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Evolutionary Wind Turbine Placement Optimization with Geographical Constraints

Daniel Lückehe (Autor)

Buch | Softcover

XXII, 195 Seiten

2017 | 1st ed. 2017
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-18464-3 (ISBN)

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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.

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.

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

Erscheinungsdatum	27.06.2017
Zusatzinfo	XXII, 195 p. 64 illus., 15 illus. in color.
Verlagsort	Wiesbaden
Sprache	englisch
Maße	148 x 210 mm
Gewicht	293 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
Schlagworte	algorithms • Appl.Mathematics/Computational Methods of Engineer • Computer Science • Computing Methodologies • constraint handling • evolutionary algorithms • Maths for engineers • Multimodal • multimodal optimization • Penalty Functions • Programming Techniques • sustainability • sustainable development
ISBN-10	3-658-18464-7 / 3658184647
ISBN-13	978-3-658-18464-3 / 9783658184643
Zustand	Neuware