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Stochastic Particle Method Applied to Local Wind Simulation
- Source :
- ICCEP '07-International Conference for Clean Electrical Power, ICCEP '07-International Conference for Clean Electrical Power, May 2007, Capri, Italy. pp.526-528, ⟨10.1109/ICCEP.2007.384265⟩
- Publication Year :
- 2007
- Publisher :
- HAL CCSD, 2007.
-
Abstract
- International audience; 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.
- Subjects :
- Physics
[PHYS.PHYS.PHYS-FLU-DYN]Physics [physics]/Physics [physics]/Fluid Dynamics [physics.flu-dyn]
Mathematical optimization
Wind power
010504 meteorology & atmospheric sciences
business.industry
Stochastic process
Differential equation
020209 energy
Numerical analysis
02 engineering and technology
Computational fluid dynamics
01 natural sciences
[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
Stochastic differential equation
Lagrangian stochastic model
0202 electrical engineering, electronic engineering, information engineering
Applied mathematics
MM5
business
[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- ICCEP '07-International Conference for Clean Electrical Power, ICCEP '07-International Conference for Clean Electrical Power, May 2007, Capri, Italy. pp.526-528, ⟨10.1109/ICCEP.2007.384265⟩
- Accession number :
- edsair.doi.dedup.....d1f3993db33181cfbc21fd90221fce28