IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v21y2013icp272-287.html
   My bibliography  Save this article

A methodological review to estimate techno-economical wind energy production

Author

Listed:
  • Schallenberg-Rodriguez, Julieta

Abstract

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032112007356
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Emami, Alireza & Noghreh, Pirooz, 2010. "New approach on optimization in placement of wind turbines within wind farm by genetic algorithms," Renewable Energy, Elsevier, vol. 35(7), pages 1559-1564.
    2. Fox, Neil I., 2011. "A tall tower study of Missouri winds," Renewable Energy, Elsevier, vol. 36(1), pages 330-337.
    3. van Haaren, Rob & Fthenakis, Vasilis, 2011. "GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3332-3340, September.
    4. Carta, J.A. & Ramírez, P., 2007. "Analysis of two-component mixture Weibull statistics for estimation of wind speed distributions," Renewable Energy, Elsevier, vol. 32(3), pages 518-531.
    5. Wen, Jiang & Zheng, Yan & Donghan, Feng, 2009. "A review on reliability assessment for wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2485-2494, December.
    6. Cabello, M. & Orza, J.A.G., 2010. "Wind speed analysis in the province of Alicante, Spain. Potential for small-scale wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3185-3191, December.
    7. González, Javier Serrano & Gonzalez Rodriguez, Angel G. & Mora, José Castro & Santos, Jesús Riquelme & Payan, Manuel Burgos, 2010. "Optimization of wind farm turbines layout using an evolutive algorithm," Renewable Energy, Elsevier, vol. 35(8), pages 1671-1681.
    8. Grady, S.A. & Hussaini, M.Y. & Abdullah, M.M., 2005. "Placement of wind turbines using genetic algorithms," Renewable Energy, Elsevier, vol. 30(2), pages 259-270.
    9. Fueyo, Norberto & Sanz, Yosune & Rodrigues, Marcos & Montañés, Carlos & Dopazo, César, 2011. "The use of cost-generation curves for the analysis of wind electricity costs in Spain," Applied Energy, Elsevier, vol. 88(3), pages 733-740, March.
    10. Bañuelos-Ruedas, F. & Angeles-Camacho, C. & Rios-Marcuello, S., 2010. "Analysis and validation of the methodology used in the extrapolation of wind speed data at different heights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2383-2391, October.
    11. Mostafaeipour, Ali, 2010. "Feasibility study of harnessing wind energy for turbine installation in province of Yazd in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 93-111, January.
    12. Voivontas, D. & Assimacopoulos, D. & Mourelatos, A. & Corominas, J., 1998. "Evaluation of Renewable Energy potential using a GIS decision support system," Renewable Energy, Elsevier, vol. 13(3), pages 333-344.
    13. Farrugia, R.N., 2003. "The wind shear exponent in a Mediterranean island climate," Renewable Energy, Elsevier, vol. 28(4), pages 647-653.
    14. Carta, José A. & Velázquez, Sergio, 2011. "A new probabilistic method to estimate the long-term wind speed characteristics at a potential wind energy conversion site," Energy, Elsevier, vol. 36(5), pages 2671-2685.
    15. Gualtieri, Giovanni & Secci, Sauro, 2011. "Comparing methods to calculate atmospheric stability-dependent wind speed profiles: A case study on coastal location," Renewable Energy, Elsevier, vol. 36(8), pages 2189-2204.
    16. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
    17. Blanco, María Isabel, 2009. "The economics of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1372-1382, August.
    18. Elamouri, M. & Ben Amar, F., 2008. "Wind energy potential in Tunisia," Renewable Energy, Elsevier, vol. 33(4), pages 758-768.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Staffell, Iain & Green, Richard, 2014. "How does wind farm performance decline with age?," Renewable Energy, Elsevier, vol. 66(C), pages 775-786.
    13. 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.
    14. 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.
    15. repec:eee:rensus:v:76:y:2017:i:c:p:1422-1439 is not listed on IDEAS
    16. 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.

    More about this item

    Keywords

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:21:y:2013:i:c:p:272-287. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.