Optimal operation of hydropower reservoirs under climate change

Ehteram, Mohammad and Ahmed, Ali Najah and Fai, Chow Ming and Latif, Sarmad Dashti and Chau, Kwok-wing and Chong, Kai Lun and El-Shafie, Ahmed (2023) Optimal operation of hydropower reservoirs under climate change. Environment Development and Sustainability, 25 (10). pp. 10627-10659. ISSN 1387-585X, DOI https://doi.org/10.1007/s10668-022-02497-y.

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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.

Item Type: Article
Funders: Ministry of Education, Malaysia, Malaysia for Fundamental Research Grant Scheme (FRGS) (FRGS/1/2020/TK0/UNITEN/02/16)
Uncontrolled Keywords: Metaheuristic algorithm; Nonadaptive rule curves; Adaptive rule curves; Hydropower generation
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Civil Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 30 Oct 2025 06:56
Last Modified: 30 Oct 2025 06:56
URI: http://eprints.um.edu.my/id/eprint/50045

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