دانلود مقاله ISI انگلیسی شماره 57134
ترجمه فارسی عنوان مقاله

ویژگی قابل اعتماد بودن منابع انرژی باد در جنوب آفریقا

عنوان انگلیسی
Characterizing wind power resource reliability in southern Africa
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
57134 2016 9 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Energy, Volume 161, 1 January 2016, Pages 565–573

ترجمه کلمات کلیدی
انرژی باد، متقابل آفریقا، آفریقای جنوبی، بازآزمایی، انرژی تجدید پذیر
کلمات کلیدی انگلیسی
Wind energy; Intermittency; Africa; South Africa; Reanalysis; Renewable energy

چکیده انگلیسی

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.