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An Evolutionary Approach to Geo-Planning of Renewable Energies

Authors
Lückehe, Daniel (Jade University of Applied Sciences)
Search for Daniel Lückehe in Research Programmes Information System
Kramer, Oliver (University of Oldenburg)
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Weisensee, Manfred (Jade University of Applied Sciences)
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Chapter GIS: Techniques and Applications
Volume Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
Conference EnviroInfo 2014 - ICT for Energy Effieciency
Oldenburg, 2014
Year 2014
Abstract of the Article
Renewable energy sources are getting more and more important in many industrial nations. As
their behavior and effectiveness often depends on their location, the employment of geo-planning
and geo-optimization strategies improves their value. A geo-planning process must consider
multiple aspects and different requirements resulting in a constrained optimization problem. In this
work, we introduce a new optimization approach for geo-planning based on evolutionary
strategies. For this sake, we adapt evolutionary operators and employ deterministic parameter
control. We define an experimental setting for wind turbines with different potentials, constraints,
and wake effects. In the experimental part of this work, we first show the behavior of the approach
on toy settings. Extended settings with real-world geographical data, ground mounted solar power
plants, and political conditions demonstrate the flexibility and extensibility of the approach.
Pages 501 - 508
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