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Generalized storage-reliability-yield framework for hydroelectric reservoirs

机译:水力发电储层的广义储存可靠性 - 产量框架

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Although storage-reliability-yield (SRY) relationships have been widely used in the design and planning of water supply reservoirs, their application in hydroelectricity is practically nil. Here, we revisit the SRY analysis and seek its generic configuration for hydroelectric reservoirs, following a stochastic simulation approach. After defining key concepts and tools of conventional SRY studies, we adapt them for hydropower systems, which are subject to several peculiarities. We illustrate that under some reasonable assumptions, the problem can be substantially simplified. Major innovations are the storage-head-energy conversion via the use of a sole parameter, representing the reservoir geometry, and the development of an empirical statistical metric expressing the reservoir performance on the basis of the simulated energy-probability curve. The proposed framework is applied to numerous hypothetical reservoirs at three river sites in Greece, using monthly synthetic inflow data, to provide empirical expressions of reliable energy as a function of reservoir storage and geometry.
机译:尽管储存可靠性 - 产量(Sry)的关系已被广泛用于供水储层的设计和规划,但它们在水电的应用实际上是零。在这里,我们通过随机仿真方法重新审视SRY分析并寻求其用于水力发电储层的通用配置。在定义传统SRY研究的关键概念和工具之后,我们适应它们的水电系统,其受到几种特殊性。我们说明,在一些合理的假设下,问题可以大大简化。主要创新是通过使用唯一参数,代表储层几何形状的存储头能量转换,以及在模拟能量概率曲线的基础上开发表达储层性能的经验统计指标。拟议的框架适用于希腊三河位点的许多假想储层,使用每月合成流入数据,提供可靠能源的经验表达,作为水库储存和几何形状的函数。

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