Downscaling wind energy resource from mesoscale to microscale model and data assimilating field measurements

The Science of Making Torque from Wind 2012

Duraisamy, V.J.^1 ; Dupont, E.^1 ; Carissimo, B.^1

CEREA, Teaching and Research Centre in Atmospheric Environment, Ecole des Ponts/Paris-Tech, 6 Quai Watier, Chatou, cedex

78401, France^1

关键词: Computational fluid dynamics modeling;    Data assimilation techniques;    Field measurement data;    Micro scale models;    Numerical weather prediction models;    Spatial variations;    State-of-the-art techniques;    Wind resource assessment;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/555/1/012031/pdf
DOI  :  10.1088/1742-6596/555/1/012031

来源: IOP

【 摘 要 】

The main objective of this research work is to develop and evaluate several coupling methods between operational Numerical Weather Prediction (NWP) model and Computational Fluid Dynamics (CFD) model and data assimilate the field measurements into the CFD model. To address the problem of high spatial variation of the topography on the domain lateral boundaries between NWP and CFD domain boundaries, 3 methods-translation, extrapolation and Cressman interpolation are used to impose the NWP model data on the CFD domain lateral boundaries. Newtonian relaxation data assimilation technique is used to incorporate the field measurement data into the CFD simulations. These techniques are studied in a complex site located in southern France. Comparison of wind profiles between the CFD simulation, measurements and CFD simulation with data assimilation are discussed. This combination of state-of-the-art techniques in NWP, CFD, and field data assimilation will provide the basis of a more accurate wind resource assessment method.