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A global wind farm potential index to increase energy yields and accessibility

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  • Jung, Christopher
  • Schindler, Dirk

Abstract

The preconditions for wind farm installation and operation are high energy yields and accessibility. However, so far, no attempts were made to develop a global scale index integrating energy yields and accessibility of wind farms. Thus, the goal of this study was to create a universally applicable wind farm potential index that enables finding productive and accessible wind farm sites around the world. The wind farm potential index was developed at a very high horizontal resolution (2000 m × 2000 m) using the Global Wind Speed Model and comprehensive land use data. The wind farm capacity factor's global pattern was estimated based on Kappa and Wakeby distributions, and a generic 3.3 MW wind turbine power curve yielding the resource potential index. The geographical potential index integrates 16 geographical restrictions, including the accessibility to the power grid. The correlation coefficients between the resource potential index and geographical potential index were below 0.10 in many countries (61%). The areas with high resource potential and geographical potential were often divergent, e.g., in areas with poorly developed infrastructure. Applying the new wind farm potential index allows a global, consistent assessment of areas suitable for installing and operating wind farms.

Suggested Citation

  • Jung, Christopher & Schindler, Dirk, 2021. "A global wind farm potential index to increase energy yields and accessibility," Energy, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:energy:v:231:y:2021:i:c:s0360544221011713
    DOI: 10.1016/j.energy.2021.120923
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    1. Sofia Spyridonidou & Dimitra G. Vagiona, 2020. "Systematic Review of Site-Selection Processes in Onshore and Offshore Wind Energy Research," Energies, MDPI, vol. 13(22), pages 1-26, November.
    2. Nayyar, Zeeshan Alam & Ali, Ahmed, 2020. "Roughness classification utilizing remote sensing techniques for wind resource assessment," Renewable Energy, Elsevier, vol. 149(C), pages 66-79.
    3. Martin, Sean & Jung, Sungmoon & Vanli, Arda, 2020. "Impact of near-future turbine technology on the wind power potential of low wind regions," Applied Energy, Elsevier, vol. 272(C).
    4. Ulazia, Alain & Sáenz, Jon & Ibarra-Berastegi, Gabriel & González-Rojí, Santos J. & Carreno-Madinabeitia, Sheila, 2019. "Global estimations of wind energy potential considering seasonal air density changes," Energy, Elsevier, vol. 187(C).
    5. Jung, Christopher & Schindler, Dirk, 2019. "The role of air density in wind energy assessment – A case study from Germany," Energy, Elsevier, vol. 171(C), pages 385-392.
    6. Jung, Christopher & Schindler, Dirk, 2019. "Wind speed distribution selection – A review of recent development and progress," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    7. Obane, Hideaki & Nagai, Yu & Asano, Kenji, 2020. "Assessing land use and potential conflict in solar and onshore wind energy in Japan," Renewable Energy, Elsevier, vol. 160(C), pages 842-851.
    8. Jain, Anjali & Das, Partha & Yamujala, Sumanth & Bhakar, Rohit & Mathur, Jyotirmay, 2020. "Resource potential and variability assessment of solar and wind energy in India," Energy, Elsevier, vol. 211(C).
    9. Miao, Haozeyu & Dong, Danhong & Huang, Gang & Hu, Kaiming & Tian, Qun & Gong, Yuanfa, 2020. "Evaluation of Northern Hemisphere surface wind speed and wind power density in multiple reanalysis datasets," Energy, Elsevier, vol. 200(C).
    10. Lopez, Anthony & Mai, Trieu & Lantz, Eric & Harrison-Atlas, Dylan & Williams, Travis & Maclaurin, Galen, 2021. "Land use and turbine technology influences on wind potential in the United States," Energy, Elsevier, vol. 223(C).
    11. Leonie Grau & Christopher Jung & Dirk Schindler, 2017. "On the Annual Cycle of Meteorological and Geographical Potential of Wind Energy: A Case Study from Southwest Germany," Sustainability, MDPI, vol. 9(7), pages 1-11, July.
    12. Eichhorn, Marcus & Masurowski, Frank & Becker, Raik & Thrän, Daniela, 2019. "Wind energy expansion scenarios – A spatial sustainability assessment," Energy, Elsevier, vol. 180(C), pages 367-375.
    13. Xu, Ye & Li, Ye & Zheng, Lijun & Cui, Liang & Li, Sha & Li, Wei & Cai, Yanpeng, 2020. "Site selection of wind farms using GIS and multi-criteria decision making method in Wafangdian, China," Energy, Elsevier, vol. 207(C).
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