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Stochastic Lagrangian Approach for Wind Farm Simulation

  • Mireille BossyEmail author
  • Aurore Dupré
  • Philippe Drobinski
  • Laurent Violeau
  • Christian Briard
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 254)

Abstract

We present a stochastic Lagrangian approach for atmospheric boundary layer simulation. Based on a turbulent-fluid-particle model, a stochastic Lagrangian particle approach could be an advantageous alternative for some applications, in particular in the context of down-scaling simulation and wind farm simulation. This paper presents two recent advances in this direction, first the analysis of an optimal rate of convergence result for the particle approximation method that grounds the space discretisation of the Lagrangian model, and second a preliminary illustration of our methodology based on the simulation of a Zephyr ENR wind farm of six turbines.

Keywords

Stochastic Lagrangian models Numerical analysis Wind farm simulation 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Mireille Bossy
    • 1
    Email author
  • Aurore Dupré
    • 2
  • Philippe Drobinski
    • 2
  • Laurent Violeau
    • 1
  • Christian Briard
    • 3
  1. 1.Université Côte d’Azur, InriaSophia AntipolisFrance
  2. 2.LMD/IPSL, École polytechniqueUniversité Paris Saclay, ENS, PSL Research University, Sorbonne Universités, UPMC Univ Paris 06, CNRSPalaiseauFrance
  3. 3.Zephyr ENRSaint-AvertinFrance

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