in proceedings
BT - 2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
PB - IEEE
ER -