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Interaction of Climate and wind
power
Robert Vautard, IPSL-LSCE
FM Bréon, A Colette, JG Devezeaux de Lavergne, P Ruti, F Thais, I
Tobin, P Yiou
& the EURO-CORDEX modelling consortium
L Miller, N. A. Brunsell, D. B. Mechem, F Gans, A. J. Monaghan, D.
Keith and A. Kleidon
Electricity production to be
decarbonized by 2050
IPCC WG3 2014
Questions
• How does climate change impact wind power
resources?
• Does wind power development have an
impact on regional climate?
• Does wind power development have an
impact on wind resource?
Global and regional modeling
Why?
• To provide higher-resolution climate projections for impact studies
• To better describe extreme events
• To evaluate the effects of regional policies (for some issues)
Uncertainty: use ensembles of simulations
Zoom &
Downscaling
Global model (eg IPSL-CM) Regional model
EURO-CORDEX
WP6 Task 2 : Impact of +2°C global warming on energy supply
(50-150 m)
H
10 m
Elliott, 1979
UH
U
X Nominal
Power
Wind speed (m/s)
Normalized power curve
2-4
m/s
10-15
m/s
~25 m/s
Wind speed (m/s)
1- Wind vertical extrapolation 2- Turbine power output
Wind Power
Wind power computation
 Conversion 10m wind speed Wind turbine power output
Scenario 2050Current wind farms fleet
 Characteristics of current wind
turbine fleets (location, installed
power, hub height...)
(www.thewindpower.net)
 Spatialized scenarios for future wind
turbine fleet
(the CLIMIX tool : Jerez et al 2014)
(uncorrected)
𝑈 𝐻 = 𝑈.
𝐻
𝑧
1
7
Wind turbines in Europe in 2012
Source http://www.thewindpower.net
2012: 100 Gwatts, 80000
windmills
2020: x2 (C&E package)
2035: x3 (IEA outlook)
2050: x3-5 (diverse scenarios)
Scénarios for 2020 and 2050
2020: Climate & Energy Package 2050: European Climate Foundation
80% renewables
230 GWatts 440 GWatts
Spatial distributions
Use of the CLIMIX approach for 2050 (Jerez et al., 2014, RSER), EMS2014-378 Talk by S Jerez
• Optimize resource, avoid unsuitable lands, offshore near coast, no optimization yet
Impact in RCP8.5
Changes in 10m wind
speed
Changes in wind power
potential production
 Changes in wind power potential within ± 5 %
 Robust increases over Baltic Sea, Aegan Sea, Bosporus, Gilbraltar Strait, Western
Turkish coast
 Robust decreases over Atlantic Sea, Iberian Peninsula, Mediterranean Sea
Dots :
At least 80% of
models agree on
sign +
significance at the
95 % level over the
model ensemble
WP6 Task 2 : Impact of +2°C global warming on energy supply
Results based on mandatory EUROCORDEX simulations RCP4.5 merged with RCP8.5
(9 simulations)
 Changes in wind power production are within +-15 %
for all national fleets for all models
2050 Fleet and End-of-Century effect
Energy production per technology
(+2°C and +3°C)
HYDRO WIND
SOLAR
THERMOELECTRIC
IMPACT2C results
Extreme events and climate
change?
Air pollution in december 2016
Persistent anticyclonic
conditions
Sea level Pressure anomaly
Methodology
• EVENT: Min Winter Monthly mean wind over
NW Europe < Dec2016
• Use an ensemble of climate projection for
– Past period [1971-200]
– Current period [2001-2030]
– Future period [2031-2060]
• Estimate the return period of the same event
in these different climates with 11x30 years of
data
Indicator:
Minimum Monthly Winter Wind
Over NW European land areas
Change in risks?
HadGEM3-A
15 Simuls
EUROCORDEX
11 Simuls
RACMO
11 Simuls
• Ensemble of simulations
• 1971-2010 vs 2001-2030 or later
• Actual (all forcings) vs. Natural
• 3 ensembles
Results: Risk Ratios from ~1
To ~3 ; all combined 1.2 [1.0-1.5]
Impacts of WP on climate?
