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A GIS-based assessment of maximum potential hydropower production in La Plata basin under global changes

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  • Palomino Cuya, Daly Grace
  • Brandimarte, Luigia
  • Popescu, Ioana
  • Alterach, Julio
  • Peviani, Maximo

Abstract

Population growth, economic development, urbanization, changes in hydrological regimes and land use are the main drivers affecting allocation and exploitation of water resources. The pressure exerted by these global changes on the five countries -Argentina, Bolivia, Brazil, Paraguay and Uruguay- located in La Plata Basin over the last decades has raised the need for assessing trends in future electricity demand and energy production in the basin.

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  • Palomino Cuya, Daly Grace & Brandimarte, Luigia & Popescu, Ioana & Alterach, Julio & Peviani, Maximo, 2013. "A GIS-based assessment of maximum potential hydropower production in La Plata basin under global changes," Renewable Energy, Elsevier, vol. 50(C), pages 103-114.
    • Handle: RePEc:eee:renene:v:50:y:2013:i:c:p:103-114
    DOI: 10.1016/j.renene.2012.06.019
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    References listed on IDEAS

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    7. Yi, Choong-Sung & Lee, Jin-Hee & Shim, Myung-Pil, 2010. "Site location analysis for small hydropower using geo-spatial information system," Renewable Energy, Elsevier, vol. 35(4), pages 852-861.
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    6. Moiz, Abdul & Kawasaki, Akiyuki & Koike, Toshio & Shrestha, Maheswor, 2018. "A systematic decision support tool for robust hydropower site selection in poorly gauged basins," Applied Energy, Elsevier, vol. 224(C), pages 309-321.
    7. Gerardo Alcalá & Luis Fernando Grisales-Noreña & Quetzalcoatl Hernandez-Escobedo & Jose Javier Muñoz-Criollo & J. D. Revuelta-Acosta, 2021. "SHP Assessment for a Run-of-River (RoR) Scheme Using a Rectangular Mesh Sweeping Approach (MSA) Based on GIS," Energies, MDPI, vol. 14(11), pages 1-21, May.
    8. Zhang, Jin & Xu, Linyu & Li, Xiaojin, 2015. "Review on the externalities of hydropower: A comparison between large and small hydropower projects in Tibet based on the CO2 equivalent," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 176-185.
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    10. Soulis, Konstantinos X. & Manolakos, Dimitris & Anagnostopoulos, John & Papantonis, Dimitris, 2016. "Development of a geo-information system embedding a spatially distributed hydrological model for the preliminary assessment of the hydropower potential of historical hydro sites in poorly gauged areas," Renewable Energy, Elsevier, vol. 92(C), pages 222-232.
    11. de Souza, Zulcy & Tiago Filho, Geraldo Lúcio & Barros, Regina Mambeli & Silva dos Santos, Ivan Felipe & da Silva, Fernando das Graças Braga & Prado Leite, Marcelo Daige & Prudente, Érica Patricia, 2017. "The limit of sequential exploitation of a river’s hydraulic potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 272-285.
    12. Alexandros Korkovelos & Dimitrios Mentis & Shahid Hussain Siyal & Christopher Arderne & Holger Rogner & Morgan Bazilian & Mark Howells & Hylke Beck & Ad De Roo, 2018. "A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa," Energies, MDPI, vol. 11(11), pages 1-21, November.
    13. Scaramuzzino, Chiara & Garegnani, Giulia & Zambelli, Pietro, 2019. "Integrated approach for the identification of spatial patterns related to renewable energy potential in European territories," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 1-13.
    14. Soulis, Konstantinos X. & Manolakos, Dimitris & Ntavou, Erika & Kosmadakis, George, 2022. "A geospatial analysis approach for the operational assessment of solar ORC systems. Case study: Performance evaluation of a two-stage solar ORC engine in Greece," Renewable Energy, Elsevier, vol. 181(C), pages 116-128.
    15. Abdelhady, Hazem U. & Imam, Yehya E. & Shawwash, Ziad & Ghanem, Ashraf, 2021. "Parallelized Bi-level optimization model with continuous search domain for selection of run-of-river hydropower projects," Renewable Energy, Elsevier, vol. 167(C), pages 116-131.
    16. MacMillan, Andrew & Schell, Kristen R. & Roughley, Colter, 2023. "A predictive model of velocity for local hydrokinetic power assessment based on remote sensing data," Renewable Energy, Elsevier, vol. 211(C), pages 285-295.

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