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Potential contribution of wind energy to climate change mitigation

Author

Listed:
  • R. J. Barthelmie

    (Sibley School of Mechanical and Aerospace Engineering, Cornell University)

  • S. C. Pryor

    (Cornell University)

Abstract

The increased use of wind turbines for power generation could play an important role in climate change mitigation efforts. This study shows that, assuming greenhouse gas emissions are kept in check and energy-use efficiency increases, crossing the 2 °C warming threshold could be significantly delayed or even avoided altogether depending on how aggressively wind energy is taken up over coming decades.

Suggested Citation

  • R. J. Barthelmie & S. C. Pryor, 2014. "Potential contribution of wind energy to climate change mitigation," Nature Climate Change, Nature, vol. 4(8), pages 684-688, August.
    • Handle: RePEc:nat:natcli:v:4:y:2014:i:8:d:10.1038_nclimate2269
    DOI: 10.1038/nclimate2269
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    Citations

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    Cited by:

    1. Zhuo Chen & Wei Li & Junhong Guo & Zhe Bao & Zhangrong Pan & Baodeng Hou, 2020. "Projection of Wind Energy Potential over Northern China Using a Regional Climate Model," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
    2. Franklyn Kanyako & Erin Baker, 2021. "Uncertainty analysis of the future cost of wind energy on climate change mitigation," Climatic Change, Springer, vol. 166(1), pages 1-17, May.
    3. Wiser, Ryan & Bolinger, Mark & Heath, Garvin & Keyser, David & Lantz, Eric & Macknick, Jordan & Mai, Trieu & Millstein, Dev, 2016. "Long-term implications of sustained wind power growth in the United States: Potential benefits and secondary impacts," Applied Energy, Elsevier, vol. 179(C), pages 146-158.
    4. Momeni, Farhang & Sabzpoushan, Seyedali & Valizadeh, Reza & Morad, Mohammad Reza & Liu, Xun & Ni, Jun, 2019. "Plant leaf-mimetic smart wind turbine blades by 4D printing," Renewable Energy, Elsevier, vol. 130(C), pages 329-351.
    5. Gao, Yang & Ma, Shaoxiu & Wang, Tao, 2019. "The impact of climate change on wind power abundance and variability in China," Energy, Elsevier, vol. 189(C).
    6. Yip, Chak Man Andrew & Gunturu, Udaya Bhaskar & Stenchikov, Georgiy L., 2016. "Wind resource characterization in the Arabian Peninsula," Applied Energy, Elsevier, vol. 164(C), pages 826-836.
    7. Zhihao Shang & Quan Wen & Yanhua Chen & Bing Zhou & Mingliang Xu, 2022. "Wind Speed Forecasting Using Attention-Based Causal Convolutional Network and Wind Energy Conversion," Energies, MDPI, vol. 15(8), pages 1-23, April.
    8. Bo Su & Cunde Xiao & Deliang Chen & Dahe Qin & Yongjian Ding, 2019. "Cryosphere Services and Human Well-Being," Sustainability, MDPI, vol. 11(16), pages 1-23, August.
    9. Duan, Hong-Bo & Zhang, Gu-Peng & Zhu, Lei & Fan, Ying & Wang, Shou-Yang, 2016. "How will diffusion of PV solar contribute to China׳s emissions-peaking and climate responses?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1076-1085.
    10. Lantz, Eric & Mai, Trieu & Wiser, Ryan H. & Krishnan, Venkat, 2016. "Long-term implications of sustained wind power growth in the United States: Direct electric system impacts and costs," Applied Energy, Elsevier, vol. 179(C), pages 832-846.
    11. Akdemir, Kerem Ziya & Kern, Jordan D. & Lamontagne, Jonathan, 2022. "Assessing risks for New England's wholesale electricity market from wind power losses during extreme winter storms," Energy, Elsevier, vol. 251(C).
    12. Wiser, Ryan & Millstein, Dev, 2020. "Evaluating the economic return to public wind energy research and development in the United States," Applied Energy, Elsevier, vol. 261(C).
    13. Subtil Lacerda, Juliana & van den Bergh, Jeroen C.J.M., 2020. "Effectiveness of an ‘open innovation’ approach in renewable energy: Empirical evidence from a survey on solar and wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    14. Wang, Meina & Ullrich, Paul & Millstein, Dev, 2018. "The future of wind energy in California: Future projections with the Variable-Resolution CESM," Renewable Energy, Elsevier, vol. 127(C), pages 242-257.
    15. Guo, Yi & Ming, Bo & Huang, Qiang & Liu, Pan & Wang, Yimin & Fang, Wei & Zhang, Wei, 2022. "Evaluating effects of battery storage on day-ahead generation scheduling of large hydro–wind–photovoltaic complementary systems," Applied Energy, Elsevier, vol. 324(C).
    16. Zhang, Xiaochun & Ma, Chun & Song, Xia & Zhou, Yuyu & Chen, Weiping, 2016. "The impacts of wind technology advancement on future global energy," Applied Energy, Elsevier, vol. 184(C), pages 1033-1037.
    17. Hamilton, Nicholas E. & Howard, Bahareh Sara & Diesendorf, Mark & Wiedmann, Thomas, 2017. "Computing life-cycle emissions from transitioning the electricity sector using a discrete numerical approach," Energy, Elsevier, vol. 137(C), pages 314-324.
    18. Sébastien Le Fouest & Karen Mulleners, 2024. "Optimal blade pitch control for enhanced vertical-axis wind turbine performance," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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