Wind farm efficiency assessed by WRF with a statistical-dynamical - - PowerPoint PPT Presentation
Wind farm efficiency assessed by WRF with a statistical-dynamical - - PowerPoint PPT Presentation
Wind farm efficiency assessed by WRF with a statistical-dynamical approach P.J.H. Volker, A.N. Hahmann, J. Badger, and H. Srensen DTU Wind Energy (Ris Campus) Motivation Adams and Keith, Environ Res Lett , 2013 The results suggest that
Motivation
Adams and Keith, Environ Res Lett, 2013 “The results suggest that the maximum energy that can be extracted by turbine arrays at these scales is about 1 W m-2” Miller et al., Proc Natl Acad Sci, 2015 “. . . expanding wind farms to large scales will limit generation rates, thereby constraining mean large-scale generation rates to about 1 W m-2 even in windy regions”
Method of Adams and Keith 2013
They use the WRF model to simulate:
- Actual Power Density (APD) (wake effects with wind farm parametrisation)
- Reference Power Density (RPD) (no wake effects)
Simulations over the Great plains in winter/summer 2006 The Power Density (PD) in function of
- Wind farm size 103 – 105 km2
- Turbine density 0.25 – 16 km−2
Result of Adams and Keith 2013
Actual (wakes) versus Reference or expected (no wakes) Power Density (PD) APD/RPD is the degree to which the turbine drag reduces the wind speed It seemed that the APD converges to around 1 W m-2
Consequence
Current: the 20 km2
- ffshore
wind farm Horns Rev I
- 8 MWi km-2
has a annual power density of up-to 3.98 W m-2 Future: very large
- 104- 105 km2 ∼ Dogger Bank
- wind farms would
have a power production per area of 25% compared to Horns Rev I
Experimental set-up of WRF
4 wind farm sizes
- Small
(Horns Rev I)
- Medium
(London Array)
- Large
(Dogger Bank)
- Very large (Iowa)
3 turbine spacings
- 5.25 D0
- 7 D0
- 10.5 D0
2 WF schemes
- WRF-WF
Fitsch et al.2012
- EWP
Volker et al.2015 Number of 2 MW turbines
Small Medium Large Very Large Wide (10.5 D0) 6 × 6 22 × 22 202 × 202 402 × 402 Intermediate (7 D0) 9 × 9 33 × 33 303 × 303 603 × 603 Narrow (5.25 D0) 12 × 12 44 × 44 404 × 404 804 × 804
Volker et al.: Prospects for generating electricity by large onshore and
- ffshore wind farms Environ. Res. Lett. 2017
Wind Conditions
For each wind farm we simulated a range of idealised case experiments between the turbine cut-in and cut-out wind speed. From the set of simulations we define 3 wind conditions Region A (land) Moderate winds Great Plains Region B (sea) Strong winds North Sea Region C (sea) Very strong winds Strait of Magellan
Region A
0.00 0.05 0.10 0.15 0.20 10 20 30 U
- m s−1
Frequency
Region B
0.00 0.05 0.10 0.15 0.20 10 20 30 U
- m s−1
Frequency
Region C
0.00 0.05 0.10 0.15 0.20 10 20 30 U
- m s−1
Frequency
a b c
Wind speed reduction in very large wind farms
At equilibrium wind speed a balance between the drag force f(Ct, U) and turbulent influx of momentum
EWP WRF-WF Region A Region B Region C
4 6 8 10 12 50 100 150 Distance (km) Uh(ms−1)
- Offshore there is less mixing and equilibrium is reached much later
- Equilibrium wind speed remains higher with better wind conditions
Actual vs Reference PD for very large wind farms
1Wm−2 Adams and Keith (Great Plains) Parametrisatrion Approach EWP WRF-WF Region A
1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 RPD
- Wm−2
APD
- Wm−2
- In the Great Plains also 1 W m-2 (differences are due to parametrisation)
Actual vs Reference PD for very large wind farms
1Wm−2 2Wm−2 Adams and Keith (Great Plains) Parametrisatrion Approach EWP WRF-WF Region A Region B
1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 RPD
- Wm−2
APD
- Wm−2
- In the Great Plains also 1 W m-2 (differences are due to parametrisation)
Actual vs Reference PD for very large wind farms
1Wm−2 2Wm−2 3.5Wm−2 Adams and Keith (Great Plains) Parametrisatrion Approach EWP WRF-WF Region A Region B Region C
1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 RPD
- Wm−2
APD
- Wm−2
- In the Great Plains also 1 W m-2 (differences are due to parametrisation)
- However: In regions with very strong winds the APD is around 3.5 W m-2
⇒ The APD is not limited, but depends strongly on wind (and roughness) conditions
Wind farm efficiency (APD/RPD)
