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Optimal planning and design of run-of-river hydroelectric power projects

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  • Ibrahim, Mohamed
  • Imam, Yehya
  • Ghanem, Ashraf

Abstract

An optimal planning and preliminary-design (OPD) model was developed to maximize the annual net benefit of run-of-river (RoR) hydropower projects along a stream. The OPD model identifies optimal, non-overlapping RoR projects along the given stream. For each project, the OPD model determines intake location; penstock diameter and length; and type, number, and discharge of turbines. The OPD model applies genetic algorithm in two stages. The first stage optimizes design of individual potentially overlapping projects densely spaced at uniform intervals along the stream and the second stage determines the set of non-overlapping projects that maximizes the net hydropower benefit. Results of the OPD model compared favorably to results of previous models for a hypothetical case study. Further application of the OPD model to idealized case studies with different stream elevation profiles and with tributary flows indicated that the model gives reliable results. The OPD model was used to identify optimal RoR projects for the Guder River, Ethiopia. The OPD model identified 22 optimal RoR projects covering ∼49 km of the 127-km-long Guder River. The total annual generated energy from the identified projects is ∼540 GWh and the installed capacity for individual projects ranges between ∼1 MW and 21 MW.

Suggested Citation

  • Ibrahim, Mohamed & Imam, Yehya & Ghanem, Ashraf, 2019. "Optimal planning and design of run-of-river hydroelectric power projects," Renewable Energy, Elsevier, vol. 141(C), pages 858-873.
    • Handle: RePEc:eee:renene:v:141:y:2019:i:c:p:858-873
    DOI: 10.1016/j.renene.2019.04.009
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    1. Bragalli, Cristiana & Micocci, Domenico & Naldi, Giovanni, 2023. "On the influence of net head and efficiency fluctuations over the performance of existing run-of-river hydropower plants," Renewable Energy, Elsevier, vol. 206(C), pages 1170-1179.
    2. Sasthav, Colin & Oladosu, Gbadebo, 2022. "Environmental design of low-head run-of-river hydropower in the United States: A review of facility design models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    3. 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.
    4. Dong, Wenhui & Cao, Zezhou & Zhao, Pengchong & Yang, Zhenbiao & Yuan, Yichen & Zhao, Ziwen & Chen, Diyi & Wu, Yajun & Xu, Beibei & Venkateshkumar, M., 2023. "A segmented optimal PID method to consider both regulation performance and damping characteristic of hydroelectric power system," Renewable Energy, Elsevier, vol. 207(C), pages 1-12.
    5. Claude Boris Amougou & David Tsuanyo & Davide Fioriti & Joseph Kenfack & Abdoul Aziz & Patrice Elé Abiama, 2022. "LCOE-Based Optimization for the Design of Small Run-of-River Hydropower Plants," Energies, MDPI, vol. 15(20), pages 1-35, October.
    6. 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.

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