Evolutionary Wind Turbine Placement Optimization with Geographical Constraints
(Sprache: Englisch)
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...
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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. Inhaltsverzeichnis zu „Evolutionary Wind Turbine Placement Optimization with Geographical Constraints “
Solving Optimization Problems.- Wind Prediction Model.- Geographical Planning Scenarios.- Constrained Placement Optimization.- Constraint Handling with Penalty Functions.- Advanced Evolutionary Heuristics.Autoren-Porträt von Daniel Lückehe
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.
Bibliographische Angaben
- Autor: Daniel Lückehe
- 2017, 1st ed. 2017, XXII, 195 Seiten, 15 farbige Abbildungen, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658184647
- ISBN-13: 9783658184643
- Erscheinungsdatum: 07.06.2017
Sprache:
Englisch
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