IDEAS home Printed from https://ideas.repec.org/a/eac/articl/05-14.html
   My bibliography  Save this article

Desarrollo de un modelo de determinación de cash-flows para un proyecto de energía eólica

Author

Listed:
  • Irene Clara Pisón Fernández

    (Universidad de Vigo. España.)

  • Félix Puime Guillén

    (Universidad de Vigo. España.)

  • Miguel Ángel Crespo Cibrán

    (Abanca. Profesor en el Máster de Finanzas de la Facultad de CC. Económicas y Empresariales dela Universidad de Vigo. España.)

Abstract

En este trabajo se analiza la problemática asociada a la producción de energía eléctrica de origen renovable, y se ofrece un modelo de definición de las variables en las que se apoya el plan de negocio de energía eólica. El plan de viabilidad muestra que los cash-flows para el accionista obtenidos en este tipo de proyectos permiten afrontar las inversiones futuras con una rentabilidad suficiente, que apunta al sector de energías renovables, y en particular al de energía eólica, como estratégico dentro de la economía española de las próximas décadas.

Suggested Citation

  • Irene Clara Pisón Fernández & Félix Puime Guillén & Miguel Ángel Crespo Cibrán, 2015. "Desarrollo de un modelo de determinación de cash-flows para un proyecto de energía eólica," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 1, pages 1-1, June.
    • Handle: RePEc:eac:articl:05/14
    as

    Download full text from publisher

    File URL: http://www.unagaliciamoderna.com/eawp/coldata/upload/Vol1_2015_Cash_Flows_Energia_Eolica.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Blanco, María Isabel, 2009. "The economics of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1372-1382, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hung-Ta Wen & Jau-Huai Lu & Mai-Xuan Phuc, 2021. "Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression," Energies, MDPI, vol. 14(10), pages 1-18, May.
    2. Jin, Xin & Zhang, Zhaolong & Shi, Xiaoqiang & Ju, Wenbin, 2014. "A review on wind power industry and corresponding insurance market in China: Current status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1069-1082.
    3. Abolhosseini, Shahrouz & Heshmati, Almas & Altmann, Jörn, 2014. "A Review of Renewable Energy Supply and Energy Efficiency Technologies," IZA Discussion Papers 8145, Institute of Labor Economics (IZA).
    4. Raphael Calel & Jonathan Colmer & Antoine Dechezleprêtre & Matthieu Glachant, 2021. "Do Carbon Offsets Offset Carbon?," CESifo Working Paper Series 9368, CESifo.
    5. Ayman Al-Quraan & Bashar Al-Mhairat, 2022. "Intelligent Optimized Wind Turbine Cost Analysis for Different Wind Sites in Jordan," Sustainability, MDPI, vol. 14(5), pages 1-24, March.
    6. Gao, Xiaoxia & Yang, Hongxing & Lu, Lin, 2014. "Study on offshore wind power potential and wind farm optimization in Hong Kong," Applied Energy, Elsevier, vol. 130(C), pages 519-531.
    7. Velo, R. & Osorio, L. & Fernández, M.D. & Rodríguez, M.R., 2014. "An economic analysis of a stand-alone and grid-connected cattle farm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 883-890.
    8. Astariz, S. & Iglesias, G., 2016. "Output power smoothing and reduced downtime period by combined wind and wave energy farms," Energy, Elsevier, vol. 97(C), pages 69-81.
    9. Silva Herran, Diego & Dai, Hancheng & Fujimori, Shinichiro & Masui, Toshihiko, 2016. "Global assessment of onshore wind power resources considering the distance to urban areas," Energy Policy, Elsevier, vol. 91(C), pages 75-86.
    10. Kabir, Md Ruhul & Rooke, Braden & Dassanayake, G.D. Malinga & Fleck, Brian A., 2012. "Comparative life cycle energy, emission, and economic analysis of 100 kW nameplate wind power generation," Renewable Energy, Elsevier, vol. 37(1), pages 133-141.
    11. Antonio Colmenar-Santos & Severo Campíez-Romero & Lorenzo Alfredo Enríquez-Garcia & Clara Pérez-Molina, 2014. "Simplified Analysis of the Electric Power Losses for On-Shore Wind Farms Considering Weibull Distribution Parameters," Energies, MDPI, vol. 7(11), pages 1-30, October.
    12. Enevoldsen, Peter & Valentine, Scott Victor & Sovacool, Benjamin K., 2018. "Insights into wind sites: Critically assessing the innovation, cost, and performance dynamics of global wind energy development," Energy Policy, Elsevier, vol. 120(C), pages 1-7.
    13. Valentine, Scott Victor, 2010. "A STEP toward understanding wind power development policy barriers in advanced economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2796-2807, December.
    14. Juliana Subtil Lacerda & Jeroen C. J. M. Van den Bergh, 2014. "International Diffusion of Renewable Energy Innovations: Lessons from the Lead Markets for Wind Power in China, Germany and USA," Energies, MDPI, vol. 7(12), pages 1-28, December.
    15. Satir, Mert & Murphy, Fionnuala & McDonnell, Kevin, 2018. "Feasibility study of an offshore wind farm in the Aegean Sea, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2552-2562.
    16. Rubert, T. & Zorzi, G. & Fusiek, G. & Niewczas, P. & McMillan, D. & McAlorum, J. & Perry, M., 2019. "Wind turbine lifetime extension decision-making based on structural health monitoring," Renewable Energy, Elsevier, vol. 143(C), pages 611-621.
    17. Piotr Kułyk & Łukasz Augustowski, 2021. "Economic Profitability of a Hybrid Approach to Powering Residual Households from Natural Sources in Two Wind Zones of the Lubuskie Voivodeship in Poland," Energies, MDPI, vol. 14(21), pages 1-15, October.
    18. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
    19. Höltinger, Stefan & Salak, Boris & Schauppenlehner, Thomas & Scherhaufer, Patrick & Schmidt, Johannes, 2016. "Austria's wind energy potential – A participatory modeling approach to assess socio-political and market acceptance," Energy Policy, Elsevier, vol. 98(C), pages 49-61.
    20. Muche, Thomas & Pohl, Ralf & Höge, Christin, 2016. "Economically optimal configuration of onshore horizontal axis wind turbines," Renewable Energy, Elsevier, vol. 90(C), pages 469-480.

    More about this item

    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:eac:articl:05/14. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jose González Seoane (email available below). General contact details of provider: https://edirc.repec.org/data/cecorea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.