Fonte: ANEEL
CLIC Energia publishes the thirteenth of 30 projects selected for the 4th Edition of R&D Magazine, launched 8/17, during the VI Congress on Technological Innovation in Electrical Energy (CITENEL) and the II Energy Efficiency Seminar in the Electric Sector (SEENEL), held in Fortaleza (CE).The objective is to show society the results achieved with R&D projects.The onsite publication accompanies the order used in the magazine.
The thirteenth article, by Light Serviços de Eletricidade S/A with the Fluminense Federal University (UFF), promotes a software capable of identifying noise in underground electric energy network chambers.This is important to prevent explosions because with the degradation of isolating materials, there are partial electrical discharges, each emitting a sound related to a specific effect.Sensors were installed in the underground chambers to monitor the sounds. They are sent to a smart parameter system such as ambient temperature, water level, ventilation and vibrations.If the information supplied to the system raise any suspicion, the equipment in question can be removed and repaired.Researchers concluded that remote monitoring made it possible to improve maintenance and reduce the number of interventions in the network. They decided this solution can be applied in all Light’s underground chambers, and later, those of other distributors.
The articles can be consulted in their entirety here (R&D Magazine 4th Edition).(BT/DB)
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In a study conducted by the Fluminense Federal University (UFF) and LIGHT Serviços de Eletricidade S/A, software was developed that observes noise emissions in underground electric energy distribution network chambers.The objective of monitoring is to detect possible states of degradation of isolating materials and thus predict the occurrence of failures that may generate explosions, with risks of accidents and high restoration time, which degrades the concessionaire's service providing quality indexes.When isolating materials lose their electrical properties, there are partial discharges and each of the types emits a specific sound, related to a specific defect.In order to track the noises, sensors were installed in the underground chambers that send real physical parameters, such as ambient temperature, water level, ventilation and vibrations to a smart system.The system stores a log of temperatures and noise to classify and predict potential failures and possibilities of damage to electric equipment.According to the information that reaches the system, suspicious equipment may be indicated for removal and maintenance.Researchers were able to conclude that by using remote monitoring through sensors and software that analyzes collected data, it becomes possible to structure maintenance programs in an optimal manner and reduce the number of interventions in the network.The authors believe the methodology used in the project may be applied to all LIGHT’s underground chambers and later expanded to other distributors that have underground systems. Technical data sheet
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