This paper introduces innovative approaches for robust and computationally efficient optimal design of run-of-river hydropower plants. Compared with existing design software, it (1) integrates optimized turbine operations into design optimization instead of following predefined operational rules, and (2) combines this with a regular sampling of the flow duration curve to significantly reduce data inputs. Our rigorous benchmarking demonstrates that (1) operation optimization improves design performance at low computational cost, whilst (2) data input reduction slashes computational costs by over 92% with minimal impact on design recommendations and key robustness analysis insights. Taken together, these innovations make integrated design and operation optimization, complete with in-depth robustness analysis, laptop-accessible. They also reinforce sustainability efforts by minimizing the need for high-performance computing and large associated embodied greenhouse gas emissions.

中文翻译：

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适用于径流式水电的稳健且计算高效的设计


本文介绍了用于径流式水电站稳健且计算高效的优化设计的创新方法。与现有设计软件相比，它 （1） 将优化的涡轮机操作集成到设计优化中，而不是遵循预定义的操作规则，以及 （2） 将其与流持续时间曲线的定期采样相结合，以显着减少数据输入。我们严格的基准测试表明，（1） 操作优化以较低的计算成本提高了设计性能，同时 （2） 数据输入减少将计算成本降低了 92% 以上，同时对设计建议和关键稳健性分析见解的影响最小。总而言之，这些创新使集成设计和操作优化以及深入的稳健性分析成为可能，可以在笔记本电脑上访问。它们还通过最大限度地减少对高性能计算的需求和大量相关的隐含温室气体排放来加强可持续发展工作。