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© Siemens Gamesa Renewable Energy SE Service Digital Lightning and Severe Weather Management for Wind Farms

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© Siemens Gamesa Renewable Energy

SE Service DigitalLightning and Severe Weather Management for Wind Farms

© Siemens Gamesa Renewable Energy

Sven HeitschDigital

220

Charlotte DupeyronPA & Agile coach

Ulrik H. HenriksenFleet Performance & Diagnostics Centres

Brian SteffesDigital Customer Success Manager

Sven Heitsch (act.)E2E Digital Solution Development

15

Jesús BlascoRemote Centres

Johnny RieperData Warehouse

Lasse HenriksenWind TurbineAnalytics

Morten ThraneApplication Configura-tion & Support

Nekane Martinez VadilloWeather & Energy Forecast

Jesús Blasco (act.)Digital Services

203

Conny LaursenCommercial head

Matthias LönneckerAdaptive Change and Digital Project Manager

Digital

Weather and Energy Forecasting Team – Organizational Chart

© Siemens Gamesa Renewable Energy

Siemens Gamesa Digital – Weather & Energy Forecast TeamDigital – FP&DC – Weather & Energy Forecast 3

Goal is truly autonomous windfarms with minimal human intervention

Remote monitoring and problem solving for wind turbines and predictive diagnostic models

Past, present, and future weather and lightning conditions are animportant input forthis area

Safety of people is most important, followed by optimizing operations and maximizing revenues

Worldwide company and worldwide solution

1 2 3

4 5

© Siemens Gamesa Renewable Energy

Consultancy ServicesLong term weather and marine analysis

Lightning Detection System and Severe Weather WarningsEarly detection of damages in blades. Preventive stop/restart of turbinesWEF

Metoceanic and economic variables forecastsShort, medium and long-range forecasts

Digital – FP&DC – Weather & Energy Forecast

© Siemens Gamesa Renewable Energy

Use Cases for Lightning Data for Wind Farms

• Clear benefit is early detection of damages in blades

• In high lightning density in particular areas of the world, system captures all this and captures historical data for forensic reports for damage claims.

• Preventive stop and re-start of wind turbines for lightning and other severe weather.

• When thunderstorms approach a pre-defined radius, the wind turbines are stopped until the storm passes, and no turbine has been damaged, after which time the turbines are re-started.

• Result = improvement in performance and protection of the integrity of assets

Digital – FP&DC – Weather & Energy Forecast 5

© Siemens Gamesa Renewable Energy

Earth Networks Products – Sferic Maps & Lightning APIDigital – FP&DC – Weather & Energy Forecast 6

Automation of all processes at Siemens Gamesa with goal ofautonomous wind farms

Monitoring and visualization in the regions by wind farm operators via Sferic Maps, when and how they can work in wind farms

Consultancy services with historicalweather data, or reanalysis data which serves as an important input in:

• Wind farm sighting apps

• Blade prediction models

• More precise pricing for blade integrity management

© Siemens Gamesa Renewable Energy

Service Digital - Fleet Performance & Diagnostics Centers

Thank you!