Southward shift of the global wind energy resource under high carbon dioxide emissions

The use of wind energy resource is an integral part of many nations’ strategies towards realizing the carbon emissions reduction targets set forth in the Paris Agreement, and global installed wind power cumulative capacity has grown on average by 22% per year since 2006. However, assessments of wind energy resource are usually based on today’s climate, rather than taking into account that anthropogenic greenhouse gas emissions continue to modify the global atmospheric circulation. Here, we apply an industry wind turbine power curve to simulations of high and low future emissions scenarios in an ensemble of ten fully coupled global climate models to investigate large-scale changes in wind power across the globe. Our calculations reveal decreases in wind power across the Northern Hemisphere mid-latitudes and increases across the tropics and Southern Hemisphere, with substantial regional variations. The changes across the northern mid-latitudes are robust responses over time in both emissions scenarios, whereas the Southern Hemisphere changes appear critically sensitive to each individual emissions scenario. In addition, we find that established features of climate change can explain these patterns: polar amplification is implicated in the northern mid-latitude decrease in wind power, and enhanced land–sea thermal gradients account for the tropical and southern subtropical increases.Wind power for energy generation is projected to decrease in northern mid-latitudes and increase in the tropics and Southern Hemisphere, suggests an analysis of climate model simulations utilizing an industry wind turbine power curve.

[1]  K. Klink Trends and Interannual Variability of Wind Speed Distributions in Minnesota , 2002 .

[2]  David J. Sailor,et al.  Vulnerability of wind power resources to climate change in the continental United States , 2002 .

[3]  Rozenn Wagner,et al.  Accounting for the speed shear in wind turbine power performance measurement , 2011 .

[4]  Julie K. Lundquist,et al.  Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data , 2014 .

[5]  El Niño stills winter winds across the southern Canadian Prairies , 2009 .

[6]  Julie K. Lundquist,et al.  Data Clustering Reveals Climate Impacts on Local Wind Phenomena , 2012 .

[7]  R. Barthelmie,et al.  Assessing climate change impacts on the near-term stability of the wind energy resource over the United States , 2011, Proceedings of the National Academy of Sciences.

[8]  Mathieu Vrac,et al.  Assessing climate change impacts on European wind energy from ENSEMBLES high-resolution climate projections , 2014, Climatic Change.

[9]  E. Chang,et al.  CMIP5 multimodel ensemble projection of storm track change under global warming , 2012 .

[10]  M. Hart,et al.  Climate change implications for wind power resources in the Northwest United States , 2008 .

[11]  C. L. Archer,et al.  Evaluation of global wind power , 2005 .

[12]  K. Klink Trends in mean monthly maximum and minimum surface wind speeds in the coterminous United States, 1961 to 1990 , 1999 .

[13]  L. Shaffrey,et al.  How large are projected 21st century storm track changes? , 2012 .

[14]  Julie K. Lundquist,et al.  Mesoscale Influences of Wind Farms throughout a Diurnal Cycle , 2012 .

[15]  Karl E. Taylor,et al.  An overview of CMIP5 and the experiment design , 2012 .

[16]  Augustin Colette,et al.  Regional climate model simulations indicate limited climatic impacts by operational and planned European wind farms , 2014, Nature Communications.

[17]  S. Pryor,et al.  Importance of the SRES in projections of climate change impacts on near-surface wind regimes , 2010 .

[18]  Jean-Noël Thépaut,et al.  Northern Hemisphere atmospheric stilling partly attributed to an increase in surface roughness , 2010 .

[19]  Diandong Ren,et al.  Effects of global warming on wind energy availability , 2010 .

[20]  D. Levinson,et al.  Influence of canyon-induced flows on flow and dispersion over adjacent plains , 1995 .

[21]  Xi Lu,et al.  Chapter 4 – Global Potential for Wind-Generated Electricity , 2017 .

[22]  J. Pinto,et al.  Future changes of wind energy potentials over Europe in a large CMIP5 multi‐model ensemble , 2015 .

[23]  R. Erhardt,et al.  Projected impacts of climate change on wind energy density in the United States , 2016 .

[24]  A. Swift,et al.  Speed and Direction Shear in the Stable Nocturnal Boundary Layer , 2009 .

[25]  Hazel E. Thornton,et al.  Using the Twentieth Century Reanalysis to assess climate variability for the European wind industry , 2014, Theoretical and Applied Climatology.

[26]  David B. Stephenson,et al.  A Multimodel Assessment of Future Projections of North Atlantic and European Extratropical Cyclones in the CMIP5 Climate Models , 2013 .

[27]  T. Schneider,et al.  Storm Track Shifts under Climate Change: What Can Be Learned from Large-Scale Dry Dynamics , 2013 .

[28]  Subimal Ghosh,et al.  Evaluation of wind extremes and wind potential under changing climate for Indian offshore using ensemble of 10 GCMs , 2016 .

[29]  A. Hall,et al.  El Niño-Southern Oscillation impacts on winter winds over Southern California , 2012, Climate Dynamics.

[30]  D. Jager,et al.  NREL National Wind Technology Center (NWTC): M2 Tower; Boulder, Colorado (Data) , 1996 .

[31]  X. Bian,et al.  Climate and climate variability of the wind power resources in the Great Lakes region of the United States , 2010 .

[32]  R. Barthelmie,et al.  Wind speed trends over the contiguous United States , 2009 .

[33]  Jimy Dudhia,et al.  Local and mesoscale impacts of wind farms as parameterized in a mesoscale NWP model , 2012 .

[34]  L. Shaffrey,et al.  Equator-to-pole temperature differences and the extra-tropical storm track responses of the CMIP5 climate models , 2014, Climate Dynamics.

[35]  K. Klink Climatological mean and interannual variance of United States surface wind speed, direction and velocity , 1999 .

[36]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[37]  J. Lundquist,et al.  Parameterization of Wind Farms in Climate Models , 2013 .

[38]  Masson-Delmotte,et al.  The Physical Science Basis , 2007 .

[39]  ENSO Impacts on Peak Wind Gusts in the United States , 2004 .

[40]  M. Handschy,et al.  Year-to-year correlation, record length, and overconfidence in wind resource assessment , 2016 .

[41]  J. Baldasano,et al.  Modelling wind resources in climate change scenarios in complex terrains , 2015 .

[42]  A. C. Fitch Climate Impacts of Large-Scale Wind Farms as Parameterized in a Global Climate Model , 2015 .

[43]  J. Lundquist,et al.  The modification of wind turbine performance by statistically distinct atmospheric regimes , 2012 .

[44]  A. Ganguly,et al.  Evaluating wind extremes in CMIP5 climate models , 2015, Climate Dynamics.

[45]  Joaquim G. Pinto,et al.  Regional Changes in Wind Energy Potential over Europe Using Regional Climate Model Ensemble Projections , 2013 .

[46]  Statistical Methods for Quantifying the Effect of the El Niño—Southern Oscillation on Wind Power in the Northern Great Plains of the United States , 2007 .