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Train2Wind - Or How Large Is an Infinite Wind Farm?

Giebel, Gregor ; Göçmen, Tuhfe ; Mann, Jakob ; Sempreviva, Anna Maria ; Hertzum, Morten ; Lund, Haakon ; Reuder, Joachim ; Bange, Jens ; Platis, Andreas and Porte-Agel, Fernando , et al. (2022) Wind Europe Annual Event 2022
Abstract
TRAIN2WIND is a PhD TRAINing school analysing enTRAINment in offshore WIND farms with computer models and experiments. By its very nature, a wind turbine extracts energy from the wind, which is replenished from the wind field on the sides and above due to the ambient turbulence. However, offshore the turbulence is lower, and wind farms are typically larger than onshore, therefore the wind can only be replenished from above in a process called entrainment. TRAIN2WIND will investigate the entrainment process using advanced high-resolution computer modelling and wind tunnel models together with measurements of the wind field above, in and downstream of large wind farms, using lidars, radars, satellites and Unmanned Aerial Systems. Besides the... (More)
TRAIN2WIND is a PhD TRAINing school analysing enTRAINment in offshore WIND farms with computer models and experiments. By its very nature, a wind turbine extracts energy from the wind, which is replenished from the wind field on the sides and above due to the ambient turbulence. However, offshore the turbulence is lower, and wind farms are typically larger than onshore, therefore the wind can only be replenished from above in a process called entrainment. TRAIN2WIND will investigate the entrainment process using advanced high-resolution computer modelling and wind tunnel models together with measurements of the wind field above, in and downstream of large wind farms, using lidars, radars, satellites and Unmanned Aerial Systems. Besides the natural science package, one humanities PhD student at the University of Copenhagen will investigate the collaboration between the researchers from a social science and collaboration tools perspective. All 13 PhD students have started and are producing results. This poster gives an overview of the current state of the project with regard to modelling, hardware development and science goals. (Less)
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publishing date
type
Contribution to conference
publication status
published
subject
keywords
Wind farms, Computer models, Research data management, Research data analysis, Publishing
conference name
Wind Europe Annual Event 2022
conference location
Bilbao, Spain
conference dates
2022-04-05 - 2022-04-07
language
English
LU publication?
no
additional info
Conference poster
id
775f6fae-370d-42a5-86b0-484f12ec3e98
alternative location
https://windeurope.org/annual2022/conference/posters/PO140/
date added to LUP
2022-10-12 15:30:47
date last changed
2022-10-21 11:34:00
@misc{775f6fae-370d-42a5-86b0-484f12ec3e98,
  abstract     = {{TRAIN2WIND is a PhD TRAINing school analysing enTRAINment in offshore WIND farms with computer models and experiments. By its very nature, a wind turbine extracts energy from the wind, which is replenished from the wind field on the sides and above due to the ambient turbulence. However, offshore the turbulence is lower, and wind farms are typically larger than onshore, therefore the wind can only be replenished from above in a process called entrainment. TRAIN2WIND will investigate the entrainment process using advanced high-resolution computer modelling and wind tunnel models together with measurements of the wind field above, in and downstream of large wind farms, using lidars, radars, satellites and Unmanned Aerial Systems. Besides the natural science package, one humanities PhD student at the University of Copenhagen will investigate the collaboration between the researchers from a social science and collaboration tools perspective. All 13 PhD students have started and are producing results. This poster gives an overview of the current state of the project with regard to modelling, hardware development and science goals.}},
  author       = {{Giebel, Gregor and Göçmen, Tuhfe and Mann, Jakob and Sempreviva, Anna Maria and Hertzum, Morten and Lund, Haakon and Reuder, Joachim and Bange, Jens and Platis, Andreas and Porte-Agel, Fernando and Santiago, Oscar G. and Hodgson, Emily and Syed, Abdul H. and Owda, Abdalmenem and Fraumann, Grischa and Ghirardelli, Mauro and Malekmohammadi, S. and Bramati, Matteo and Miranda-Garcia, Gabriela and Sajidi, Mosaab and Savvakis, Vasileios and Duan, Guiyue and Souaiby, Marwa}},
  keywords     = {{Wind farms; Computer models; Research data management; Research data analysis; Publishing}},
  language     = {{eng}},
  month        = {{04}},
  title        = {{Train2Wind - Or How Large Is an Infinite Wind Farm?}},
  url          = {{https://windeurope.org/annual2022/conference/posters/PO140/}},
  year         = {{2022}},
}