Journal
EUROPEAN GEOSCIENCES UNION GENERAL ASSEMBLY 2017, EGU DIVISION ENERGY, RESOURCES & ENVIRONMENT (ERE)
Volume 125, Issue -, Pages 190-198Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.egypro.2017.08.179
Keywords
wind; wind gust; Kalman filters; forecasting; numerical weather prediction models; operational meteorology
Funding
- Integrated Research Programme on Wind Energy (IRPWIND) [609795]
Ask authors/readers for more resources
The continuous rise of off-shore activities such as the development of wind farms requires a reliable operational support in order to minimize cost drawbacks and secure operations during the different stages of associated projects. One of the most important parameters for this kind of analysis is wind gustiness. The objective of the study is the development of a methodology for the surface wind gust estimation based on Numerical Weather Prediction Models and statistical post processing. The obtained method has been tested over the offshore west coastline of the United States and evaluated utilizing observational data from the NOAA' s buoy network. (C) 2017 The Authors. Published by Elsevier Ltd.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available