• No clear answer as yet
– Experiments with different models with different
parameterizations
• First study : Keith et al. (2004), using
roughness changes and idealized wind farms
distribution in a AGCM, shows regional
differences
Temperature effects in wind
warm areas
Zhou et al., 2013
Experiments with the WRF-
Turbine model
TKE
Power
Wind
Wind
Fitch et al., 2012
Adams and Keith, 2013 Online power generation & atmosphere interactions
Experiments
• 4 experiments:
• No wind farms, 2012, 2020 fleets
• WRF simulations forced by ERA-Interim 1980-
2012 (33 years)
• 50 km resolution over the EURO-CORDEX
domain
• Validation (2011-2012)
• Comparisons for scenarios
Comparaisons with electricity
network observations
IE
DKFR
DE
Data from operators, compiled from PF Bach
Impacts on temperature
Winter
Summer
Vautard et al., 2014, NCOMMS
Impact on the synoptic flow
(sea level pressure, winter)
Units: hPa
Precipitation, wind in winter
10m Wind (m/s) Precipitation (%)
Impact of regional WP
development on resource: Study
on Kansas (Miller et al., 2015)
• WRF simulations June-Sep 2001 forced with
reanalyses NARR, resolution 12 km
• Very large farm~330 km x 330 km
• Density of installed power: 0.3 W/m2 to 100
W/m2
• Comparison with a simplified method
• Turbine VESTAS V112 3 MW
Simulations
Miller et al., 2015 PNAS
Saturation around 1 W/m2
Comparaison avec autres études, méthodes
Miller et al., 2015 PNAS
Climate
Change
C L I M 4 E N E R G Y : A c o - d e s i g n e d
a p p r o a c h t o d e v e l o p a p o r t f o l i o o f
p r o d u c t s
INDICATOR
DATA
BASE
Fact sheets
Data access
Visualization
http://clim4energy.climate.copernicus.eu
Conclusions
• Effects in general small but of large scale in
both cases
• Impact of CC to reduce WP
• Limitations for the impact study: Rossby wave
excited, may require global simulations
• Limitations of extractible wind power to 1
W/m2 for large-scale wind farms

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Interaction of climate and wind power

  • 1. Interaction of Climate and wind power Robert Vautard, IPSL-LSCE FM Bréon, A Colette, JG Devezeaux de Lavergne, P Ruti, F Thais, I Tobin, P Yiou & the EURO-CORDEX modelling consortium L Miller, N. A. Brunsell, D. B. Mechem, F Gans, A. J. Monaghan, D. Keith and A. Kleidon
  • 2. Electricity production to be decarbonized by 2050 IPCC WG3 2014
  • 3. Questions • How does climate change impact wind power resources? • Does wind power development have an impact on regional climate? • Does wind power development have an impact on wind resource?
  • 4. Global and regional modeling Why? • To provide higher-resolution climate projections for impact studies • To better describe extreme events • To evaluate the effects of regional policies (for some issues) Uncertainty: use ensembles of simulations Zoom & Downscaling Global model (eg IPSL-CM) Regional model EURO-CORDEX
  • 5. WP6 Task 2 : Impact of +2°C global warming on energy supply (50-150 m) H 10 m Elliott, 1979 UH U X Nominal Power Wind speed (m/s) Normalized power curve 2-4 m/s 10-15 m/s ~25 m/s Wind speed (m/s) 1- Wind vertical extrapolation 2- Turbine power output Wind Power Wind power computation  Conversion 10m wind speed Wind turbine power output Scenario 2050Current wind farms fleet  Characteristics of current wind turbine fleets (location, installed power, hub height...) (www.thewindpower.net)  Spatialized scenarios for future wind turbine fleet (the CLIMIX tool : Jerez et al 2014) (uncorrected) 𝑈 𝐻 = 𝑈. 𝐻 𝑧 1 7
  • 6. Wind turbines in Europe in 2012 Source http://www.thewindpower.net 2012: 100 Gwatts, 80000 windmills 2020: x2 (C&E package) 2035: x3 (IEA outlook) 2050: x3-5 (diverse scenarios)
