Skip to main content
SpringerLink
Log in

Evolutionary Wind Turbine Placement Optimization with Geographical Constraints

  • Book
  • © 2017

Overview

Authors:
  1. Daniel Lückehe

    1. Oldenburg, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Study in Technical Sciences

  • Includes supplementary material: sn.pub/extras

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 chapters)

  1. Front Matter

    Pages I-XXII
    Download chapter PDF

  2. Foundations

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Introduction

      • Daniel Lückehe
      Pages 3-12

    3. Wind Turbine Placement Optimization

      • Daniel Lückehe
      Pages 13-32

  3. Placement Model

    1. Front Matter

      Pages 33-33
      Download chapter PDF

    2. Wind Model

      • Daniel Lückehe
      Pages 35-53

    3. Geographical Data

      • Daniel Lückehe
      Pages 55-70

  4. Constrained Placement Optimization

    1. Front Matter

      Pages 71-71
      Download chapter PDF

    2. Various Approaches with Death Penalty

      • Daniel Lückehe
      Pages 73-105

    3. Constraint Handling with Penalty Functions

      • Daniel Lückehe
      Pages 107-129

    4. Advanced Evolutionary Heuristics

      • Daniel Lückehe
      Pages 131-162

  5. Conclusions

    1. Front Matter

      Pages 163-163
      Download chapter PDF

    2. Summary and Outlook

      • Daniel Lückehe
      Pages 165-175

  6. Back Matter

    Pages 177-195
    Download chapter PDF
Back to top

Keywords

About this book

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. 

 

Authors and Affiliations

  • Oldenburg, Germany

    Daniel Lückehe

About the author

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.

Bibliographic Information

  • Book Title: Evolutionary Wind Turbine Placement Optimization with Geographical Constraints

  • Authors: Daniel Lückehe

  • DOI: https://doi.org/10.1007/978-3-658-18465-0

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden GmbH 2017

  • Softcover ISBN: 978-3-658-18464-3Published: 07 June 2017

  • eBook ISBN: 978-3-658-18465-0Published: 26 May 2017

  • Edition Number: 1

  • Number of Pages: XXII, 195

  • Number of Illustrations: 49 b/w illustrations, 15 illustrations in colour

  • Topics: Artificial Intelligence, Sustainable Development, Mathematical and Computational Engineering

Publish with us

Policies and ethics

Back to top

Search

Navigation