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ITAIPU implements PI System to perform failure analysis in the automation system

The Itaipú hydroelectric plant, also called ITAIPU Binacional, is a binational hydroelectric plant that is located between the cities of Hernandarias, Paraguay and Foz do Iguaçu, Brazil, on the Paraná River, on the border between both countries, 14 km north of the Bridge of Friendship. The area involved in the project extends from Foz do Iguaçu (Brazil) and Ciudad del Este (Paraguay) to the south and to Guaíra (Brazil) and Salto del Guairá (Paraguay) to the north.2

ITAIPU Binacional, operational since 1984, holds the title of "largest energy producer on the planet" with 103,098,366 MWh produced in 2015. It is also the dam with the highest accumulated production, with 2.5 billion MWh since start of the operation. The ITAIPU dam has an installed electrohydraulic generation capacity of 14,000 MW, with 20 generating turbines of 700 MW and its construction required a cost of 36 billion dollars for the two partner countries.

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2023 - AVEVA World San Francisco - Power and utilities

Failure analysis of the Automation System with AVEVA PI System for making modernization decisions used in Itaipú

Challenges

  • Provide next-generation online monitoring and analysis capabilities for the automated data acquisition system (ADAS) of the civil structure of the ITAIPU hydropower plant.
  • Require a data-centric decision-making process for modernization projects.


Soluciones

  • AVEVATM PI SystemTM as an advanced foundation for integrating with network monitoring platforms and implementing condition-based maintenance and advanced analytics for KPI calculations.


Resultados

  • Improved and optimized the execution time of corrective and preventive maintenance.
  • 60% reduction in the time required for the Maintenance team to execute preventive maintenance of the System per year, which represents a saving of 208 hours.
  • The ITAIPU Maintenance team used the new KPIs to support the request to modernize the evaluation system, with the objective of improving the availability of data on the civil structural health of the dam


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