scholarly journals Extended Isolation Forests for Fault Detection in Small Hydroelectric Plants

2020 ◽  
Vol 12 (16) ◽  
pp. 6421
Author(s):  
Rodrigo Barbosa de Santis ◽  
Marcelo Azevedo Costa

Maintenance in small hydroelectric plants is fundamental for guaranteeing the expansion of clean energy sources and supplying the energy estimated to be necessary for the coming years. Most fault diagnosis models for hydroelectric generating units, proposed so far, are based on the distance between the normal operating profile and newly observed values. The extended isolation forest model is a model, based on binary trees, that has been gaining prominence in anomaly detection applications. However, no study so far has reported the application of the algorithm in the context of hydroelectric power generation. We compared this model with the PCA and KICA-PCA models, using one-year operating data in a small hydroelectric plant with time-series anomaly detection metrics. The algorithm showed satisfactory results with less variance than the others; therefore, it is a suitable candidate for online fault detection applications in the sector.

2014 ◽  
Vol 136 (2) ◽  
Author(s):  
Kaufui Vincent Wong

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.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Addisu Worku Bezabih

Abstract Background Energy is the main requirement for economic growth in any country and supports the modern economy. The energy sector is considered a vital element in developing countries because it meets energy needs. This article addresses the production of electricity using small hydroelectric power plants for rural applications. The main objective of this study was to assess the potential of the Ribb dam for small hydroelectric plants. The flow is very important for the production of hydroelectricity as the height of a proposed site is constant and the available flow is very variable. Result The flow duration curve is constant and it will vary from 20 to 50% from the nominal flow. Further, it will decrease when the percentage of the nominal flow increases. The best size of a small hydroelectric plant producing a maximum of electricity in the context of future projected flows in the study region. Further, the Ribb dam concluded that the average flow of 14.6331 m3/s, the smooth head of 70.37 m, and the average nominal power of 5.53 MW. Conclusion Small hydro system (SHP) is a promising alternative for the production of cheap and renewable energy in rural or developing areas.


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

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.


2021 ◽  
Author(s):  
Israt Jahan ◽  
Md. Morshed Alam ◽  
Md. Faisal Ahmed ◽  
Yeong Min Jang

2016 ◽  
Vol 9 (3) ◽  
pp. 484-493 ◽  
Author(s):  
A. P. Marcelino ◽  
J. M. Calixto ◽  
A. G. Gumieri ◽  
M. C. Ferreira ◽  
C. L. Caldeira ◽  
...  

ABSTRACT It is well known that aggregate characteristics can intensively interfere in concrete behavior especially when sulfides are presented in the aggregates. The lack of consensus to content limit value of these deleterious sulfur compounds in concrete structures for dams has motivated several investigations worldwide. Within this scenario, this work presents a methodology to evaluate the presence of pyrite and pyrrhotite in concretes produced with aggregates containing sulfides. For the study, rock samples from the Irapé hydroelectric power plant area in Minas Gerais (Brazil) were used. This plant was built in a geological site where the rock presented sulfide levels of at least 3%. These rock samples were first ground and then used as aggregates in mortars, which were, during almost one year, subjected to three different exposed conditions: temperature of 23° ± 2°C and relative humidity of 95 to 100%; calcium hydroxide solution diluted in water kept at two different temperatures: room temperature and 50° C. The presence and amount of pyrrhotite were obtained from a leaching process of the material (aggregate or mortar) in a solution of hydrochloric acid. This procedure allowed also the evaluation of the pyrite content. The results showed that the amount of pyrite has remained virtually constant over time in the three exposure situations. This finding indicates that sulfur limits in aggregates should be set according to the type of iron sulfide presented and not solely by the total amount of sulfur.


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