scholarly journals Semi-Rigid Erosion Control Techniques with Geotextiles Applied to Reservoir Margins in Hydroelectric Power Plants, Brazil

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 500
Author(s):  
Maria Alejandra Aparicio Ardila ◽  
Ricardo D. dos Santos Junior ◽  
Marcelo Kobelnik ◽  
Clever Aparecido Valentin ◽  
Marlon Silva Schliewe ◽  
...  
Keyword(s):  
Power Plants ◽  
Hydroelectric Plant ◽  
Thermal Analyses ◽  
Erosion Control ◽  
Hydroelectric Power ◽  
Performance Variables ◽  
Control Techniques ◽  
Hydroelectric Power Plants ◽  
Plant Operations ◽  
Qualitative Performance

In Brazil, hydroelectricity represents close to 70% of the energy consumed in the country. However, hydroelectric plant operations may be affected by the deposit of sediments for erosive processes on reservoir margins. This study presents the results of implementing two semi-rigid erosion control techniques installed on reservoir margins of two Brazilian Hydroelectric Power Plants (HPPs). These techniques were the gabion and gabion mattress used as a mixed technique and geogrid mattress technique. This paper highlights the importance of implementing geotextiles in the construction process of these erosion control techniques, taking advantage of their separation properties. The performance of the techniques was evaluated using qualitative performance variables and by differential bathymetry studies performed in 2016 and 2020 in the experimental units installed in each HPP. Moreover, the degradation of the geotextiles in each installation was evaluated through thermal analysis. The erosion control techniques that showed the best results were gabion and gabion mattress. Regarding the exhumed geotextiles, thermal analyses have shown that the commercial geotextiles that were used can withstand temperatures of up to 200 °C leading to no changes to their structure.

scholarly journals Study of Erosion Control Techniques Applied to Hydroelectric Power Plants Reservoir Margins

2018 ◽  
Vol 4 (4) ◽  
pp. 329-342
Author(s):  
Terezinha De Brito Galvão ◽  
Arnaldo Teixeira Coelho ◽  
Gustavo Borel de Menezes ◽  
Ênio Brandão de Fonseca
Keyword(s):  
Power Plants ◽  
Erosion Control ◽  
Hydroelectric Power ◽  
Control Techniques ◽  
Hydroelectric Power Plants

Engineering Solutions to the Greenhouse Gases Generated by Hydroelectric Plants

2014 ◽  
Vol 136 (2) ◽  
Author(s):  
Kaufui Vincent Wong
Keyword(s):  
Power Plants ◽  
Mechanical Design ◽  
Hydroelectric Plant ◽  
Hydroelectric Power ◽  
Current Review ◽  
Hydroelectric Power Plants ◽  
Water Turbine ◽  
Hydroelectric Plants ◽  
The Right ◽  
Do The Right Thing

There is a controversy brewing for about 10 years that hydroelectric power plants are not a clean, renewable source of electricity. The current review indicates that the source of methane is not in the mechanics or mechanical design of the equipment used. The source of the methane is from nature, and man's failure to do the right thing. This methane may be reduced or completely eliminated. If this cannot be accomplished or if it is too expensive to retrofit the hydroelectric plant, then the deep water may be preprocessed (and the methane collected) before being used in the water turbine. Several methods have been introduced and discussed. Details have been omitted so that practicing engineers and other professionals can obtain funds to research and develop or invent the practical solutions suited to conditions local to the problem.

scholarly journals Spillage Forecast Models in Hydroelectric Power Plants Using Information from Telemetry Stations and Hydraulic Control

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 184
Author(s):  
Pedro H. M. Nascimento ◽  
Vinícius A. Cabral ◽  
Ivo C. Silva Junior ◽  
Frederico F. Panoeiro ◽  
Leonardo M. Honório ◽  
...  
Keyword(s):  
Power Plants ◽  
Hydroelectric Plant ◽  
Hydroelectric Power Plant ◽  
Supervised Machine Learning ◽  
Machine Learning Techniques ◽  
Hydroelectric Power ◽  
Hydraulic Control ◽  
Generation Planning ◽  
Hydroelectric Power Plants ◽  
Forecast Models

