Wind Energy
Within the KAUST-funded project entitled “Space-time Statistical Models for Wind Field Forecasting with High Performance Computing” we are quantifying energy potential and relative uncertainty from wind in Saudi Arabia to enhance its renewable energy portfolio.
![Sa Wind](/assets/548066/sa_wind.jpg)
Relevant Publications:
- Giani P., Tagle F., Genton M.G., Castruccio C. and Crippa, P. (2020): Closing the gap between wind energy targets and implementation for emerging countries, Applied Energy, 269, 115085, https://doi.org/10.1016/j.apenergy.2020.115085.
- Chen, W., Castruccio, S., Genton, M.G., Crippa, P. (2018): Current and Future Estimates of Wind Energy Potential over Saudi Arabia, Journal of Geophysical Research-Atmospheres,123, doi:10.1029/2017JD028212. Link
- Tagle, F., Castruccio, S., Crippa, P., and Genton, M.G., (2018, in press): A Non-Gaussian Spatio-Temporal Model for Daily Wind Speeds Based on a Multivariate Skew-t Distribution, Journal of Time Series Analysis.
- Jeong, J., Castruccio S., Crippa, P., and Genton, M.G. (2018), Reducing storage of global wind ensembles with stochastic generators, Annals of Applied Statistics ,12, 1, 490-509.
- Wang, H., Barthelmie, R.J., Crippa, P., Doubrawa, P., Pryor, S.C. (2014), Profiles of Wind and Turbulence in the Coastal Atmospheric Boundary Layer of Lake Erie, Journal of Physics: Conference Series 524 012117, Lyngby. Link
- Barthelmie, R.J., Crippa, P., Wang, H., Smith, C. M., Krishnamurthy, R., Calhoun, R., Valyou, D., Marzocca, P., Matthiesen, D., Brown, G., and Pryor, S. C. (2014), 3D wind and turbulence characteristics or the atmospheric boundary-layer, Bulletin of the American Meteorological Society, 95, 743-756. Link