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Optimal operation of hydropower reservoirs under climate change

Author

Listed:
  • Mohammad Ehteram

    (Semnan University)

  • Ali Najah Ahmed

    (Universiti Tenaga Nasional (UNITEN))

  • Ming Fai Chow

    (Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway)

  • Sarmad Dashti Latif

    (Komar University of Science and Technology)

  • Kwok-wing Chau

    (Hong Kong Polytechnic University)

  • Kai Lun Chong

    (Universiti Tunku Abdul Rahman, Jalan Bandar Sg. Long, Bandar Sg. Long, Cheras)

  • Ahmed El-Shafie

    (University of Malaya (UM)
    United Arab Emirates University)

Abstract

The current research aims to optimize the water release to generate optimal hydropower generation for the future up to the year 2039. The study’s novelty is the adaptive and nonadaptive rule curves for power production using optimization algorithms under the climate change model. In addition, the study used the RCP 8.5 scenario based on seven climate change models. A weighting method was used to select the best climate change models. The method can allocate more weights to more accurate models. The results revealed that the temperature increased by about 26% in the future, while precipitation would decreased by around 3%. The bat algorithm was also used, given it is a powerful method in solving optimization problems in water resources management. The results indicated that less power could be generated during the future period in comparison with the base period as there will be less inflow to the reservoir and released water for hydropower generation. However, by applying adaptive rule curves, the hydropower generation may be improved even under the climate change conditions. For example, the volumetric reliability index obtained when using adaptive rule curves (92%) was higher than when nonadaptive rule curves (90%) were applied. Also, the adoption of adaptive rule curves decreased the vulnerability index for the future period. Therefore, the bat algorithm with adaptive rule curves has a high potential for optimizing reservoir operations under the climate change conditions.

Suggested Citation

  • Mohammad Ehteram & Ali Najah Ahmed & Ming Fai Chow & Sarmad Dashti Latif & Kwok-wing Chau & Kai Lun Chong & Ahmed El-Shafie, 2023. "Optimal operation of hydropower reservoirs under climate change," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10627-10659, October.
    • Handle: RePEc:spr:endesu:v:25:y:2023:i:10:d:10.1007_s10668-022-02497-y
    DOI: 10.1007/s10668-022-02497-y
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    References listed on IDEAS

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    1. Mohammed Falah Allawi & Othman Jaafar & Mohammad Ehteram & Firdaus Mohamad Hamzah & Ahmed El-Shafie, 2018. "Synchronizing Artificial Intelligence Models for Operating the Dam and Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3373-3389, August.
    2. Aida Tayebiyan & Thamer Ahmed Mohammed Ali & Abdul Halim Ghazali & M. A. Malek, 2016. "Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1203-1216, February.
    3. Hojat Karami & Saeed Farzin & Aylin Jahangiri & Mohammad Ehteram & Ozgur Kisi & Ahmed El-Shafie, 2019. "Multi-Reservoir System Optimization Based on Hybrid Gravitational Algorithm to Minimize Water-Supply Deficiencies," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2741-2760, June.
    4. Byman H. Hamududu & Hambulo Ngoma, 2020. "Impacts of climate change on water resources availability in Zambia: implications for irrigation development," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 2817-2838, April.
    5. M. Ahmadi & Omid Bozorg Haddad & M. Mariño, 2014. "Extraction of Flexible Multi-Objective Real-Time Reservoir Operation Rules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 131-147, January.
    6. Ali Zarei & Sayed-Farhad Mousavi & Madjid Eshaghi Gordji & Hojat Karami, 2019. "Optimal Reservoir Operation Using Bat and Particle Swarm Algorithm and Game Theory Based on Optimal Water Allocation among Consumers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3071-3093, July.
    7. Mahsa Jahandideh-Tehrani & Omid Bozorg Haddad & Hugo Loáiciga, 2015. "Hydropower Reservoir Management Under Climate Change: The Karoon Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 749-770, February.
    8. Mohammad Ehteram & Ali Najah Ahmed & Chow Ming Fai & Haitham Abdulmohsin Afan & Ahmed El-Shafie, 2019. "Accuracy Enhancement for Zone Mapping of a Solar Radiation Forecasting Based Multi-Objective Model for Better Management of the Generation of Renewable Energy," Energies, MDPI, vol. 12(14), pages 1-26, July.
    9. Fatemeh Barzegari Banadkooki & Mohammad Ehteram & Ali Najah Ahmed & Chow Ming Fai & Haitham Abdulmohsin Afan & Wani M. Ridwam & Ahmed Sefelnasr & Ahmed El-Shafie, 2019. "Precipitation Forecasting Using Multilayer Neural Network and Support Vector Machine Optimization Based on Flow Regime Algorithm Taking into Account Uncertainties of Soft Computing Models," Sustainability, MDPI, vol. 11(23), pages 1-21, November.
    10. Hamidreza Ghazvinian & Sayed-Farhad Mousavi & Hojat Karami & Saeed Farzin & Mohammad Ehteram & Md Shabbir Hossain & Chow Ming Fai & Huzaifa Bin Hashim & Vijay P Singh & Faizah Che Ros & Ali Najah Ahme, 2019. "Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-24, May.
    11. Nazak Rouzegari & Yousef Hassanzadeh & Mohammad Taghi Sattari, 2019. "Using the Hybrid Simulated Annealing-M5 Tree Algorithms to Extract the If-Then Operation Rules in a Single Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3655-3672, August.
    12. Mike Spiliotis & Luis Mediero & Luis Garrote, 2016. "Optimization of Hedging Rules for Reservoir Operation During Droughts Based on Particle Swarm Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(15), pages 5759-5778, December.
    13. Mohammad Ehteram & Vijay P Singh & Ahmad Ferdowsi & Sayed Farhad Mousavi & Saeed Farzin & Hojat Karami & Nuruol Syuhadaa Mohd & Haitham Abdulmohsin Afan & Sai Hin Lai & Ozgur Kisi & M A Malek & Ali Na, 2019. "An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-25, May.
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