Computer Science – Neural and Evolutionary Computing
Scientific paper
2012-04-20
Computer Science
Neural and Evolutionary Computing
16 pages, 2 algorithms, 4 figures, 1 table
Scientific paper
The placement of wind turbines on a given area of land such that the wind farm produces a maximum amount of energy is a challenging optimization problem. In this article, we tackle this problem, taking into account wake effects that are produced by the different turbines on the wind farm. We significantly improve upon existing results for the minimization of wake effects by developing a new problem-specific local search algorithm. One key step in the speed-up of our algorithm is the reduction in computation time needed to assess a given wind farm layout compared to previous approaches. Our new method allows the optimization of large real-world scenarios within a single night on a standard computer, whereas weeks on specialized computing servers were required for previous approaches.
Day Jareth
Neumann Frank
Wagner Markus
No associations
LandOfFree
A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-5397