Characterizing wind power resource reliability in southern Africa
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DOI: 10.1016/j.apenergy.2015.08.069
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Cited by:
- Hanieh Seyedhashemi & Benoît Hingray & Christophe Lavaysse & Théo Chamarande, 2021. "The Impact of Low-Resource Periods on the Reliability of Wind Power Systems for Rural Electrification in Africa," Energies, MDPI, vol. 14(11), pages 1-18, May.
- Gao, Yang & Ma, Shaoxiu & Wang, Tao & Miao, Changhong & Yang, Fan, 2022. "Distributed onshore wind farm siting using intelligent optimization algorithm based on spatial and temporal variability of wind energy," Energy, Elsevier, vol. 258(C).
- 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).
- Díaz, Santiago & Carta, José A. & Matías, José M., 2018. "Performance assessment of five MCP models proposed for the estimation of long-term wind turbine power outputs at a target site using three machine learning techniques," Applied Energy, Elsevier, vol. 209(C), pages 455-477.
- Ren, Guorui & Wan, Jie & Liu, Jinfu & Yu, Daren, 2019. "Characterization of wind resource in China from a new perspective," Energy, Elsevier, vol. 167(C), pages 994-1010.
- Li, Jiale & Wang, Xuefei & Yu, Xiong (Bill), 2018. "Use of spatio-temporal calibrated wind shear model to improve accuracy of wind resource assessment," Applied Energy, Elsevier, vol. 213(C), pages 469-485.
- Markus Gross & Vanesa Magar & Alfredo Peña, 2020. "The Effect of Averaging, Sampling, and Time Series Length on Wind Power Density Estimations," Sustainability, MDPI, vol. 12(8), pages 1-13, April.
- Gunnell, Yanni & Mietton, Michel & Touré, Amadou Abdourhamane & Fujiki, Kenji, 2023. "Potential for wind farming in West Africa from an analysis of daily peak wind speeds and a review of low-level jet dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
- Chen, J.J. & Zhuang, Y.B. & Li, Y.Z. & Wang, P. & Zhao, Y.L. & Zhang, C.S., 2017. "Risk-aware short term hydro-wind-thermal scheduling using a probability interval optimization model," Applied Energy, Elsevier, vol. 189(C), pages 534-554.
- Giani, Paolo & Tagle, Felipe & Genton, Marc G. & Castruccio, Stefano & Crippa, Paola, 2020. "Closing the gap between wind energy targets and implementation for emerging countries," Applied Energy, Elsevier, vol. 269(C).
- 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.
- Paxis Marques João Roque & Shyama Pada Chowdhury & Zhongjie Huan, 2021. "Performance Enhancement of Proposed Namaacha Wind Farm by Minimising Losses Due to the Wake Effect: A Mozambican Case Study," Energies, MDPI, vol. 14(14), pages 1-22, July.
- Boadu, Solomon & Otoo, Ebenezer, 2024. "A comprehensive review on wind energy in Africa: Challenges, benefits and recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
- Gao, Cuixia & Sun, Mei & Geng, Yong & Wu, Rui & Chen, Wei, 2016. "A bibliometric analysis based review on wind power price," Applied Energy, Elsevier, vol. 182(C), pages 602-612.
- Bouraima, Mouhamed Bayane & Ayyildiz, Ertugrul & Badi, Ibrahim & Murat, Mirac & Es, Huseyin Avni & Pamucar, Dragan, 2024. "A decision support system for assessing the barriers and policies for wind energy deployment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
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Keywords
Wind energy; Intermittency; Africa; South Africa; Reanalysis; Renewable energy;All these keywords.
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