Your browser doesn't support javascript.
loading
Unlocking synergies of drawdown operation: Multi-objective optimization of reservoir emergency storage capacity.
Li, Shufei; Zhu, Di; Lin, Fanqi; Xia, Jun; Zhou, Yanlai; Chang, Fi-John; Xu, Chong-Yu.
Afiliação
  • Li S; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.
  • Zhu D; Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan, 430010, China.
  • Lin F; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.
  • Xia J; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China. Electronic address: xiajun666@whu.edu.cn.
  • Zhou Y; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China. Electronic address: yanlai.zhou@whu.edu.cn.
  • Chang FJ; Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan.
  • Xu CY; Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, N-0316, Oslo, Norway.
J Environ Manage ; 368: 122148, 2024 Aug 13.
Article em En | MEDLINE | ID: mdl-39142103
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.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article