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Technological advances in prospecting sites for pumped hydro energy storage

Author

Listed:
  • Akpoti, Komlavi
  • Obahoundje, S.
  • Mortey, E. M.
  • Diawuo, F. A.
  • Antwi, E. O.
  • Gyamfi, S.
  • Domfeh, M. K.
  • Kabo-bah, A. T.

Abstract

This chapter provides a survey of pumped hydroelectric energy storage (PHES) in terms of the factors considered in the site selection process: geographic, social, economic, and environmental. Due to the number and complexity of factors considered for this purpose, a multicriteria decision-making model is often used during the selection process. From our study, it is observed that the implementation of a PHES project may come with several environmental concerns, that is land and water requirements, impacts on the fishery industry, aquatic habitat, cultural, historical as well as natural. However, we also observed that many of these concerns are being addressed with improvement in PHES technology.

Suggested Citation

  • Akpoti, Komlavi & Obahoundje, S. & Mortey, E. M. & Diawuo, F. A. & Antwi, E. O. & Gyamfi, S. & Domfeh, M. K. & Kabo-bah, A. T., . "Technological advances in prospecting sites for pumped hydro energy storage," Book Chapters,, International Water Management Institute.
    • Handle: RePEc:ags:iwmibc:339127
    DOI: 10.22004/ag.econ.339127
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    References listed on IDEAS

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    2. Olabi, A.G. & Onumaegbu, C. & Wilberforce, Tabbi & Ramadan, Mohamad & Abdelkareem, Mohammad Ali & Al – Alami, Abdul Hai, 2021. "Critical review of energy storage systems," Energy, Elsevier, vol. 214(C).
    3. Bas J. van Ruijven & Enrica De Cian & Ian Sue Wing, 2019. "Amplification of future energy demand growth due to climate change," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
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    Cited by:

    1. Hu, ZhiWen & Wang, HanYi, 2024. "Feasibility study of energy storage using hydraulic fracturing in shale formations," Applied Energy, Elsevier, vol. 354(PB).
    2. Obahoundje, Salomon & Diedhiou, Arona & Akpoti, Komlavi & Kouassi, Kouakou Lazare & Ofosu, Eric Antwi & Marcel Kouame, Didier Guy, 2024. "Predicting climate-driven changes in reservoir inflows and hydropower in Côte d'Ivoire using machine learning modeling," Energy, Elsevier, vol. 302(C).

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