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A generic GIS-based method for small Pumped Hydro Energy Storage (PHES) potential evaluation at large scale

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  • Rogeau, A.
  • Girard, R.
  • Kariniotakis, G.

Abstract

The increasing share of weather-dependent renewable energies in power systems creates a need for energy storage technologies to reduce the impacts of variable production. The most mature technology to store energy on the grid remains Pumped Hydro Energy Storage (PHES). The potential of high-energy sites has already been assessed in Europe by the EU JRC, considering mostly dams and reservoirs from global European databases which include only massive water bodies. This paper focuses on estimating the potential for small-PHES, proven to have lower environmental impact and an positive impact on grid balance and reliability. A generic method is designed, able to evaluate a global PHES storage capacity at large scale. It considers both existing lakes and natural depressions suitable to be filled for PHES purposes. The volume of filled lakes is estimated using the surrounding topography. The method is organized so that the “heavy” calculations, i.e. sink detection, volume evaluation, constraints verification, etc. are run only once. Consequently, the actual potential estimation phase only includes fast calculations and can be integrated in a loop for carrying out a sensitivity analysis. The proposed method is then applied considering France as a test case. Suitable environmental, land-use and structural constraints are applied to eliminate irrelevant sites. The analysis leads to an estimated value of the small-PHES potential in France, which ranges from 14GWh when only existing lakes are considered to 33GWh when lakes and depressions are considered. These estimations represent respectively 8% and 18% of the current hydro storage capacity in France. Thanks to a global sensitivity analysis, factors like the maximum distance between lakes, the maximum altitude of the sites, and the distance to the electrical grid are shown to have the most influence on the global evaluated potential, which is further sensitized. Lastly, another application is suggested that makes it possible to select the connections to be built first within a restricted area, based on a cost-per-energy-like approach. It uses the connections between reservoirs detected at large geographical scale.

