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Suitable map analysis for wind energy projects using remote sensing and GIS: a case study in Turkey
1Faculty of Civil Engineering, Department of Geomatics Engineering, Yildiz Technical University, Davutpasa Campus Esenler, 34210, Istanbul, Turkey. auzar@yildiz.edu.tr.
Environmental Monitoring and Assessment
|June 26, 2019
Summary
This study maps rural wind energy potential using automated object extraction and fuzzy analytical hierarchy process (FAHP). It identifies optimal wind turbine sites while minimizing negative environmental impacts.
Area of Science:
- Environmental Science
- Remote Sensing
- Geographic Information Systems (GIS)
Background:
- Renewable energy projects require careful site selection considering environmental and physical factors.
- Automated object extraction and GIS-based analysis are crucial for efficient renewable energy planning.
Purpose of the Study:
- To develop a methodology for mapping wind energy suitability in rural areas.
- To identify optimal wind turbine locations using wind speed, slope, building, and vegetation data.
- To assess potential negative impacts of wind energy projects on rural environments.
Main Methods:
- Utilized automatic object extraction for buildings, vegetation, and ground.
- Applied the fuzzy analytical hierarchy process (FAHP) for site suitability analysis.
- Evaluated two strategies: maximizing suitability and minimizing negative effects.
Main Results:
- Achieved 89% accuracy in remote sensing-based object extraction.
- Strategy 1 (maximizing suitability) found 11% of the area suitable for wind turbines.
- Strategy 2 (minimizing negative effects) identified only 2% of the area as highly suitable, with 98% unsuitable.
Conclusions:
- The methodology provides a robust framework for wind energy site selection.
- Prioritizing minimal negative impacts significantly reduces suitable areas for wind turbines.
- Accurate data extraction and GIS analysis are vital for sustainable wind energy development.
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