Advertisement

Water Resources Management

, Volume 32, Issue 12, pp 3919–3934 | Cite as

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

  • Parisa Sarzaeim
  • Omid Bozorg-Haddad
  • Babak Zolghadr-Asli
  • Elahe Fallah-Mehdipour
  • Hugo A. Loáiciga
Article
  • 229 Downloads

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.

Keywords

Climate change Design Run-of-river Uncertainty RCP Change factor Statistical downscaling model NSGA-II 

Notes

Acknowledgements

Authors thank Iran’s National Elites Foundation for financial support of this research.

Compliance with Ethical Standards

Conflict of Interests

None.

References

  1. Adhikary P, Roy PK, Mazumdar A (2012) Safe and efficient control of hydro power plant by fuzzy logic. Int J Eng Sci Adv Technol 2(5):1270–1277Google Scholar
  2. Anagnostopoulos JS, Papantonis D (2007) Optimal sizing of a run-of-river hydropower plant. Energy Convers Manag 48(10):2663–2670CrossRefGoogle Scholar
  3. Ashofteh PS, Bozorg-Haddad O, Mariño MA (2013) Scenario assessment of streamflow simulation and transition probability in future periods under climate change. J Water Resour Manag 27:255–274CrossRefGoogle Scholar
  4. Bozorg-Haddad O, Farhangi M, Fallah-Mehdipour E, Mariño MA (2014) Effects of inflow uncertainty on the performance of multireservoir systems. J Irrig Drain 140(11)Google Scholar
  5. Croke BFW, Jakeman AJ (2008) Hydrological modeling in arid and semi-arid areas. Cambridge University Press, CambridgeGoogle Scholar
  6. Deb K (1999) Multi-objective genetic algorithms: problem difficulties and construction of test problem. Evol Comput 7(3):205–230CrossRefGoogle Scholar
  7. Deb K, Goyal M (1996) A combined genetic adaptive search (GeneAS) for engineering design. J Comput Sci Info 26(4):30–45Google Scholar
  8. Ghorbani KH, Sohrabian E, Salarijazi M, Abdolhosseini M (2016) Prediction of climate change impact on monthly river discharge trend using IHACRES hydrological model (case study: Galikesh watershed). J Soil Water Resou Convers 5(4):19–34Google Scholar
  9. Jager HI, Bevelhimer MS (2007) How run-of-river operation affects hydropower generation and value. Environ Manag 40(6):1004–1015CrossRefGoogle Scholar
  10. Jung L, Moradkhani H, Chang H (2012) Uncertainty assessment of climate change impacts for hydrologically distinct river basins. J Hydrol 466-467:73–87CrossRefGoogle Scholar
  11. Littlewood IAN (2001) Practical aspects of calibrating and selecting unit hydrograph-based models for continuous river flow simulation. Hydrol Sci J 46(5):795–811CrossRefGoogle Scholar
  12. Motevalli M, Zadbar A, Elyasi E, Jalaal M (2015) Using Monte-Carlo approach for analysis of quantitative and qualitative operation of reservoirs systems with regard to the inflow unceratinty. J Afr Earth Sci 105:1–16CrossRefGoogle Scholar
  13. Rojanamon P, Chaisomphob T, Bureekul T (2009) Application of geographical information system to site selection of small run-of-river hydropower project by considering engineeringleconomics/environmental criteria and social impact. Renew Sust Energ Rev 13(9):2336–2348CrossRefGoogle Scholar
  14. Sammartano V, Aricò C, Sinagra M, Tucciarelli T (2015) Cross-flow turbine design for energy production and discharge regulation. J Hydraul Eng, 141(3)Google Scholar
  15. Sammartano V, Filianoti P, Morreale G, Sinagra M, Tucciarelli T (2016) Banki-Michell micro-turbines for energy production in water distribution networks. Proceedings of the 4th European congress of the International Association of Hydroenvironment Engineering and Research, IAHR 2016, 966–972Google Scholar
  16. Sammartano V, Filianoti P, Sinagra M, Tucciarelli T, Scelba G, Morreale G (2017) Coupled hydraulic and electronic regulation of cross-flow turbines in hydraulic plants. J Hydraul Eng, 143(1)Google Scholar
  17. Sarzaeim P, Bozorg-Haddad O, Fallah-Mehdipour E, Loáiciga HA (2017) Environmental water demand assessment under climate change conditions. Environ Monit Asses, 189(7)Google Scholar
  18. Tan ML, Ficklin DL, Ibrahim AL, Yusop Z (2014) Impacts and uncertainties of climate change on streamflow of the Johor river basin, Malaysia using a CMIP5 general circulation model ensemble. J Water Climate Chang 5(4):676–695CrossRefGoogle Scholar
  19. Vicuna S, Edwin PM, Joyce B, Dracup JA, Purkey D (2007) The sensitivity of California water resources to climate change scenarios. J Am Water Resour Assoc 43(2):482–498CrossRefGoogle Scholar
  20. Wilby RL, Harris I (2006) A framework for assessing uncertainties in climate change impacts: low-flow scenarios for the river Thames, UK. Water Resour Res, 42(2)Google Scholar
  21. Wilby RL, Dawson CW, Barrow EM (2002) SDSM-a decision support tool for the assessment of regional climate change impacts. J Environ Model Softw 17(2):145–157CrossRefGoogle Scholar
  22. Zhang Y, You Q, Chen C, Ge J (2016) Impacts of climate change on streamflow under RCP scenarios: a case study in Xin river basin, China. Atmos Res 178-179:512–534Google Scholar

Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  • Parisa Sarzaeim
    • 1
  • Omid Bozorg-Haddad
    • 1
  • Babak Zolghadr-Asli
    • 1
  • Elahe Fallah-Mehdipour
    • 1
    • 2
  • Hugo A. Loáiciga
    • 3
  1. 1.Department of Irrigation & Reclamation Engineering, Faculty of Agriculture Engineering & Technology, College of Agriculture & Natural ResourcesUniversity of TehranKarajIran
  2. 2.National Elites FoundationTehranIran
  3. 3.Department of GeographyUniversity of CaliforniaSanta BarbaraUSA

Personalised recommendations