4.8 Article

Characterizing wind power resource reliability in southern Africa

Journal

APPLIED ENERGY
Volume 161, Issue -, Pages 565-573

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2015.08.069

Keywords

Wind energy; Intermittency; Africa; South Africa; Reanalysis; Renewable energy

Funding

  1. United Nations University - World Institute for Development Economic Research (UNU-WIDER)
  2. MIT Joint Program on the Science and Policy of Global Change - U.S. Department of Energy, Office of Science [DE-FG02-94ER61937, DE-FG02-08ER64597, DE-FG02-93ER61677, DE-SC0003906, DE- SC0007114, XEU-0-9920-01]
  3. U.S. Department of Energy, Oak Ridge National Laboratory [4000109855]
  4. U.S. Environmental Protection Agency [XA-83240101, PI-83412601-0, RD-83427901-0, XA-83505101-0, XA-83600001-1, UTA12-000624]
  5. U.S. National Science Foundation [AGS-0944121, EFRI-0835414, IIS-1028163, ECCS-1128147, ARC-1203526, EF-1137306, AGS-1216707, SES-0825915]
  6. U.S. National Aeronautics and Space Administration [NNX06AC30A, NNX07AI49G, NNX11AN72G, 08-SFWS-209365.MIT]
  7. U.S. Federal Aviation Administration [06-C-NE-MIT, 09-C-NE-MIT, 4103-30368]
  8. U.S. Department of Transportation [DTRT57-10-C-10015]
  9. Electric Power Research Institute [EP-P32616/C15124, EP-P8154/C4106]
  10. U.S. Department of Agriculture [58-6000-2-0099, 58-0111-9-001]
  11. U.S. Department of Energy (DOE) [DE-SC0007114, DE-SC0003906] Funding Source: U.S. Department of Energy (DOE)

Ask authors/readers for more resources

Producing electricity from wind is attractive because it provides a clean, low-maintenance power supply. However, wind resource is intermittent on various timescales, thus occasionally introducing large and sudden changes in power supply. A better understanding of this variability can greatly benefit power grid planning. In the following study, wind resource is characterized using metrics that highlight these intermittency issues; therefore identifying areas of high and low wind power reliability in southern Africa and Kenya at different time-scales. After developing a wind speed profile, these metrics are applied at various heights in order to assess the added benefit of raising the wind turbine hub. Furthermore, since the interconnection of wind farms can aid in reducing the overall intermittency, the value of interconnecting nearby sites is mapped using two distinct methods. Of the countries in this region, the Republic of South Africa has shown the most interest in wind power investment. For this reason, we focus parts of the study on wind reliability in the country. The study finds that, although mean Wind Power Density is high in South Africa compared to its neighboring countries, wind power resource tends to be less reliable than in other parts of southern Africa namely central Tanzania. We also find that South Africa's potential varies over different timescales, with higher reliability in the summer than winter, and higher reliability during the day than at night. This study is concluded by introducing two methods and measures to characterize the value of interconnection, including the use of principal component analysis to identify areas with a common signal. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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