  • 7. Scénarios for 2020 and 2050 2020: Climate & Energy Package 2050: European Climate Foundation 80% renewables 230 GWatts 440 GWatts
  • 8. Spatial distributions Use of the CLIMIX approach for 2050 (Jerez et al., 2014, RSER), EMS2014-378 Talk by S Jerez • Optimize resource, avoid unsuitable lands, offshore near coast, no optimization yet
  • 9. Impact in RCP8.5 Changes in 10m wind speed Changes in wind power potential production  Changes in wind power potential within ± 5 %  Robust increases over Baltic Sea, Aegan Sea, Bosporus, Gilbraltar Strait, Western Turkish coast  Robust decreases over Atlantic Sea, Iberian Peninsula, Mediterranean Sea Dots : At least 80% of models agree on sign + significance at the 95 % level over the model ensemble
  • 10. WP6 Task 2 : Impact of +2°C global warming on energy supply Results based on mandatory EUROCORDEX simulations RCP4.5 merged with RCP8.5 (9 simulations)  Changes in wind power production are within +-15 % for all national fleets for all models 2050 Fleet and End-of-Century effect
  • 11. Energy production per technology (+2°C and +3°C) HYDRO WIND SOLAR THERMOELECTRIC IMPACT2C results
  • 12. Extreme events and climate change?
  • 13. Air pollution in december 2016
  • 15. Methodology • EVENT: Min Winter Monthly mean wind over NW Europe < Dec2016 • Use an ensemble of climate projection for – Past period [1971-200] – Current period [2001-2030] – Future period [2031-2060] • Estimate the return period of the same event in these different climates with 11x30 years of data
  • 16. Indicator: Minimum Monthly Winter Wind Over NW European land areas
  • 17. Change in risks? HadGEM3-A 15 Simuls EUROCORDEX 11 Simuls RACMO 11 Simuls • Ensemble of simulations • 1971-2010 vs 2001-2030 or later • Actual (all forcings) vs. Natural • 3 ensembles Results: Risk Ratios from ~1 To ~3 ; all combined 1.2 [1.0-1.5]
  • 18. Impacts of WP on climate? • No clear answer as yet – Experiments with different models with different parameterizations • First study : Keith et al. (2004), using roughness changes and idealized wind farms distribution in a AGCM, shows regional differences
  • 19. Temperature effects in wind warm areas Zhou et al., 2013
  • 20. Experiments with the WRF- Turbine model TKE Power Wind Wind Fitch et al., 2012 Adams and Keith, 2013 Online power generation & atmosphere interactions
  • 21. Experiments • 4 experiments: • No wind farms, 2012, 2020 fleets • WRF simulations forced by ERA-Interim 1980- 2012 (33 years) • 50 km resolution over the EURO-CORDEX domain • Validation (2011-2012) • Comparisons for scenarios
  • 22. Comparaisons with electricity network observations IE DKFR DE Data from operators, compiled from PF Bach
  • 24. Impact on the synoptic flow (sea level pressure, winter) Units: hPa
  • 25. Precipitation, wind in winter 10m Wind (m/s) Precipitation (%)
  • 26. Impact of regional WP development on resource: Study on Kansas (Miller et al., 2015) • WRF simulations June-Sep 2001 forced with reanalyses NARR, resolution 12 km • Very large farm~330 km x 330 km • Density of installed power: 0.3 W/m2 to 100 W/m2 • Comparison with a simplified method • Turbine VESTAS V112 3 MW
  • 28. Saturation around 1 W/m2 Comparaison avec autres études, méthodes Miller et al., 2015 PNAS
  • 29. Climate Change C L I M 4 E N E R G Y : A c o - d e s i g n e d a p p r o a c h t o d e v e l o p a p o r t f o l i o o f p r o d u c t s INDICATOR DATA BASE Fact sheets Data access Visualization http://clim4energy.climate.copernicus.eu
  • 30. Conclusions • Effects in general small but of large scale in both cases • Impact of CC to reduce WP • Limitations for the impact study: Rossby wave excited, may require global simulations • Limitations of extractible wind power to 1 W/m2 for large-scale wind farms