Estimation of turbulence intensity and shear factor for diurnal and nocturnal periods with an URANS flow solver coupled with WRF

The Science of Making Torque from Wind 2014

Rodrigues, C Veiga^1 ; Palma, J.M.L.M.^1

CEsA, Centre for Wind Energy and Atmospheric Flows, Faculdade de Engenharia da Universidade Do Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal^1

关键词: Computational model;    IEC 61400-1 standard;    Monin-Obukhov similarity theory;    Neutrally stratified;    Turbulence characteristics;    Turbulence intensity;    Wall boundary condition;    Wind resource assessment;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/524/1/012115/pdf
DOI  :  10.1088/1742-6596/524/1/012115

来源: IOP

【 摘 要 】

Mesoscale results using the WRF model were downscaled from 3 km to 250 m resolution in a one-way coupling with VENTOS®/M. The results were compared against field measurements at one site comprising 4 meteorological masts, each with two sets of cup anemometers and wind vanes. The results showed that the addition of VENTOS®/M to the model chain improved the wind speed RMSE. Regarding the prediction of wind direction ambivalent results were obtained. Special attention was given to the prediction of turbulence intensity, particularly in reproducing its inverse proportionality with increasing wind speed (cf. IEC 61400-1 standard). The typical use of computational models in wind resource assessment, i.e., relying on decoupled methodologies and neutrally-stratified regimes, does not allow the representation of turbulence intensity for all wind speeds. The results obtained with VENTOS®/M were in agreement with the measured turbulence characteristics at both high and low wind speeds. Such was achieved without the coupling of any turbulence related field, relying solely on the turbulence model embedded in VENTOS®/M and its respective wall boundary conditions, based on Monin-Obukhov similarity theory. The behaviour under different stratification regimes was verified by analysing diurnal and nocturnal events separately.