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Unlocking synergies of drawdown operation: Multi-objective optimization of reservoir emergency storage capacity.
- Source :
-
Journal of environmental management [J Environ Manage] 2024 Sep; Vol. 368, pp. 122148. Date of Electronic Publication: 2024 Aug 13. - Publication Year :
- 2024
-
Abstract
- Optimizing reservoir drawdown operations holds significant implications for hydropower generation, water supply, and drought mitigation strategies. However, achieving multi-objective optimization in reservoir drawdown operations poses fundamental challenges, particularly considering emergency storage capacity and seasonal drought patterns. This study introduces a novel multi-objective optimization framework tailored for a mega reservoir, focusing on drawdown operations to enhance hydropower generation and water supply reliability. A drawdown operation model leveraging a multi-objective ant lion optimizer is developed to simultaneously maximize reservoir hydropower output and minimize water shortage rates. China's Three Gorges Reservoir (TGR), situated over the upper reaches of the Yangtze River, constitutes the case study, with the standard operation policy (SOP) serving as a benchmark. Results showcase the efficacy of the proposed method, with substantial improvements observed: a 10.6% increase in hydropower output, a 6.0% reduction in water shortage days, and a 9.5% decrease in minimal reservoir water release compared to SOP. This study provides robust technical and scientific bolster to optimize reservoir ESC and enhance the synergy between hydropower generation, water supply, and drought resilience. Additionally, it offers decision-makers actionable strategies that account for emergency water supply capacities. These strategies aim to support mega reservoir's resilience against extreme drought events facilitating the collaboration between modelers and policy-makers, by means of intelligent optimization and decision-making technologies.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Subjects :
- China
Droughts
Models, Theoretical
Rivers
Water Supply
Subjects
Details
- Language :
- English
- ISSN :
- 1095-8630
- Volume :
- 368
- Database :
- MEDLINE
- Journal :
- Journal of environmental management
- Publication Type :
- Academic Journal
- Accession number :
- 39142103
- Full Text :
- https://doi.org/10.1016/j.jenvman.2024.122148