Influence of nonstationarity on reservoir storage-yield-reliability relationships

Pub Date : 2022-01-01 DOI:10.1590/2318-0331.272220220043
Henrique Degraf, D. H. M. Detzel
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引用次数: 1

Abstract

ABSTRACT The reservoir storage-yield-reliability (S-Y-R) curve defines the required volume to meet a specific yield. It is typically obtained through the historical streamflow time series; however, as an effect of nonstationarity, the statistical properties of a streamflow series may vary, which might lead to a change in the reservoir’s operational risk. In this study we explore this issue by analyzing two sets of annual data: (i) natural energy flows to aggregated reservoirs, and (ii) streamflow time series of four hydropower plants currently in operation in Brazil. The study is supported by Monte Carlo simulations to account for the reliability of the S-Y-R curves. Results suggest that the time series from the Southern and Northeast regions exhibit upward and downward trends, respectively. Consequently, the regularization capacity of the Southern reservoir decreased, however only in relative terms. On the other hand, the Northeastern reservoir had an actual loss of its regularization capacity as an effect of lower average streamflow.
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非平稳性对水库库容-产量-可靠性关系的影响
水库存储量-产量-可靠性(S-Y-R)曲线定义了满足特定产量所需的体积。它通常通过历史流时间序列获得;然而,由于非平稳性的影响,流量序列的统计特性可能会发生变化,从而导致水库运行风险的变化。在这项研究中,我们通过分析两组年度数据来探讨这个问题:(i)自然能量流向聚合水库,(ii)目前在巴西运行的四个水电站的流量时间序列。该研究得到了蒙特卡罗模拟的支持,以说明S-Y-R曲线的可靠性。结果表明,南方和东北地区的时间序列分别呈上升和下降趋势。因此,南部水库的正规化能力下降,但只是相对而言。另一方面,由于平均流量较低的影响,东北水库的正则化能力实际丧失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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