Wind Energy Science
Wind Energy Science
WES
Articles | Volume 6, issue 1
Articles | Volume 6, issue 1
https://doi.org/10.5194/wes-6-177-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/wes-6-177-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 6, issue 1
Research article
 | 
01 Feb 2021
Research article |  | 01 Feb 2021

Future economic perspective and potential revenue of non-subsidized wind turbines in Germany

Lucas Blickwedel, Freia Harzendorf, Ralf Schelenz, and Georg Jacobs

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Cited articles

Baker, T.: Levelized Revenue of Electricity (LROE) – Part 2: Renewable Energy Analysis, A smart, well researched and scientific analysis of the science, policy and business of renewable energy, available at: http://thomasabaker.blogspot.com/2011/09/levelized-revenue-of-electricity-lroe.html, last access: 5 November 2020, 2011a. 
Baker, T.: Levelized Revenue of Electricity (LROE) – Part 1: Renewable Energy Analysis, A smart, well researched and scientific analysis of the science, policy and business of renewable energy, available at: http://thomasabaker.blogspot.com/2011/08/levelized-revenue-of-electricity-lroe.html, last access: 5 November 2020, 2011b. 
Berger, A., Marschner, P., Bühler, K., and Kurz, A.: Corporate PPA erfolgreich gestalten, available at: https://www.roedl.de/de-de/de/erneuerbare-energien/documents/corporate-ppa-erfolgreich-gestalten.pdf (last access: 4 November 2020), 2016. 
Boubault, A., Ho, C. K., Hall, A., Lambert, T. N., and Ambrosini, A.: Levelized cost of energy (LCOE) metric to characterize solar absorber coatings for the CSP industry, Renew. Energ., 85, 472–483, https://doi.org/10.1016/j.renene.2015.06.059, 2016. 
Brinkerink, M. and Deane, P.: PLEXOS World 2015, https://doi.org/10.7910/DVN/CBYXBY, 2020. 
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Revenues from the operation of wind turbines in Germany will be insecure in the future due to the expiration of federal support. Alternative ways of selling electricity are usually based on exchange prices. Therefore, the long-term revenue potential of wind turbines is assessed based on levelized revenue of energy (LROE), using a new forecasting model and open-source data. Results show how different expansion scenarios and emission prices may affect profitability of future plants.
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