25 50 75 100 102 103 104 105 Wind farm area Efficiency (%)
Region A
Region A: A Very large wind farm (160.000 turbines) produces 700 TWh Region B: A cluster of nine medium wind farms (total 9.801 turbines) 77 TWh Region C: A small wind farm 1 TWh (50% more than Horns Rev I). A very large wind farm would produce 1.7 PWh
Wind farm efficiency (APD/RPD)
25 50 75 100 102 103 104 105 Wind farm area Efficiency (%) 25 50 75 100 102 103 104 105 Wind farm area Efficiency (%)
Region A Region B
Region A: A Very large wind farm (160.000 turbines) produces 700 TWh Region B: A cluster of nine medium wind farms (total 9.801 turbines) 77 TWh Region C: A small wind farm 1 TWh (50% more than Horns Rev I). A very large wind farm would produce 1.7 PWh
Wind farm efficiency (APD/RPD)
25 50 75 100 102 103 104 105 Wind farm area Efficiency (%) 25 50 75 100 102 103 104 105 Wind farm area Efficiency (%) 25 50 75 100 102 103 104 105 Wind farm area Efficiency (%)
Region A Region B Region C
Region A: A Very large wind farm (160.000 turbines) produces 700 TWh Region B: A cluster of nine medium wind farms (total 9.801 turbines) 77 TWh Region C: A small wind farm 1 TWh (50% more than Horns Rev I). A very large wind farm would produce 1.7 PWh
Conclusion
Power Density
- The power density is not limited to 1 W m−2 as previously assumed
- Instead it depends also for very large wind farms on the local
up-stream wind and surface conditions Wind farm efficiency/production
- In onshore regions with moderate wind conditions very large wind
farms can significantly contribute to the electricity production
- Offshore, clusters of smaller wind farms are more efficient
- However, in regions with very strong winds very large wind farms
become also efficient
(II) Efficiency of a wind farm cluster in 2 regions
Can the overall cluster efficiency be improved by separating the same number of turbines on fixed area (3658 km2) in 2 wind farms? Separation in km: S00 S10 S20 S30 WF1 WF2 WF1 WF2 . . . Density 1 with 9145 turbines:
- S00 5.0 W m-2
- S10 6.0 W m-2
- S20 7.5 W m-2
- S30 10 W m-2
Density 2 with 12802 turbines:
- S00
7.0 W m-2
- S10
8.4 W m-2
- S20 10.5 W m-2
- S30 14.0 W m-2
Wind speed reduction for different WF spacings
S00
6.5 7.0 7.5 8.0 8.5 9.0 25 50 75 Distance (km) Uh(ms−1)
Hub-height wind speed
Highest efficiency is a balance between:
- wind speed reduction in the wind farms f (turbine density)
- wind speed recovery between the wind farms
Wind speed reduction for different WF spacings
S00 S10
6.5 7.0 7.5 8.0 8.5 9.0 25 50 75 Distance (km) Uh(ms−1)
Hub-height wind speed
Highest efficiency is a balance between:
- wind speed reduction in the wind farms f (turbine density)
- wind speed recovery between the wind farms
Wind speed reduction for different WF spacings
S00 S10 S20
6.5 7.0 7.5 8.0 8.5 9.0 25 50 75 Distance (km) Uh(ms−1)
Hub-height wind speed
Highest efficiency is a balance between:
- wind speed reduction in the wind farms f (turbine density)
- wind speed recovery between the wind farms
Wind speed reduction for different WF spacings
S00 S10 S20 S30
6.5 7.0 7.5 8.0 8.5 9.0 25 50 75 Distance (km) Uh(ms−1)
Hub-height wind speed
Question:
- Can the overall wind farm cluster efficiency be higher by separating wind farms?
Efficiency of WF1 and WF2
Region B (blue) and Region C (green)
Density 1 Density 2
0.6 0.7 0.8 10 20 30 Wind Farm separation (km) Efficiency (%)
Efficiency of up-stream WF1
Density 1 Density 2
0.85 0.90 0.95 1.00 10 20 30 Wind Farm separation (km) APD WF2/WF1 (%)
Power reduction of down-stream WF2
- The efficiency decreases with
increasing turbine density
- In region B the efficiency is always
lower than 70%, because the wind farm size is too large
- The power reduction for the 2
attached wind farms is up-to 20%
- The power reduction does not
converge to 1!
Overall efficiency for the 1st case
Single WF
- Tot. cluster
0.45 0.50 0.55 0.60 0.65 0.70 10 20 30 Wind Farm separation (km) Effciency (%)
Region B
Single WF
- Tot. cluster
0.65 0.70 0.75 0.80 10 20 30 Wind Farm separation (km) Effciency (%)
Region C
- The chosen wind farm is to large for the Region B wind conditions,
since the efficiency is relatively low
- In the experiments with the lower installed capacity a wind farm