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Optimization of Run-of-River Hydropower Plant Design under Climate Change Conditions

Author

Listed:
  • Parisa Sarzaeim

    (University of Tehran)

  • Omid Bozorg-Haddad

    (University of Tehran)

  • Babak Zolghadr-Asli

    (University of Tehran)

  • Elahe Fallah-Mehdipour

    (University of Tehran
    National Elites Foundation)

  • Hugo A. Loáiciga

    (University of California)

Abstract

The assessment of climate change and its impacts on hydropower generation is a complex issue. This paper evaluates the application of representative concentration pathways (RCPs, 2.6, 4.5, and 8.5) with the change factor (CF) method and the statistical downscaling method (SDSM) to generate six climatic scenarios of monthly temperature and rainfall over the period 2020–2049 in the Karkheh basin, Iran. The identification of unit hydrographs and component flows from rainfall, evaporation and streamflow data (IHACRES) model was employed to simulate runoff for the purpose of designing a run-of-river hydropower plant in the Karkheh basin. The non-dominated sorting genetic algorithm (NSGA)-II was employed to maximize yearly energy generation and the plant factor, simultaneously. Results indicate the runoff scenarios associated with the SDSM lead to higher run-of-river hydropower generation in 2020–2049 compared to the CF results.

Suggested Citation

  • Parisa Sarzaeim & Omid Bozorg-Haddad & Babak Zolghadr-Asli & Elahe Fallah-Mehdipour & Hugo A. Loáiciga, 2018. "Optimization of Run-of-River Hydropower Plant Design under Climate Change Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 3919-3934, September.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:12:d:10.1007_s11269-018-2027-0
    DOI: 10.1007/s11269-018-2027-0
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    References listed on IDEAS

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    1. Parisa Ashofteh & Omid Bozorg Haddad & Miguel Mariño, 2013. "Scenario Assessment of Streamflow Simulation and its Transition Probability in Future Periods Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 255-274, January.
    2. Rojanamon, Pannathat & Chaisomphob, Taweep & Bureekul, Thawilwadee, 2009. "Application of geographical information system to site selection of small run-of-river hydropower project by considering engineering/economic/environmental criteria and social impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2336-2348, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Senni, Chiara Colesanti & von Jagow, Adrian, 2023. "Water risks for hydroelectricity generation," LSE Research Online Documents on Economics 119256, London School of Economics and Political Science, LSE Library.
    2. Mehri Abdi-Dehkordi & Omid Bozorg-Haddad & Xuefeng Chu, 2021. "Development of a Combined Index to Evaluate Sustainability of Water Resources Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 2965-2985, July.
    3. Kobra Rahmati & Parisa-Sadat Ashofteh & Hugo A. Loáiciga, 2021. "Application of the Grasshopper Optimization Algorithm (GOA) to the Optimal Operation of Hydropower Reservoir Systems Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4325-4348, October.
    4. 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).
    5. Colesanti Senni, Chiara & Goel, Skand & von Jagow, Adrian, 2024. "Economic and financial consequences of water risks: The case of hydropower," Ecological Economics, Elsevier, vol. 218(C).
    6. Ali Arefinia & Omid Bozorg-Haddad & Khaled Ahmadaali & Javad Bazrafshan & Babak Zolghadr-Asli & Xuefeng Chu, 2022. "Estimation of geographical variations in virtual water content and crop yield under climate change: comparison of three data mining approaches," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8378-8396, June.
    7. Elahe Fallah-Mehdipour & Omid Bozorg-Haddad & Xuefeng Chu, 2021. "Environmental demand effects on the energy generation of Karkheh reservoir: Base and climate change conditions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13165-13181, September.

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