Spatial analysis of renewable energy potential in the greater southern Appalachian mountains

This research discusses the implementation of a geographic information system (GIS) for the simultaneous discovery of multiple types of renewable energy sources. In particular, the GIS model analyzes wind, solar, and biomass potential within the greater southern Appalachian region, an area which is...

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Bibliographic Details
Published in:Renewable energy 2011-11, Vol.36 (11), p.2785-2798
Main Authors: Arnette, Andrew N., Zobel, Christopher W.
Format: Article
Language:English
Subjects:
Applied sciences
Biomass
Biomass energy
Coal
Constraints
Electric potential
electricity
Energy
Exact sciences and technology
Geographic information systems
Regional
Renewable energy
Satellite navigation systems
Solar energy
wind
Wind energy
Wind power generation
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Summary:This research discusses the implementation of a geographic information system (GIS) for the simultaneous discovery of multiple types of renewable energy sources. In particular, the GIS model analyzes wind, solar, and biomass potential within the greater southern Appalachian region, an area which is currently very heavily dependent on coal for electricity generation. The location and availability of biomass is specifically considered in the context of potential co-fire generation within existing coal plants, while the availability of wind and solar power are based on both resource strength and the geographic, topographic, and regulatory constraints that provide limits on their use. The model determines potential wind and solar sites within the region, and potential biomass co-fire locations, based on these input constraints and it calculates the cost and generation characteristics for each site. ► We discuss a geographic information system for analyzing renewable energy potential. ► The system is focused on solar, wind, and biomass resources, at the regional level. ► The chosen region for application is the greater southern Appalachian mountains. ► Potential sites for each type of resource are identified, given regional constraints. ► Costs and potential impacts on regional electricity generation are discussed.
ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2011.04.024