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A GIS Based Methodology in Renewable Energy Sources Sustainability

A GIS Based Methodology in Renewable Energy Sources Sustainability

Emanuela Caiaffa, Maurizio Pollino, Alessandro Marucci
Copyright: © 2014 |Volume: 5 |Issue: 3 |Pages: 20
ISSN: 1947-3192|EISSN: 1947-3206|EISBN13: 9781466652453|DOI: 10.4018/ijaeis.2014070102
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MLA

Caiaffa, Emanuela, et al. "A GIS Based Methodology in Renewable Energy Sources Sustainability." IJAEIS vol.5, no.3 2014: pp.17-36. http://doi.org/10.4018/ijaeis.2014070102

APA

Caiaffa, E., Pollino, M., & Marucci, A. (2014). A GIS Based Methodology in Renewable Energy Sources Sustainability. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 5(3), 17-36. http://doi.org/10.4018/ijaeis.2014070102

Chicago

Caiaffa, Emanuela, Maurizio Pollino, and Alessandro Marucci. "A GIS Based Methodology in Renewable Energy Sources Sustainability," International Journal of Agricultural and Environmental Information Systems (IJAEIS) 5, no.3: 17-36. http://doi.org/10.4018/ijaeis.2014070102

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Abstract

The exploitation of renewable energy sources has assumed a significant role, especially in an integrated vision of problems concerning energy policies, The 2009/28/EC Directive of the European Parliament and Council has indicated ambitious energy and climate change objectives for 2020 (according to the so-called “EU2020 Strategy”): greenhouse gas emissions reduction for 20%, renewable energy increase for 20%, improvement in energy efficiency for 20%. The aim of this paper is to present a GIS based methodology able to support decision-making in energy supply from Renewable Energy Sources (RES), focusing on two specific case-studies: Photovoltaic (PV) and Wind energy. To decide what type of renewable energy font is the best choice for a specific territory, it's important to know the local energetic situation, exploring the potential renewable energy sources available in that specific area, deciding what is the territory more compatible/sustainable among them, and if it's exploitable by suitable environmental and economic point of view. The methodology is largely directed towards the development of a tool to support siting decision.

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