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A methodological review to estimate techno-economical wind energy production


  • Schallenberg-Rodriguez, Julieta


Wind energy represents an important energy source and, even more, it is called to play a crucial role in the future energy supply. In this context, it is crucial to estimate the technical and economical wind energy potential in different regions and areas. This paper includes an extensive review of methodologies proposed by several authors. Based on this review, a set of equations for the evaluation of wind energy production in a given area is proposed, being the input data: mean wind speed and shape factor at any height or even just the mean wind speed. To calculate the wind energy production, wind farm configuration (array efficiency/wake losses) and extrapolation/interpolation of wind speed and shape factor of Weibull distribution to the hub height, have been the main issues discussed. The distances among wind turbines are determined according to economic criteria, where two different approaches have been considered: maximizing income or minimizing cost per kWh. Available wind data usually include mean wind speed and shape factor at certain heights but, very often, not at the hub height. Several methods for extra/interpolation of wind speed and shape factor have been reviewed and a set of equations has been proposed to calculate them at the hub height. A methodology to calculate the annualized wind generation cost (c€/kWh) is also proposed. One of the premises of this methodology has been that calculations should be able to be done simply using calculator and common office software programs. Another premise has been that the methodology proposed is not meant for a detailed evaluation of energy production of one particular windfarm, but to establish a general methodology to study relatively big areas, like islands or whole regions. A practical application of the methodology proposed has been carried out using wind data from the Canary Islands.

Suggested Citation

  • Schallenberg-Rodriguez, Julieta, 2013. "A methodological review to estimate techno-economical wind energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 272-287.
  • Handle: RePEc:eee:rensus:v:21:y:2013:i:c:p:272-287
    DOI: 10.1016/j.rser.2012.12.032

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    References listed on IDEAS

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    Cited by:

    1. Petrakopoulou, Fontina & Robinson, Alexander & Loizidou, Maria, 2016. "Simulation and evaluation of a hybrid concentrating-solar and wind power plant for energy autonomy on islands," Renewable Energy, Elsevier, vol. 96(PA), pages 863-871.
    2. Schallenberg-Rodríguez, Julieta & Notario-del Pino, Jesús, 2014. "Evaluation of on-shore wind techno-economical potential in regions and islands," Applied Energy, Elsevier, vol. 124(C), pages 117-129.
    3. Wang, Longyan & Tan, Andy C.C. & Gu, Yuantong & Yuan, Jianping, 2015. "A new constraint handling method for wind farm layout optimization with lands owned by different owners," Renewable Energy, Elsevier, vol. 83(C), pages 151-161.
    4. Watts, David & Oses, Nicolás & Pérez, Rodrigo, 2016. "Assessment of wind energy potential in Chile: A project-based regional wind supply function approach," Renewable Energy, Elsevier, vol. 96(PA), pages 738-755.
    5. repec:eee:renene:v:120:y:2018:i:c:p:423-433 is not listed on IDEAS
    6. Gadelovits, Shlomo & Kuperman, Alon & Sitbon, Moshe & Aharon, Ilan & Singer, Sigmond, 2014. "Interfacing renewable energy sources for maximum power transfer—Part I: Statics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 501-508.
    7. repec:eee:energy:v:143:y:2018:i:c:p:91-103 is not listed on IDEAS
    8. repec:eee:eneeco:v:72:y:2018:i:c:p:542-557 is not listed on IDEAS
    9. Lydia, M. & Kumar, S. Suresh & Selvakumar, A. Immanuel & Prem Kumar, G. Edwin, 2014. "A comprehensive review on wind turbine power curve modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 452-460.
    10. Gopal, C. & Mohanraj, M. & Chandramohan, P. & Chandrasekar, P., 2013. "Renewable energy source water pumping systems—A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 351-370.
    11. Mohd Zin, Abdullah Asuhaimi B. & Pesaran H.A., Mahmoud & Khairuddin, Azhar B. & Jahanshaloo, Leila & Shariati, Omid, 2013. "An overview on doubly fed induction generators′ controls and contributions to wind based electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 692-708.
    12. McKenna, R. & Hollnaicher, S. & Ostman v. d. Leye, P. & Fichtner, W., 2015. "Cost-potentials for large onshore wind turbines in Europe," Energy, Elsevier, vol. 83(C), pages 217-229.
    13. Staffell, Iain & Green, Richard, 2014. "How does wind farm performance decline with age?," Renewable Energy, Elsevier, vol. 66(C), pages 775-786.
    14. Kolesnik, Sergei & Sitbon, Moshe & Gadelovits, Shlomo & Suntio, Teuvo & Kuperman, Alon, 2015. "Interfacing renewable energy sources for maximum power transfer—Part II: Dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1771-1783.
    15. Hdidouan, Daniel & Staffell, Iain, 2017. "The impact of climate change on the levelised cost of wind energy," Renewable Energy, Elsevier, vol. 101(C), pages 575-592.
    16. repec:eee:rensus:v:76:y:2017:i:c:p:1422-1439 is not listed on IDEAS
    17. Grassi, Stefano & Junghans, Sven & Raubal, Martin, 2014. "Assessment of the wake effect on the energy production of onshore wind farms using GIS," Applied Energy, Elsevier, vol. 136(C), pages 827-837.

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    Wind; Evaluation; Energy production; Cost; Canary Islands;


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