Realistic Wind Farm Layout Optimization through Genetic Algorithms Using a Gaussian Wake Model

Realistic Wind Farm Layout Optimization through Genetic Algorithms Using a Gaussian Wake Model

Wind Farm Layout Optimization (WFLO) can be useful to minimize power losses associated with turbine wakes in wind farms. This work presents a new evolutionary WFLO methodology integrated with a recently developed and successfully validated Gaussian wake model (Bastankhah and Porté-Agel mode...

Full description

Bibliographic Details
Main Authors: Nicolas Kirchner-Bossi, Fernando Porté-Agel
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
wind farm layout optimization
Gaussian wake model
genetic algorithms
evolutionary computation
Horns Rev
Princess Amalia
Online Access:https://www.mdpi.com/1996-1073/11/12/3268

Internet

https://www.mdpi.com/1996-1073/11/12/3268

Similar Items