Letter | Published:

Geophysical limits to global wind power

Nature Climate Change volume 3, pages 118121 (2013) | Download Citation

Abstract

There is enough power in Earth’s winds to be a primary source of near-zero-emission electric power as the global economy continues to grow through the twenty-first century. Historically, wind turbines are placed on Earth’s surface, but high-altitude winds are usually steadier and faster than near-surface winds, resulting in higher average power densities1. Here, we use a climate model to estimate the amount of power that can be extracted from both surface and high-altitude winds, considering only geophysical limits. We find wind turbines placed on Earth’s surface could extract kinetic energy at a rate of at least 400 TW, whereas high-altitude wind power could extract more than 1,800 TW. At these high rates of extraction, there are pronounced climatic consequences. However, we find that at the level of present global primary power demand ( 18 TW; ref. 2), uniformly distributed wind turbines are unlikely to substantially affect the Earth’s climate. It is likely that wind power growth will be limited by economic or environmental factors, not global geophysical limits.

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References

  1. 1.

    & Global assessment of high-altitude wind power. Energies 2, 307–319 (2009).

  2. 2.

    US Energy Information Administration. International energy statistics database. Accessed May 2012; available at www.eia.gov/ies.

  3. 3.

    , & Sensitivity of the latitude of the surface westerlies to surface friction. J. Atmos. Sci. 64, 2899–2915 (2007).

  4. 4.

    et al. The influence of large-scale wind power on global climate. Proc. Natl Acad. Sci. USA 101, 16115–16120 (2004).

  5. 5.

    & Potential climatic impacts and reliability of very large-scale wind farms. Atmos. Chem. Phys. 10, 2053–2061 (2010).

  6. 6.

    & On the climate impact of surface roughness anomalies. J. Atmos. Sci. 65, 2215–2234 (2008).

  7. 7.

    , & Estimating maximum global land surface wind power extractability and associated climatic consequences. Earth Syst. Dynam. 2, 1–12 (2011).

  8. 8.

    , & Jet stream wind power as a renewable energy resource: Little power, big impacts. Earth Syst. Dynam. 2, 201–212 (2011).

  9. 9.

    & Heating and kinetic energy dissipation in the NCAR community atmosphere model. J. Clim. 16, 3877–3887 (2003).

  10. 10.

    et al. Impacts of wind farms on land surface temperature. Nature Clim. Change 2, 539–543 (2012).

  11. 11.

    An experimental study of thermal convection in a rotating liquid. Phil. Trans. R. Soc. Lond. A 250, 441–478 (1958).

  12. 12.

    & A comparative study of rapidly and slowly rotating dynamical regimes in a terrestrial general circulation model. J. Atmos. Sci. 44, 973–986 (1987).

  13. 13.

    & Numerical general circulation experiments of sensitivity to earth rotation rate. Clim. Dynam. 19, 467–483 (2002).

  14. 14.

    The influence of the earth’s rotation rate on the general circulation of the atmosphere. J. Atmos. Sci. 36, 1392–1408 (1979).

  15. 15.

    et al. Description of the NCAR Community Atmosphere Model (CAM 3.0) Technical Report, (National Center for Atmospheric Research, 2004).

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Acknowledgements

We wish to thank L. Cao for his help in configuring and running CAM and C. Doutriaux, P. Caldwell and K. Taylor for useful discussions. This work was performed under the auspices of the US Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

Author information

Affiliations

  1. Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, PO Box 808, L-103 Livermore, California 94551, USA

    • Kate Marvel
  2. Carnegie Institution Department of Global Ecology, 260 Panama Street, Stanford, California 94305, USA

    • Ben Kravitz
    •  & Ken Caldeira

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Contributions

K.M. and K.C. designed the study. K.M. prepared and performed the simulations. K.M., K.C. and B.K. analysed the data. K.M. and K.C. wrote the paper with contributions from B.K.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Kate Marvel.

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DOI

https://doi.org/10.1038/nclimate1683

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