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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3045899