Hydroelectric power plants’ operational decisions are associated with several factors, such as generation planning, water availability and dam safety. One major challenge is to control the water spillage from the reservoir. Although this action represents a loss of energy production, it is a powerful strategy to regulate the reservoir level, ensuring the dam’s safety. The decision to use this strategy must be made in advance based on level and demand predictions. The present work applies supervised machine learning techniques to predict the operating condition of spillage in a hydroelectric plant for 5 h ahead. The use of this method, in real time, aims to assist the operator so that he can make more assertive and safer decisions, avoiding waste of energy resources and increasing the safety of dams. The Random Forest and Multilayer Perceptron methods were used to define the architecture compared to the forecasting capacity. The proposed methodology was applied to a 902.5 MW Hydroelectric Power Plant located on the Tocantins River, Brazil. The results demonstrate effective assistance to operators in the decision-making, presenting accuracy of up to 99.15% for the spill decision.

scholarly journals Availability Projections of Hydroelectric Power Plants through Monte Carlo Simulation

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8398
Author(s):  
Marcos Tadeu Barros de Oliveira ◽  
Patrícia de Sousa Oliveira Silva ◽  
Elisa Oliveira ◽  
André Luís Marques Marcato ◽  
Giovani Santiago Junqueira
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Power Plants ◽  
Hydroelectric Plant ◽  
Real Data ◽  
Hydroelectric Power ◽  
Maintenance Schedule ◽  
Hydroelectric Power Plants ◽  
Hydroelectric Plants ◽  
The Impact

The present work proposes a Monte Carlo Simulation (MCS) to obtain availability projections for Hydroelectric Power Plants (HPP), based mainly on regulatory aspects involving the Availability Factor (AFA). The main purpose of the simulation is to generate scenarios to obtain statistics for risk analysis and decision-making in relation to the HPP. The proposed methodology consists of two steps, firstly, the optimization of the maintenance schedule of the hydroelectric plant is carried out, in order to allocate the mandatory maintenance in the simulation horizon. Then, for the MCS, scenarios of forced shutdowns of the Generating Units (GU) will be generated, which directly influence the operation and, consequently, the availability of the HPP. The scenarios will be inserted into an operation optimization model, which considers the impact of forced shutdown samples on the MCS. The proposed modeling was applied using real data from the Santo Antônio HPP, which is one of the largest hydroelectric plants in Brazil.

scholarly journals Migratory passage structures at hydropower plants as potential physiological and behavioural selective agents

2019 ◽  
Vol 6 (11) ◽  
pp. 190989 ◽  
Author(s):  
Tormod Haraldstad ◽  
Thrond Oddvar Haugen ◽  
Frode Kroglund ◽  
Esben Moland Olsen ◽  
Erik Höglund
Keyword(s):  
Power Plants ◽  
Hydroelectric Plant ◽  
Anthropogenic Activities ◽  
Mitigation Measures ◽  
Migration Route ◽  
Hydroelectric Power ◽  
Strong Selection ◽  
Trade Offs ◽  
Hydroelectric Power Plants ◽  
Pass Through

Anthropogenic activities affect fish populations worldwide. River dams have profound impacts on ecosystems by changing habitats and hindering migration. In an effort to counteract such effects, a range of mitigation measures have been installed at hydroelectric power plants. However, not all individuals in a population use these measures, potentially creating strong selection processes at hydroelectric power plants. This may be especially true during migration; fish can get heavily delayed or pass through a hydropower turbine, thus facing increased mortality compared with those using a safe bypass route. In this study, we quantify migration route choices of descending wild passive integrated transponder (PIT)-tagged Atlantic salmon smolts released upstream from a hydroelectric plant. We demonstrate how only a few metres’ displacement of bypass canals can have a large impact on the fish guidance efficiency (FGE). The proportion of fish using the bypasses increased from 1% to 34% when water was released in surface gates closer to the turbine intake. During a period of low FGE, we observed two different smolt migratory strategies. While some individuals spent little time in the forebay before migrating through the turbine tunnel, others remained there. We suggest that these groups represent different behavioural types, and that suboptimal mitigation measures at hydropower intakes may, therefore, induce strong selection on salmon behavioural traits. The ultimate outcome of these selection mechanisms is discussed in light of potential trade-offs between turbine migration mortality coast and optimal sea entrance timing survival benefits.

Water quality impacts of small hydroelectric power plants in a tributary to the Pantanal floodplain, Brazil

2021 ◽  
Author(s):  
Rúbia Fantin Cruz ◽  
Stephen K. Hamilton ◽  
Hans M. Tritico ◽  
Ibraim Fantin‐Cruz ◽  
Daniela Maimoni Figueiredo ◽  
...  
Keyword(s):  
Water Quality ◽  
Power Plants ◽  
Hydroelectric Power ◽  
Hydroelectric Power Plants
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