EconPapers    
Economics at your fingertips  
 

A fast algorithm based on the submodular property for optimization of wind turbine positioning

Zhang Changshui, Hou Guangdong and Wang Jun

Renewable Energy, 2011, vol. 36, issue 11, 2951-2958

Abstract: In the design of a wind farm, the placement of turbines is an important factor that affects the efficiency and profit, but automatic placement of turbines is still a challenging problem.

Keywords: Wind turbine positioning; Wake model; Submodular; Optimization; Genetic algorithm (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148111001741
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:36:y:2011:i:11:p:2951-2958

DOI: 10.1016/j.renene.2011.03.045

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:renene:v:36:y:2011:i:11:p:2951-2958