Análise de óleo lubrificante como ferramenta de diagnóstico preditivo em caixas multiplicadoras de aerogeradores: estudo de caso na empresa 8.2 Renewables Brasil.

Abstract

The growing demand for wind energy drives the need for maintenance strategies that ensure the availability and reliability of wind turbines. The gearbox is one of the most critical and costly components of this system, operating under severe conditions. This study aims to demonstrate the effectiveness of lubricating oil analysis as a predictive maintenance tool in gearboxes of Siemens-Gamesa G97 wind turbines with 12 years of operation. Based on the author's practical experience at the 8.2 Renewables Brasil company, laboratory reports of synthetic oil samples (Shell Omala S3 Wind) were interpreted, analyzing physicochemical parameters and the presence of contaminants. The methodology consisted of classifying the results into "Normal", "Attention", and "Replace" categories, based on pre-established technical limits. The results of a case study involving six turbines revealed that the main indicators leading to corrective actions were elevated zinc (Zn) content, indicative of additive degradation, and high solid particle contamination (ISO 4406 standard). The study concludes that the continuous monitoring of the lubricant allows for the early detection of conditions that lead to severe failures, enabling planned corrective actions that reduce operational costs, increase component lifespan, and optimize the maintenance management of wind assets.