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First in situ evidence of wakes in the far field behind offshore wind farms

More than 12 GW of offshore wind turbines are currently in operation in European waters. To optimise the use of the marine areas, wind farms are typically clustered in units of several hundred turbines. Understanding wakes of wind farms, which is the region of momentum and energy deficit downwind, i...

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Autores principales: Platis, Andreas, Siedersleben, Simon K., Bange, Jens, Lampert, Astrid, Bärfuss, Konrad, Hankers, Rudolf, Cañadillas, Beatriz, Foreman, Richard, Schulz-Stellenfleth, Johannes, Djath, Bughsin, Neumann, Thomas, Emeis, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794966/
https://www.ncbi.nlm.nih.gov/pubmed/29391440
http://dx.doi.org/10.1038/s41598-018-20389-y
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author Platis, Andreas
Siedersleben, Simon K.
Bange, Jens
Lampert, Astrid
Bärfuss, Konrad
Hankers, Rudolf
Cañadillas, Beatriz
Foreman, Richard
Schulz-Stellenfleth, Johannes
Djath, Bughsin
Neumann, Thomas
Emeis, Stefan
author_facet Platis, Andreas
Siedersleben, Simon K.
Bange, Jens
Lampert, Astrid
Bärfuss, Konrad
Hankers, Rudolf
Cañadillas, Beatriz
Foreman, Richard
Schulz-Stellenfleth, Johannes
Djath, Bughsin
Neumann, Thomas
Emeis, Stefan
author_sort Platis, Andreas
collection PubMed
description More than 12 GW of offshore wind turbines are currently in operation in European waters. To optimise the use of the marine areas, wind farms are typically clustered in units of several hundred turbines. Understanding wakes of wind farms, which is the region of momentum and energy deficit downwind, is important for optimising the wind farm layouts and operation to minimize costs. While in most weather situations (unstable atmospheric stratification), the wakes of wind turbines are only a local effect within the wind farm, satellite imagery reveals wind-farm wakes to be several tens of kilometres in length under certain conditions (stable atmospheric stratification), which is also predicted by numerical models. The first direct in situ measurements of the existence and shape of large wind farm wakes by a specially equipped research aircraft in 2016 and 2017 confirm wake lengths of more than tens of kilometres under stable atmospheric conditions, with maximum wind speed deficits of 40%, and enhanced turbulence. These measurements were the first step in a large research project to describe and understand the physics of large offshore wakes using direct measurements, together with the assessment of satellite imagery and models.
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spelling pubmed-57949662018-02-12 First in situ evidence of wakes in the far field behind offshore wind farms Platis, Andreas Siedersleben, Simon K. Bange, Jens Lampert, Astrid Bärfuss, Konrad Hankers, Rudolf Cañadillas, Beatriz Foreman, Richard Schulz-Stellenfleth, Johannes Djath, Bughsin Neumann, Thomas Emeis, Stefan Sci Rep Article More than 12 GW of offshore wind turbines are currently in operation in European waters. To optimise the use of the marine areas, wind farms are typically clustered in units of several hundred turbines. Understanding wakes of wind farms, which is the region of momentum and energy deficit downwind, is important for optimising the wind farm layouts and operation to minimize costs. While in most weather situations (unstable atmospheric stratification), the wakes of wind turbines are only a local effect within the wind farm, satellite imagery reveals wind-farm wakes to be several tens of kilometres in length under certain conditions (stable atmospheric stratification), which is also predicted by numerical models. The first direct in situ measurements of the existence and shape of large wind farm wakes by a specially equipped research aircraft in 2016 and 2017 confirm wake lengths of more than tens of kilometres under stable atmospheric conditions, with maximum wind speed deficits of 40%, and enhanced turbulence. These measurements were the first step in a large research project to describe and understand the physics of large offshore wakes using direct measurements, together with the assessment of satellite imagery and models. Nature Publishing Group UK 2018-02-01 /pmc/articles/PMC5794966/ /pubmed/29391440 http://dx.doi.org/10.1038/s41598-018-20389-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Platis, Andreas
Siedersleben, Simon K.
Bange, Jens
Lampert, Astrid
Bärfuss, Konrad
Hankers, Rudolf
Cañadillas, Beatriz
Foreman, Richard
Schulz-Stellenfleth, Johannes
Djath, Bughsin
Neumann, Thomas
Emeis, Stefan
First in situ evidence of wakes in the far field behind offshore wind farms
title First in situ evidence of wakes in the far field behind offshore wind farms
title_full First in situ evidence of wakes in the far field behind offshore wind farms
title_fullStr First in situ evidence of wakes in the far field behind offshore wind farms
title_full_unstemmed First in situ evidence of wakes in the far field behind offshore wind farms
title_short First in situ evidence of wakes in the far field behind offshore wind farms
title_sort first in situ evidence of wakes in the far field behind offshore wind farms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794966/
https://www.ncbi.nlm.nih.gov/pubmed/29391440
http://dx.doi.org/10.1038/s41598-018-20389-y
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