Evolutionary Wind Turbine Placement Optimization with Geographical Constraints

1. Auflage 2017
ISBN: 978-3-658-18464-3
Verlag: Springer

Buch, Englisch, 195 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 2903 g

Daniel Lückehe presents different approaches to optimize locations of multiple wind turbines on a topographical map. The author succeeds in significantly improving placement solutions by employing optimization heuristics. He proposes various real-world scenarios that represent real planning situations. Advanced evolutionary heuristics for the turbine placement optimization create not only highly optimized solutions but also significantly different solutions to give decision-makers optimal choices. As a matter of fact, wind turbines play an important role towards green energy supply. An optimal location is essential to achieve the highest possible energy efficiency.

Zielgruppe

Research

Autoren/Hrsg.

Lückehe, Daniel

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Windkraftanlagen, Wasserkraftanlagen

Inhaltsverzeichnis

Solving Optimization Problems.- Wind Prediction Model.- Geographical Planning Scenarios.- Constrained Placement Optimization.- Constraint Handling with Penalty Functions.- Advanced Evolutionary Heuristics.

Über Autor(innen)

Dr. Daniel Lückehe defended his PhD thesis in the PhD program “System Integration of Renewable Energy” at the Carl von Ossietzky University in Oldenburg, Germany. As postdoctoral researcher he conducts research in computational health informatics at the Leibnitz University in Hanover, Germany.