A case study of the maximization of daily revenue of hydroelectric power-plant in Brazilian Power Market

Power plants are required to supply the electric demand efficiently, and appropriate failure analysis is necessary for ensuring their reliability. This paper proposes a framework to extend the failure analysis: indeed, the outcomes traditionally carried out through techniques such as the Failure Mode and Effects Analysis (FMEA) are elaborated through data-driven methods. In detail, the Association Rule Mining (ARM) is applied in order to define the relationships among failure modes and related characteristics that are likely to occur concurrently. The Social Network Analysis (SNA) is then used to represent and analyze these relationships. The main novelty of this work is represented by support in the maintenance management process based not only on the traditional failure analysis but also on a data-driven approach. Moreover, the visual representation of the results provides valuable support in terms of comprehension of the context to implement appropriate actions. The proposed approach is applied to the case study of a hydroelectric power plant, using real-life data.

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The Impact of Out-Of-School Learning Environments on the Academic Success of Students in Terms of Science Education: Hydroelectric Power Plant Trip Case Study*

International Online Journal of Educational Sciences ◽

10.15345/iojes.2021.01.020 ◽

2021 ◽

Vol 13 (1) ◽

Author(s):

Mustafa BULBUL ◽

Serif Ali DEGIRMENCAY

Keyword(s):

Science Education ◽

Academic Success ◽

Power Plant ◽

Learning Environments ◽

Hydroelectric Power Plant ◽

Hydroelectric Power ◽

School Learning ◽

The Impact ◽

Out Of School

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APPLICATION OF CALIBRATION CERTIFICATE OF DIGITAL LEVELING SYSTEMS IN THE MONITORING OF STRUCTURES: A CASE STUDY AT THE GOVERNADOR JOSÉ RICHA HYDROELECTRIC POWER PLANT - PR

Boletim de Ciências Geodésicas ◽

10.1590/s1982-21702018000200016 ◽

2018 ◽

Vol 24 (2) ◽

pp. 235-249 ◽

Cited By ~ 1

Author(s):

Alyne Raminelli Siguel Gemin ◽

Érica Santos Matos ◽

Pedro Luís Faggion

Keyword(s):

Power Plant ◽

Hydroelectric Power Plant ◽

Hydroelectric Power ◽

Calibration System ◽

First Order ◽

The Past ◽

Over Time ◽

Equipment Performance

Abstract: The monitoring of the vertical behavior of benchmarks installed in the dam crest of the Governador José Richa hydroelectric power plant (UHGJR) has been performed by the first-order differential leveling method with the use of digital leveling systems which are composed of a digital level and a invar barcode rod. By default, the scales of these instruments are the same, but over time both can change, degrading the observations. In the past, the simultaneous calibration of these systems was not considered in the determination of UHGJR settlements, however, after the development of the first calibration system of digital leveling systems in Brazil, it was possible to investigate the equipment performance as well as to determine a scale factor to be applied to correct the level readings. The results achieved are the systems calibration used in the monitoring of the UHGJR and the calibration certificate application in leveled sections in November 2016. The maximum correction applied to the elevation differences was of the order of nine tenths of millimeters, result attributed to the region observed in the rod, since the deviations obtained in the calibration vary according to the reading position at the rod.

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