Upload
jean-claude-meteodyn
View
263
Download
0
Embed Size (px)
Citation preview
1. C. Albrecht, D. Delaunay, A. Grözner, M. Kohiert et L. Pauscher, «Atmospheric
stability: general classification and simulation in Meteodyn WT,» in EWEA, 2014.
2. A. Grachev, E. Andreas, C. Fairall, P. Guest et P. Persson, «The critical richardson
number and limits of applicability of local similarity theory in the stable boundary
layer,» Boundary Layer Meteorology, vol. 147, pp. 51-82, 2013.
3. P. J. Hurley, «An evaluation of several turbulence shemes for the prediction of mean
and turbulent fields in complex terrain,» Boundary Layer Meteorology , vol. 83, n° 1,
pp. 43-73, 1997.
4. S. S. Zilitinkevich, T. Eleperin, N. Kleeorin, I. Rogachevskii, V. L'vov, I. Esau et R.
Kouznetsov, «Turbulence closure for stably stratified flows: local and non-local
formulations,» in 8th European conference on applied climatology, Zürich,
Switzerland, 2010.
Up to now CFD computations in wind resource assessment mainly focused on wind
statistics treatment, and then considered average thermal structure of the atmosphere.
With an increasing demand for a more accurate description of these statistics, including
time series, there is a need for considering more specific situations, and particularly
stable thermal stratifications (ref 1). We present here a new turbulence model allowing
to consider the strongly stable cases in CFD computations. This model is implemented
in Meteodyn WT 5.2
Applying a k-L multi-layer model in CFD computations is a promising way to reproduce
behavior of the Stable Boundary Layer, especially when the height of the SBL becomes
inferior to the wind turbine hub height. This is an important step forward for a better
consideration of the atmospheric stability in wind resource assessment.
Abstract
Objectives
Conclusions
References
The objective of this work is to develop a new turbulence model for the Stable Boundary
Layer, by considering measurements at two sites with well documented measurements
up to 200 m height above ground.
A new approach for CFD modelling in stable situations
Figure 2: Meteodyn WT simulations of wind profile at Cabauw using the new turbulent multi-layer viscosity model
The main effect of stable stratification in the atmospheric boundary layer is to reduce the
vertical turbulent exchanges. In CFD computations these exchanges are modelled via
the concept of turbulent viscosity, which is the product of a wind speed scale and a
turbulent length scale. The model is focusing on the determination of the length scale
vertical profile, allowing a multi-layer approach, adapted to stable situations.
The model considers 3 layers: The Monin-Obuknov similarity theory (MOST) layer, the
local z-less model, and the layer above the SBL (ref 1, 2,3).
A first calibration has been made with 3 years data at Cabauw (NL) (flat open terrain),
with data sorted according to a Stability Index (z1= 10 m and z2= 80 m), given by:
A verification has been conducted on a more complex site at Rödeser Berg (hilly and
forested) with 1 year data sorted according to the measured Monin-Obukhov length L at
40 m height. A dense forest lies in the South-West and South sectors. In the East sector,
the roughness is more moderate.
2
1212
1212
1 )/())()((
)/())()((
zzzVzV
zzzzgSI
S03 S04 S05 S06 S07 S08 S09 S10 S11 S12 S13 S14SI range 0.00 - 0.01 0.01-0.05 0.05-0.10 0.10-0.15 0.15-0.20 0.20-0.25 0.25-0.32 0.32-0.40 0.40-0.50 0.50-0.70 0.70-1.00 > 1.00
frequency 7.3% 9.4% 14.4% 11.2% 9.0% 6.9% 6.7% 4.5% 3.4% 3.1% 1.6% 1.9%
power contribution 9.1% 24.1% 21.4% 9.6% 6.0% 4.0% 3.5% 2.1% 1.4% 1.0% 0.4% 0.2%
(V80+V140)/2 (m/s) 8.1 11.3 9.5 8.0 7.4 7.1 6.8 6.5 6.2 5.8 5.2 4.3
Table 1: SI classes and characteristics at Cabauw (wind direction: 255-285 deg)
Considering thermal stratification in
CFD modelling for wind resource assessment Bin FU1, Didier DELAUNAY2, Ru LI2
1 METEODYN, 48 avenue Dong Zhi Men Wai Jie, 100 027 Beijing, China 2 METEODYN, 14 bd Winston Churchill, 44100 Nantes, France
Poster
24
Comparison with measurements at Rödeser Berg
Comparison with measurements at Cabauw
Figure 1: Views of Rödeser Berg and Cabauw sites
Figure 6: Meteodyn WT simulations of wind profile and TKE in Rödeser Berg (East Direction)
Figure 5: Meteodyn WT simulations of wind profile and TKE in Rödeser Berg (South Direction)
Acknowledgements
In the East direction, the wind speed gradients increase according to the thermal stability
(L decrease) as computed in Meteodyn WT, but the measured TKE are less dependant
on stability than expected in the computations. Calibrations on the dissipation terms in
the TKE equation will have to reduce this discrepancy.
In the S direction, the surface friction generated by the tree weakens the thermal effect
for the wind speed gradient, but the TKE is affected by stability as expected. Globally, the
results of the Meteodyn WT computations are quite satisfactory.
We acknowledge Anselm Grötzner (Cube Engineering) for his help for Cabauw data
analysis and Tobias Klaas (IWES Fraunhöfer) for the data at Röderser Berg.
Rödeser Berg Cabauw
Figure 3: Meteodyn WT simulations of TKE at Cabauw using the new turbulent multi-layer viscosity model
Presenters
The results show the good agreements between Meteodyn WT and measurements for the
different stability classes. The wind speed gradients increase and the turbulence kinetic
energies (TKE) decrease according to the thermal stability (L decrease).
FU BIN
Director of Meteodyn Beijing
Engineer Univ. of Xi’an Jiaotong
Email: [email protected]
Julien BERTHAUT-GERENTES
Innovation&Research
Project manager
PhD Ecole Centrale Lyon
Email: julien.berthaut-gerentes
@meteodyn.com