Geographic Information
Systems (GIS) Portfolio
Automating Wind Turbine Site Analysis
Lawson Schultz & Gautam Mathur, 2024
Lawson Schultz & Gautam Mathur, 2024
Climate change demands urgent action necessitating a shift towards green energy. Wind power stands out as a crucial element in this transition due to its sustainability and wide applicability. Currently, 23 states have passed legislation committing to 100% renewable energy by a specific year (1). To encourage similar commitments in other states, it is vital to provide data demonstrating the benefits and feasibility of such initiatives. Our project focuses on creating an automated GIS process to identify suitable locations for land-based wind turbines. We apply this process to Ohio, a purple state that has yet to commit to 100% renewable energy, in hopes of showcasing the potential for clean energy adoption (2). Additionally, we provide analysis of feasible locations in relation to the state as a whole and per county, bearing in mind political considerations.
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Skills Demonstrated:
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Introduction to GIS Block Statistics Tool Educational PowerPoint &
Mapping Seasonal Vegetation Change (Block Statistic Case Study) Gautam Mathur & Lawson Schultz, 2024
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