In this study we analyze data of hourly average wind speed and direction measured at three different sampling stations located in Sicily (Italy) and provide a statistical model for their joint probability density function. Singly truncated from below Normal Weibull mixture distribution and a linear combination of von Mises distributions are used to model wind speed and direction. Sites with heterogeneous local conditions (prevailing wind direction and/or elevation) have been considered in order to investigate the reliability of the model here taken into consideration.
Basile, S., Burlon, R., Morales, F. (2015). Joint Probability Distributions for Wind Speed and Direction. A case study in Sicily. In 2015 International Conference on Renewable Energy Research and Applications (ICRERA) (pp. 1591-1596) [10.1109/ICRERA.2015.7418675].
Joint Probability Distributions for Wind Speed and Direction. A case study in Sicily
BASILE, Salvatore
;BURLON, Riccardo;MORALES, Francesca
2015-01-01
Abstract
In this study we analyze data of hourly average wind speed and direction measured at three different sampling stations located in Sicily (Italy) and provide a statistical model for their joint probability density function. Singly truncated from below Normal Weibull mixture distribution and a linear combination of von Mises distributions are used to model wind speed and direction. Sites with heterogeneous local conditions (prevailing wind direction and/or elevation) have been considered in order to investigate the reliability of the model here taken into consideration.
| File | Dimensione | Formato | |
|---|---|---|---|
|
icrera_2015_07418675.pdf
Solo gestori archvio
Descrizione: articolo principale
Tipologia:
Versione Editoriale
Dimensione
290.89 kB
Formato
Adobe PDF
|
290.89 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
