Evaluating the Impact of Streamflow Rating Curve Precision on Firm Energy of Hydropower Plants

Westin, Luiz Gustavo F.; Conceição, Lucas R.; Bortoni, Edson C.; Marcato, André L. M.; Ribeiro, Celso Bandeira de Melo; Honório, Leonardo de Mello

doi:10.3390/w13081016

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Acoustic Doppler current profiler (ADCP) is a popular Doppler sonar used for measuring water velocity and profile discharge in natural and human-made waterways. Due to the advantages of high estimation accuracy, multiple measurement parameters and low measurement cost, the ADCP has been widely used in the fields of hydrological survey, water resources exploration, underwater protection and navigation [1][2][3][4][5], etc. For example, 98% of United States Geological Survey (USGS) non-wading river discharge measurements were performed by ADCP in 2013 [6].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints

Yang

Fang

2021

Sensors

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Broadband acoustic Doppler current profiler (ADCP) is widely used in agricultural water resource explorations, such as river discharge monitoring and flood warning. Improving the velocity estimation accuracy of broadband ADCP by adjusting the waveform parameters of a phase-encoded signal will reduce the velocity measurement range and water stratification accuracy, while the promotion of stratification accuracy will degrade the velocity estimation accuracy. In order to minimize the impact of these two problems on the measurement results, the ADCP waveform optimization problem that satisfies the environment constraints while keeping high velocity estimation accuracy or stratification accuracy is studied. Firstly, the relationship between velocity or distance estimation accuracy and signal waveform parameters is studied by using an ambiguity function. Secondly, the constraints of current velocity range, velocity distribution and other environmental characteristics on the waveform parameters are studied. For two common measurement applications, two dynamic configuration methods of waveform parameters with environmental adaptability and optimal velocity estimation accuracy or stratification accuracy are proposed based on the nonlinear programming principle. Experimental results show that compared with the existing methods, the velocity estimation accuracy of the proposed method is improved by more than 50%, and the stratification accuracy is improved by more than 22%.

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Section: Introductionmentioning

confidence: 99%

Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints

Yang

Fang

2021

Sensors

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Methodology for Estimating Streamflow by Water Balance and Rating Curve Methods Based on Logistic Regression

Generoso

Silva

Amorim

et al. 2022

Water Resour Manage

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The water balance method is used, in Brazil, to estimate the out ow from the regularization reservoirs, based on hourly data. The the rating curve method, normally adopted in conventional stream ow gauge stations of the hydrometeorological network national, the values are estimated from the average of two daily readings of the water level elevation and requires the use of extrapolation techniques to the estimation of values outside the validation limits. The objective of study was to analyze the variation of the reservoir's hourly out ows Queimado Hydroelectric Power Plant (HPP Queimado) and to propose a method to evaluate whether the estimate of the daily out ows, obtained by the water balance method, are similar to the ow values obtained at a stream ow gauge station of the ANA network. The logistic regression model was used because it is a method that adopts binary categorical dependent variables to identify the event of interest. The results showed that the average values of stream ow obtained between the observations made from the average of 2 or 24 readings daily were close, so that the estimated data for two daily readings show good representation regarding the variability of the ows in the region. The water balance and rating curve methods showed similar statistical performance for most of the stream ow data considered. The logistic regression was able to identify atypical data in the series of analyzed ows, especially in the rainy season, which are mainly associated with the methods for extrapolation of the rating curve.

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Evaluating the Impact of Streamflow Rating Curve Precision on Firm Energy of Hydropower Plants

Cited by 2 publications

References 17 publications

Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints

Dynamic Optimization Method for Broadband ADCP Waveform with Environment Constraints

Methodology for Estimating Streamflow by Water Balance and Rating Curve Methods Based on Logistic Regression

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