Return
Wind turbine micrositing by using the firefly algorithm
DOI:10.1016/j.asoc.2014.09.048.png)
Abstract
En 中文
Traditionally energy has been a burning issue of mankind, however, this trend has changed with the advent of clean technologies such as wind power. It is common knowledge that wind turbines need to be installed in an open, unobstructed area to obtain the maximal power output. This document attempts to solve the problem of optimization of the layout of large wind farms by the use of nature inspired algorithms. Particular reference is made to the use of the firefly algorithm. A good comparison is made with the past approaches of the use of spread sheets and GA's for optimization. (C) 2014 Elsevier B.V. All rights reserved.
Keywords:
Wake function
Jensen wake model
Nature inspired algorithms
Firefly algorithm (FA)
Genetic algorithms (GA)
Wind turbines
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W
Organization
Cited Papers
New approach on optimization in placement of wind turbines within wind farm by genetic algorithms
RENEWABLE ENERGY
IF9.1
no more

