Optimization of selective withdrawal systems in hydropower reservoir considering water quality and quantity aspects

作者：

Highlights：

• Adaptive surrogate based simulation–optimization framework is used in this study.

• The optimal selective withdrawal system (SWS) in water reservoir is designed.

• Optimal reservoir operation rule in SWS is derived in this research.

• The hydropower energy and water quality issues are focused in SWS operation rule.

• Parametric reservoir operation rules in SWS are derived focusing on sustainability.

摘要

•Adaptive surrogate based simulation–optimization framework is used in this study.•The optimal selective withdrawal system (SWS) in water reservoir is designed.•Optimal reservoir operation rule in SWS is derived in this research.•The hydropower energy and water quality issues are focused in SWS operation rule.•Parametric reservoir operation rules in SWS are derived focusing on sustainability.

论文关键词：Adaptive surrogate based simulation-optimization,CE-QUAL-W2,Karkheh reservoir,Multi-objective particle swarm optimization algorithm,Surrogate model

论文评审过程：Received 1 September 2020, Revised 10 May 2021, Accepted 22 June 2021, Available online 27 June 2021, Version of Record 12 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115474