Hamburg – September 24, 2026 -- Envision Energy has launched the EN-252/16.7, a 16.7 MW offshore wind turbine engineered for high-wind sites, with the company projecting a 2-4% reduction in levelized cost of energy for gigawatt-scale wind farms.
Turbine cuts unit count by roughly 10% while lifting energy output
The EN-252/16.7 carries a swept-area-to-power ratio of approximately 2.99 square meters per kilowatt. For a gigawatt-scale offshore project, Envision states the turbine can generate 1-2% higher annual energy output while requiring around 10% fewer units than currently available turbines, translating into the estimated LCOE reduction depending on site conditions and project configuration. The design also allows uprating at suitable sites, offering further scope to cut turbine numbers and capital expenditure.
Component validation spans over 600 hours of accelerated life testing
Envision built the turbine on its Model Z platform, operational since 2023, layering in component- and system-level validation including drivetrain loading tests and more than 600 hours of highly accelerated life testing. The company points to manufacturing experience across approximately 12,000 gearboxes, 12,000 main-bearing sets, 25,000 blade sets, 23,000 generators and 28,000 converters as the basis for reliability claims tied to its vertically integrated component strategy.
Turbine withstands gusts up to 82 meters per second
The EN-252/16.7 is rated to withstand a 10-minute average extreme wind speed of 58.5 m/s and a three-second gust of up to 82 m/s occurring once in 50 years. Paired with Envision's battery energy storage system, the turbine can draw long-duration backup power for critical safety functions when external grid supply is cut, including during pre-commissioning or severe storm and typhoon conditions. Grid-forming control, black-start capability and stable operation under weak-grid or grid-fault scenarios extend resilience to electrical continuity, according to Envision.
Galileo system flags faults up to six months in advance
The turbine integrates Envision's AI-driven Galileo monitoring platform, commercially deployed across more than 20,000 turbines since 2020. Galileo applies over 30 functional models to track major components and failure modes, issuing early-warning reports one to six months ahead depending on conditions, a capability Envision says lowers unplanned interventions and lifecycle operating expenditure. Christian Schrimpf, Executive Vice President of Offshore Wind at Envision Energy, said the turbine's value lies in translating scale into stronger reliability and economics across the project lifecycle rather than size alone.