A sustainable way forward for wind power: Assessing turbines’ environmental impacts using a holistic GIS analysis

Erez Peri and Alon Tal

Applied Energy, 2020, vol. 279, issue C, No S0306261920313076

Abstract: Wind power development is an increasingly vital source of renewable electricity that significantly contributes globally to reduced greenhouse gas emissions and the combatting of climate change. The environmental impacts of wind turbines have emerged as a dominant consideration in the planning process in order to increase public acceptance, protect the surrounding environment and to conserve pristine ecosystems. Hence, ensuring holistic planning and community participation are key factors if wind-generated electricity is to be expanded. Existing macro-planning methods lack quantifiable models for assessing wind turbines’ full environmental implications. The current study uses a holistic and quantitative methodology to identify suitable sites for wind turbines in the north of Israel using available GIS software. By evaluating a broad range of local environmental and spatial conditions, the research improves on existing GIS modeling. The spatial criteria that affect zoning optimization are then applied using a Multi Criteria Decision Analysis (MCDA). The results indicate that 0.5% of possible sites in the study area are suitable for wind turbine development according to the strictest environmental constraints. Anthropocentric environmental impacts from turbines were found to be significant whenever sites were located less than 750 m from settlements. Ecological impacts, however, were not found to be correlated with the distance from natural protected areas. The study’s novel, holistic approach enables decision-makers to identify sustainable locations with maximum energy benefits and minimal negative impacts as they seek to meet renewable energy goals.

Keywords: Wind turbines; Environmental impacts; GIS; Multi criteria decision analysis (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (10)

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DOI: 10.1016/j.apenergy.2020.115829

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