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New WindGEMINI advances wind turbine operations

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Making renewables smarter
Software can be used to monitor any turbine, regardless of its make or model to increase production and assess turbine operating life
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ARNHEM, The Netherlands - 29 November 2017 - DNV GL, the world’s largest independent energy advisory and certification body, has launched WindGEMINI, its first online digital twin online tool giving wind farm owners and operators advanced insights into turbine condition and performance, enabling better informed wind operation decisions.

The WindGEMINI framework is based on digital twin technology, equipping users with digital copies of their wind turbines which are continuously updated in real-time, making use of the stream of information received from turbines and wind farm sensors, to reflect the real conditions experienced by the turbines on site.

WindGEMINI gives owners and operators 24/7 access to key metrics and advanced analysis to understand the performance, condition and remaining life of a turbine and its components. This knowledge can be used to optimise servicing, inspections and plan repairs or replacements, thus minimising downtime and lost revenue, as well as informing financial modelling and strategic decision-making processes.

WindGEMINI is built on DNV GL’s 25 years of wind turbine design experience and on the analysis of more than 50 GW of global onshore and offshore wind plants. It gives owners and operators an easy, accessible way to unlock the value within their data and can be utilised across the entire portfolio, as it is compatible with any turbine model.

Operational benefits and applications of WindGEMINI include:

  • A turbine life estimator uses aeroelastic modelling to estimate the effect of site conditions on the fatigue accumulation of the main structural components. It provides an estimate of the remaining life of a turbine which can be used  to identify opportunities to extend life or upgrade turbines.
  • Predictive analysis of the turbine drivetrain identifies patterns indicative of incipient failure modes and raises alerts with varying confidence levels. This information can be used by owners and operators to avoid failures, optimise inspections and reduce downtime.
  • A power curve performance watchdog identifies shifts in the turbine power curves and sub-optimal control modes, so that they can be corrected to regain any potential energy losses.
  • Structural integrity monitoring uses high-frequency data to identify issues, such as rotor imbalance and foundation degradation, which can have adverse effects on energy capture and turbine life.

Prajeev Rasiah, Executive Vice President, for DNV GL’s energy business in Northern Europe, Middle East & Africa, said “As the wind industry matures, there is constant pressure to reduce costs and increase revenue, and grid operators no longer tolerate downtime and under performance. WindGEMINI is part of DNV GL’s drive towards a more digital future and, as a leading independent advisor to the renewables industry, builds on our expertise of leveraging technology to drive down cost of energy.”

About DNV GL
DNV GL is a global quality assurance and risk management company. Driven by our purpose of safeguarding life, property and the environment, we enable our customers to advance the safety and sustainability of their business. Operating in more than 100 countries, our professionals are dedicated to helping customers in the maritime, oil & gas, power and renewables and other industries to make the world safer, smarter and greener.

In the power and renewables industry
DNV GL delivers world-renowned testing and advisory services to the energy value chain including renewables and energy efficiency. Our expertise spans onshore and offshore wind power, solar, conventional generation, transmission and distribution, smart grids, and sustainable energy use, as well as energy markets and regulations. Our experts support customers around the globe in delivering a safe, reliable, efficient, and sustainable energy supply. Learn more at dnvgl.com/energy.