WindPoS in a nutshell

The computation of the wind at small scale and the estimation of its uncertainties is of particular importance for applications such as wind energy resource estimation. To this aim, we develop a new method based on the combination of an existing Numerical Weather Prediction model providing a coarse prediction, and a Lagrangian Stochastic Model adapted from a pdf method introduced by S.B. Pope for turbulent flows.

WindPoS is currently made of three blocks:

  • WindPoS-SDM, its numerical kernel. This stochastic downscaling method (SDM) requires a specific modelling of the turbulence closure, and involves various simulation techniques whose combination is totally new (such as Poisson solvers, optimal transportation mass algorithm, original Euler scheme for confined Langevin stochastic processes, and stochastic particle methods).
  • WindPoS-LAM, the package for the simulation of wind mills (LAM holds for Lagrangian Actuator Model). This package performs a Lagrangian computation of the classical actuator disk (AD) method (non rotating, rotating, BEM like), according to the spacial discretization situation (size of the farm, single wind turbine and wind tunnel case) .
  • WindPoS-CIV (Configuration Interface and Visualisation), the dedicated graphic user interface which restitutes the 3D simulation view of all WindPoS outputs (WindPoS-SDM andWindPoS-LAM, including the rendering of interactions with mills).

Summary of past activities

The WindPoS project has been supported since 2005 by the french agency for environment (ADEME) in three main stages:

2005 – 2007: Inria (MOISE and TOSCA) and LMD (Laboratoire de Météorologie Dynamique) released the first version of SDM, which was meant to be compared with MM5.

2008 – 2010: The consortium implemented an atmospheric boundary layer model. The partners were the same Inria teams, LMD and the CETE (Department from the Minister of Ecology and Transport, now called CEREMA)

2012 – 2015: This period corresponds to 2 parallel developments:

  • Collaboration with LMD/IPSL and the compagny MAIA EOLIS, for the simulation of wind power production and wind potential.
  • Collaboration with colleagues in Chile Foundation Inria Chile (in Santiago) for the simulation of wind in the vicinity of a wind turbine and wind farm.