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Title: Characterizing wind power resource reliability in southern Africa

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 near-by 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.more » 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.« less
Authors:
 [1] ;  [1] ;  [1]
  1. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Publication Date:
Grant/Contract Number:
fg02-94ER61937; XA-83240101; PI-83412601-0; RD-83427901-0; XA-83505101-0; XA-83600001-1; UTA12-000624
Type:
Published Article
Journal Name:
Applied Energy
Additional Journal Information:
Journal Volume: 161; Journal Issue: C; Journal ID: ISSN 0306-2619
Publisher:
Elsevier
Research Org:
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Sponsoring Org:
USDOE Office of Science (SC)
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; Wind energy; Intermittency; Africa; South Africa; Reanalysis; Renewable energy
OSTI Identifier:
1213785
Alternate Identifier(s):
OSTI ID: 1438006

Fant, Charles, Gunturu, Bhaskar, and Schlosser, Adam. Characterizing wind power resource reliability in southern Africa. United States: N. p., Web. doi:10.1016/j.apenergy.2015.08.069.
Fant, Charles, Gunturu, Bhaskar, & Schlosser, Adam. Characterizing wind power resource reliability in southern Africa. United States. doi:10.1016/j.apenergy.2015.08.069.
Fant, Charles, Gunturu, Bhaskar, and Schlosser, Adam. 2015. "Characterizing wind power resource reliability in southern Africa". United States. doi:10.1016/j.apenergy.2015.08.069.
@article{osti_1213785,
title = {Characterizing wind power resource reliability in southern Africa},
author = {Fant, Charles and Gunturu, Bhaskar and Schlosser, Adam},
abstractNote = {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 near-by 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.},
doi = {10.1016/j.apenergy.2015.08.069},
journal = {Applied Energy},
number = C,
volume = 161,
place = {United States},
year = {2015},
month = {8}
}