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  Optimizing the Layout of 1000 Wind Turbines

Wagner, M., Veeramachaneni, K., Neumann, F., & O'Reilly, U.-M. (2011). Optimizing the Layout of 1000 Wind Turbines. In European Wind Energy Association Annual Event. Brussels: EWEA. Retrieved from http://cs.adelaide.edu.au/~markus/pub/2011ewea.pdf.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-127D-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-0601-8
Genre: Conference Paper

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2011ewea.pdf (Any fulltext), 370KB
 
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 Creators:
Wagner, Markus1, Author           
Veeramachaneni, Kalyan2, Author
Neumann, Frank1, Author           
O'Reilly, Una-May2, Author
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2External Organizations, ou_persistent22              

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 Abstract: In this paper we demonstrate an accurate, efficient, and parallelizable optimization algorithm for the layout of hundreds, then 1000, turbines. It is modular and therefore allows different wake effect models to be in- corporated. Its computational cost is a relation which depends upon how many candidate layouts it investi- gates and the complexity of its wake loss calculation. We demonstrate how well it maximizes energy capture and show how it allows one to examine how wake loss scales with energy capture and number of turbines.

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Language(s): eng - English
 Dates: 20112011
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: eDoc: 618674
URI: http://cs.adelaide.edu.au/~markus/pub/2011ewea.pdf
Other: Local-ID: C1256428004B93B8-08F2E8F1D20AB7FEC125785D00343A1B-Wagner2011EWEA
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Title: 2011 European Wind Energy Association Annual Event
Place of Event: Brussels, Belgium
Start-/End Date: 2011-03-14 - 2011-03-17

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Title: European Wind Energy Association Annual Event
  Abbreviation : EWEA 2011
Source Genre: Proceedings
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Publ. Info: Brussels : EWEA
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