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Numerical method for wind energy analysis applied to Apulia Region, Italy

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  • Milanese, Marco
  • Tornese, Ljuba
  • Colangelo, Gianpiero
  • Laforgia, Domenico
  • de Risi, Arturo

Abstract

A numerical method, named WEST (Wind Energy Study of Territory), has been developed and applied to a specific geographical area in south of Italy. This method, through actual historical meteorological and geophysical data of a territory, allows characterizing anemometric fields and, therefore, potential available wind power. WEST has been developed in such a way to be effective in both studies of large area and siting. Particularly, this method is composed by different calculation algorithms, which altogether constitutes the numerical model, which allow obtaining useful information on the technical feasibility of installing wind turbine in an area.

Suggested Citation

  • Milanese, Marco & Tornese, Ljuba & Colangelo, Gianpiero & Laforgia, Domenico & de Risi, Arturo, 2017. "Numerical method for wind energy analysis applied to Apulia Region, Italy," Energy, Elsevier, vol. 128(C), pages 1-10.
    • Handle: RePEc:eee:energy:v:128:y:2017:i:c:p:1-10
    DOI: 10.1016/j.energy.2017.03.170
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    3. Qin, Li & Liu, Shi & Kang, Yi & Yan, Song An & Inaki Schlaberg, H. & Wang, Zhan, 2019. "Wind velocity distribution reconstruction using CFD database with Tucker decomposition and sensor measurement," Energy, Elsevier, vol. 167(C), pages 1236-1250.
    4. Ramadan, Mohamad & Murr, Rabih & Khaled, Mahmoud & Olabi, Abdul Ghani, 2018. "Mixed numerical - Experimental approach to enhance the heat pump performance by drain water heat recovery," Energy, Elsevier, vol. 149(C), pages 1010-1021.
    5. Cheng, Youliang & Xue, Zhanpu & Jiang, Tuo & Wang, Wenyang & Wang, Yuekun, 2018. "Numerical simulation on dynamic response of flexible multi-body tower blade coupling in large wind turbine," Energy, Elsevier, vol. 152(C), pages 601-612.
    6. Milanese, Marco & Congedo, Paolo Maria & Colangelo, Gianpiero & Lala, Roberta & Laforgia, Domenico & de Risi, Arturo, 2019. "Numerical method for wind energy analysis in WTG siting," Renewable Energy, Elsevier, vol. 136(C), pages 202-210.
    7. Daaou Nedjari, H. & Haddouche, S. Kheder & Balehouane, A. & Guerri, O., 2018. "Optimal windy sites in Algeria: Potential and perspectives," Energy, Elsevier, vol. 147(C), pages 1240-1255.

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