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  • Rogeau, A. & Girard, R. & Kariniotakis, G., 2017. "A generic GIS-based method for small Pumped Hydro Energy Storage (PHES) potential evaluation at large scale," Applied Energy, Elsevier, vol. 197(C), pages 241-253.
    • Handle: RePEc:eee:appene:v:197:y:2017:i:c:p:241-253
    DOI: 10.1016/j.apenergy.2017.03.103
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    2. Wu, Yunna & Zhang, Ting & Xu, Chuanbo & Zhang, Xiaoyu & Ke, Yiming & Chu, Han & Xu, Ruhang, 2019. "Location selection of seawater pumped hydro storage station in China based on multi-attribute decision making," Renewable Energy, Elsevier, vol. 139(C), pages 410-425.
    3. Li, Deyou & Wang, Hongjie & Qin, Yonglin & Li, Zhenggui & Wei, Xianzhu & Qin, Daqing, 2018. "Mechanism of high amplitude low frequency fluctuations in a pump-turbine in pump mode," Renewable Energy, Elsevier, vol. 126(C), pages 668-680.
    4. Bekker, A. & Van Dijk, M. & Niebuhr, C.M., 2022. "A review of low head hydropower at wastewater treatment works and development of an evaluation framework for South Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    5. Hilario J. Torres-Herrera & Alexis Lozano-Medina, 2021. "Methodological Proposal for the Assessment Potential of Pumped Hydropower Energy Storage: Case of Gran Canaria Island," Energies, MDPI, vol. 14(12), pages 1-27, June.
    6. Wei Wang & Yanbin Li & Jinzhong Li & Yun Li, 2024. "Can pumped-storage power stations stimulate rural revitalization? Evidence from the four-party evolutionary game," Journal of Evolutionary Economics, Springer, vol. 34(3), pages 595-645, July.
    7. Heggarty, Thomas & Bourmaud, Jean-Yves & Girard, Robin & Kariniotakis, Georges, 2019. "Multi-temporal assessment of power system flexibility requirement," Applied Energy, Elsevier, vol. 238(C), pages 1327-1336.
    8. Fan, Jinyang & Xie, Heping & Chen, Jie & Jiang, Deyi & Li, Cunbao & Ngaha Tiedeu, William & Ambre, Julien, 2020. "Preliminary feasibility analysis of a hybrid pumped-hydro energy storage system using abandoned coal mine goafs," Applied Energy, Elsevier, vol. 258(C).
    9. Toufani, Parinaz & Nadar, Emre & Kocaman, Ayse Selin, 2022. "Short-term assessment of pumped hydro energy storage configurations: Up, down, or closed?," Renewable Energy, Elsevier, vol. 201(P1), pages 1086-1095.
    10. Ghorbani, Narges & Makian, Hamed & Breyer, Christian, 2019. "A GIS-based method to identify potential sites for pumped hydro energy storage - Case of Iran," Energy, Elsevier, vol. 169(C), pages 854-867.
    11. Soha, Tamás & Munkácsy, Béla & Harmat, Ádám & Csontos, Csaba & Horváth, Gergely & Tamás, László & Csüllög, Gábor & Daróczi, Henriett & Sáfián, Fanni & Szabó, Mária, 2017. "GIS-based assessment of the opportunities for small-scale pumped hydro energy storage in middle-mountain areas focusing on artificial landscape features," Energy, Elsevier, vol. 141(C), pages 1363-1373.
    12. Jurasz, Jakub & Piasecki, Adam & Hunt, Julian & Zheng, Wandong & Ma, Tao & Kies, Alexander, 2022. "Building integrated pumped-storage potential on a city scale: An analysis based on geographic information systems," Energy, Elsevier, vol. 242(C).
    13. Lu, Bin & Stocks, Matthew & Blakers, Andrew & Anderson, Kirsten, 2018. "Geographic information system algorithms to locate prospective sites for pumped hydro energy storage," Applied Energy, Elsevier, vol. 222(C), pages 300-312.
    14. Nzotcha, Urbain & Kenfack, Joseph & Blanche Manjia, Marceline, 2019. "Integrated multi-criteria decision making methodology for pumped hydro-energy storage plant site selection from a sustainable development perspective with an application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 930-947.
    15. Ali, Shahid & Stewart, Rodney A. & Sahin, Oz & Vieira, Abel Silva, 2023. "Integrated GIS-AHP-based approach for off-river pumped hydro energy storage site selection," Applied Energy, Elsevier, vol. 337(C).
    16. Ali, Shahid & Stewart, Rodney A. & Sahin, Oz & Vieira, Abel Silva, 2024. "Spatial bayesian approach for socio-economic assessment of pumped hydro storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    17. Al Garni, Hassan Z. & Awasthi, Anjali, 2017. "Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia," Applied Energy, Elsevier, vol. 206(C), pages 1225-1240.
    18. Martín, Mariano & Grossmann, Ignacio E., 2018. "Optimal integration of renewable based processes for fuels and power production: Spain case study," Applied Energy, Elsevier, vol. 213(C), pages 595-610.
    19. Görtz, J. & Aouad, M. & Wieprecht, S. & Terheiden, K., 2022. "Assessment of pumped hydropower energy storage potential along rivers and shorelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    20. Haas, Jannik & Prieto-Miranda, Luis & Ghorbani, Narges & Breyer, Christian, 2022. "Revisiting the potential of pumped-hydro energy storage: A method to detect economically attractive sites," Renewable Energy, Elsevier, vol. 181(C), pages 182-193.
    21. Nzotcha, Urbain & Nsangou, Jean Calvin & Kenfack, Joseph & Ngohe-Ekam, Paul Salomon & Hamandjoda, Oumarou & Bignom, Blaise, 2021. "Combining electric energy storage and deep-lake degassing by means of pumped hydropower," Applied Energy, Elsevier, vol. 304(C).
    22. Emmanouil, Stergios & Nikolopoulos, Efthymios I. & François, Baptiste & Brown, Casey & Anagnostou, Emmanouil N., 2021. "Evaluating existing water supply reservoirs as small-scale pumped hydroelectric storage options – A case study in Connecticut," Energy, Elsevier, vol. 226(C).
    23. Paolo Sospiro & Leonardo Nibbi & Marco Ciro Liscio & Maurizio De Lucia, 2021. "Cost–Benefit Analysis of Pumped Hydroelectricity Storage Investment in China," Energies, MDPI, vol. 14(24), pages 1-20, December.

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