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Have wind turbines in Germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014?
The planning of the energy transition from fossil fuels to renewables requires estimates for how much electricity wind turbines can generate from the prevailing atmospheric conditions. Here, we estimate monthly ideal wind energy generation from datasets of wind speeds, air density and installed wind...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364903/ https://www.ncbi.nlm.nih.gov/pubmed/30726244 http://dx.doi.org/10.1371/journal.pone.0211028 |
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author | Germer, Sonja Kleidon, Axel |
author_facet | Germer, Sonja Kleidon, Axel |
author_sort | Germer, Sonja |
collection | PubMed |
description | The planning of the energy transition from fossil fuels to renewables requires estimates for how much electricity wind turbines can generate from the prevailing atmospheric conditions. Here, we estimate monthly ideal wind energy generation from datasets of wind speeds, air density and installed wind turbines in Germany and compare these to reported actual yields. Both yields were used in a statistical model to identify and quantify factors that reduced actual compared to ideal yields. The installed capacity within the region had no significant influence. Turbine age and park size resulted in significant yield reductions. Predicted yields increased from 9.1 TWh/a in 2000 to 58.9 TWh/a in 2014 resulting from an increase in installed capacity from 5.7 GW to 37.6 GW, which agrees very well with reported estimates for Germany. The age effect, which includes turbine aging and possibly other external effects, lowered yields from 3.6 to 6.7% from 2000 to 2014. The effect of park size decreased annual yields by 1.9% throughout this period. However, actual monthly yields represent on average only 73.7% of the ideal yields, with unknown causes. We conclude that the combination of ideal yields predicted from wind conditions with observed yields is suitable to derive realistic estimates of wind energy generation as well as realistic resource potentials. |
format | Online Article Text |
id | pubmed-6364903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63649032019-02-22 Have wind turbines in Germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014? Germer, Sonja Kleidon, Axel PLoS One Research Article The planning of the energy transition from fossil fuels to renewables requires estimates for how much electricity wind turbines can generate from the prevailing atmospheric conditions. Here, we estimate monthly ideal wind energy generation from datasets of wind speeds, air density and installed wind turbines in Germany and compare these to reported actual yields. Both yields were used in a statistical model to identify and quantify factors that reduced actual compared to ideal yields. The installed capacity within the region had no significant influence. Turbine age and park size resulted in significant yield reductions. Predicted yields increased from 9.1 TWh/a in 2000 to 58.9 TWh/a in 2014 resulting from an increase in installed capacity from 5.7 GW to 37.6 GW, which agrees very well with reported estimates for Germany. The age effect, which includes turbine aging and possibly other external effects, lowered yields from 3.6 to 6.7% from 2000 to 2014. The effect of park size decreased annual yields by 1.9% throughout this period. However, actual monthly yields represent on average only 73.7% of the ideal yields, with unknown causes. We conclude that the combination of ideal yields predicted from wind conditions with observed yields is suitable to derive realistic estimates of wind energy generation as well as realistic resource potentials. Public Library of Science 2019-02-06 /pmc/articles/PMC6364903/ /pubmed/30726244 http://dx.doi.org/10.1371/journal.pone.0211028 Text en © 2019 Germer, Kleidon http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Germer, Sonja Kleidon, Axel Have wind turbines in Germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014? |
title | Have wind turbines in Germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014? |
title_full | Have wind turbines in Germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014? |
title_fullStr | Have wind turbines in Germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014? |
title_full_unstemmed | Have wind turbines in Germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014? |
title_short | Have wind turbines in Germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014? |
title_sort | have wind turbines in germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364903/ https://www.ncbi.nlm.nih.gov/pubmed/30726244 http://dx.doi.org/10.1371/journal.pone.0211028 |
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