Evolutionary Wind Turbine Placement Optimization with Geographical Constraints

1. Front Matter

   Pages I-XXII

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2. Foundations

   1. Front Matter

      Pages 1-1

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   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

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   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

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   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

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   2. Summary and Outlook

      • Daniel Lückehe

      Pages 165-175

6. Back Matter

   Pages 177-195

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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. 

 

• Algorithms
• Constraint Handling
• Penalty Functions
• Multimodal
• Computing Methodologies
• Evolutionary Algorithms
• Multimodal Optimization

• Oldenburg, Germany

  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.

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