Optimal operation of hydropower reservoirs under climate change

Mohammad Ehteram (), Ali Najah Ahmed (), Ming Fai Chow (), Sarmad Dashti Latif (), Kwok-wing Chau (), Kai Lun Chong () and Ahmed El-Shafie ()
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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)

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2023, vol. 25, issue 10, No 5, 10627-10659

Abstract: 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.

Keywords: Metaheuristic algorithm; Nonadaptive rule curves; Adaptive rule curves; Hydropower generation (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10668-022-02497-y

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