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Optimizing the Layout of 1000 Wind Turbines

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45683

Wagner,  Markus
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45115

Neumann,  Frank
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Zitation

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.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0010-127D-2
Zusammenfassung
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.