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Article

Identification of Potential Locations for Run-of-River Hydropower Plants Using a GIS-Based Procedure

1
Department of Civil, Environmental, Aerospace Engineering, and Materials, University of Palermo, 90133 Palermo, Italy
2
Faculty of Engineering and Architecture, University of Enna, 94100 Enna, Italy
*
Author to whom correspondence should be addressed.
Energies 2019, 12(18), 3446; https://doi.org/10.3390/en12183446
Submission received: 10 August 2019 / Revised: 2 September 2019 / Accepted: 3 September 2019 / Published: 6 September 2019
(This article belongs to the Special Issue Energy Demand and Small Scale Renewable Energy Applications)

Abstract

The increasing demand for renewable and sustainable energy sources has encouraged the development of small run-of-river plants. Preliminary studies are required to assess the technical and economic feasibility of such plants. In this context, the identification of optimal potential run-of-river sites has become a key issue. In this paper, an approach that is based on GIS tools coupled with a hydrological model has been applied to detect potential locations for a run-of-river plant. A great number of locations has been analyzed to identify those that could assure the achievement of different thresholds of potential power. The environmental and economic feasibility for small hydropower projects in these locations has been assessed and a multi-objective analysis has been carried out to highlight the most profitable configurations. The Soil and Water Assessment Tool (SWAT) has been calibrated to simulate runoff in the Taw at Umberleigh catchment (South West England). The results showed that, in the area of study, different locations could be selected as suitable for run-of-river plants.
Keywords: run-of-river; small hydropower; renewable energy; rainfall-runoff modelling; SWAT; GIS-based procedure run-of-river; small hydropower; renewable energy; rainfall-runoff modelling; SWAT; GIS-based procedure

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MDPI and ACS Style

Sammartano, V.; Liuzzo, L.; Freni, G. Identification of Potential Locations for Run-of-River Hydropower Plants Using a GIS-Based Procedure. Energies 2019, 12, 3446. https://doi.org/10.3390/en12183446

AMA Style

Sammartano V, Liuzzo L, Freni G. Identification of Potential Locations for Run-of-River Hydropower Plants Using a GIS-Based Procedure. Energies. 2019; 12(18):3446. https://doi.org/10.3390/en12183446

Chicago/Turabian Style

Sammartano, Vincenzo, Lorena Liuzzo, and Gabriele Freni. 2019. "Identification of Potential Locations for Run-of-River Hydropower Plants Using a GIS-Based Procedure" Energies 12, no. 18: 3446. https://doi.org/10.3390/en12183446

APA Style

Sammartano, V., Liuzzo, L., & Freni, G. (2019). Identification of Potential Locations for Run-of-River Hydropower Plants Using a GIS-Based Procedure. Energies, 12(18), 3446. https://doi.org/10.3390/en12183446

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