DocumentCode :
3045899
Title :
Stochastic particle method applied to local wind simulation
Author :
Rousseau, Antoine ; Bernardin, Frédéric ; Bossy, Mireille ; Salameh, Tamara ; Drobinski, Philippe
Author_Institution :
OMEGA Project, Sophia Antipolis
fYear :
2007
fDate :
21-23 May 2007
Firstpage :
526
Lastpage :
528
Abstract :
A Lagrangian stochastic model is introduced in order to describe the local behavior of the wind. Based on some MM5 data, and thanks to particles driven by stochastic differential equations, we propose a numerical method allowing to improve the MM5 simulations at small scales, without requiring too much additional computational cost.
Keywords :
computational fluid dynamics; differential equations; stochastic processes; wind power; Lagrangian stochastic model; MM5 simulations; local wind simulation; stochastic differential equations; stochastic particle method; Computational efficiency; Computational modeling; Differential equations; Fluid dynamics; Frequency; IEEE web sites; Lagrangian functions; Predictive models; Stochastic processes; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Clean Electrical Power, 2007. ICCEP '07. International Conference on
Conference_Location :
Capri
Print_ISBN :
1-4244-0632-3
Electronic_ISBN :
1-4244-0632-3
Type :
conf
DOI :
10.1109/ICCEP.2007.384265
Filename :
4272436
Link To Document :
بازگشت