The application of AI (Artificial Intelligence) in the operation of renewable assets resulted in the prevention of an estimated loss of 9.629 MWh of energy at the Babilônia Wind Farm complex, located in Bahia.
The result was obtained after a year of monitoring carried out by Delfos Energy, a company specializing in artificial intelligence solutions and asset performance management for the energy sector.
During this period, the platform identified 28 operational anomalies that could have escalated into more serious failures, allowing for preventative interventions by the O&M (Operations and Maintenance) teams.
According to the company, the technology enabled increased asset reliability without the need to install new physical sensors.
The solution uses machine learning algorithms and mathematical models developed to analyze data already available in the SCADA systems and telemetry databases of the plants.
The approach, which the company calls "virtual engineering," seeks to maximize the use of existing operational information while reducing additional investments in monitoring infrastructure.
According to Delfos Energy, the platform is capable of predicting failures in critical components up to 320 days in advance. The goal is to allow for the planning of corrective actions before unscheduled shutdowns or more significant damage to equipment occur.
“The development of our artificial intelligence was geared towards extracting value from the data that operators already possess, transforming this information into actionable predictions for asset management,” stated Guilherme Studart, co-founder and CEO of the company.
The technology was developed by a multidisciplinary team comprised of data scientists and engineers specializing in the energy sector.
Among those responsible for the development is Samuel Lima, co-founder and CTO of the company, whose experience in aeronautical engineering contributed to the adaptation of predictive maintenance concepts used in aviation to the operation of wind turbines.
The performance achieved at the Babilônia Wind Farm complex comes at a time of expansion for the company. Delfos Energy recently announced it had raised an extension of its Series A funding round worth €3 million, with participation from Copel Ventures, as well as the funds DOMO.VC, Headline, EDP Ventures, and Contrarian Ventures.
Currently, the company monitors over 15 GW of renewable generation assets, including wind, solar, hydroelectric plants, and battery energy storage systems (BESS). With operations in Brazil and its global headquarters in Barcelona, Spain, the company serves clients in eight European countries.
This case reinforces the advancement of artificial intelligence as an operational optimization tool in the renewable energy sector, with applications focused on reducing losses, increasing asset availability, and improving efficiency in maintenance management.
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