CleverFarm The intelligent wind farm Dr. Gregor Giebel Risø National Laboratory

Outline What is CleverFarm? The idea Sensors The data flow Some algorithms Further ideas

The system A meteorological part, i.e. on-line prediction system –Increases the economical value of wind energy in liberalised energy markets –Maintenance planning A surveillance part or sensor system –Development of a standard installation procedure and selection of sensors (vibration, video, other) –Interface to the algorithm part An algorithm part, control strategies –Automated condition monitoring and fault prediction –This is the innovative part of the project

Project objectives Objectives –Combine state-of-the-art techniques for optimising and enhancing the performance of wind farms –Focus on synergy, not the refinement of the individual techniques –Create an integrated system –Implement the system at a number of wind farms Why? –Minimise the number of unexpected or unscheduled wind farm stops –Many new wind farms are constructed in remote areas eg off-shore

Project partners Risø National Laboratory, Roskilde, Denmark SEAS, Haslev, Denmark Gram & Juhl, Haderslev, Denmark DMI (Danish Meterological Institute), Copenhagen, Denmark University of Oldenburg, Germany ISET (Institut für Solare Energieversorgungstechnik), Kassel, Germany RES (Renewable Energy Systems), London, UK

The general idea C LEVER F ARM manager CleverBeanCleverBean CleverBean CleverBean CleverBean CleverFarm interface ,fax, sms... DB Numerical weather prediction

Server architecture C LEVER F ARM manager CleverBean CleverBean CleverBean CleverBean CleverBean CleverFarm interface DB JSP

Stage 1 - “Information Provider” Outside World WWW WAP SMS CleverFarm software Wind Farm

Stage 2 - “Active Wind Farm Control” Outside World Wind Farm WWW WAP SMS CleverFarm software

Wind Turbine Vibration Monitoring G&J Structural movements (tower, blades) Bearings, gear, unbalance, mechanical defects Correllation with control parameters Remote operation Service optimisation Gram & Juhl ApS - Intelligent Vibration Sensors

The Sensors Embedded Processing –Overall level, FFT (Zoom, envelope), RPM, Cepstrum –Native scheduler –On-site upgradeable DAM-XY01 –Embedded structural monitoring –Relay output DAM-Z08 Gram & Juhl ApS - Intelligent Vibration Sensors

Scaleable Solution – Wind Turbine Stand-alone or Host controlled 32 sensors per network Alarm interface to WTC Gram & Juhl ApS - Intelligent Vibration Sensors

VibroIC sensors

Data access

Turbine camera Outside camera with pan/tilt/zoom Inside camera as simple webcam

OptiFarm web Video Control

Interface: GJDB  HTTP  OptiFarm DB Quick overview „Traffic lights“ OptiFarm web G&J CMS Integration

Overview over temporal development „Sonagram“ with variable alarm masks OptiFarm Web CMS Sonagram

Details of measured and alarm spectra Click on one line Get the full frequency spectrum and the alarm limits

Prediktor Bean Wind prediction for maintenance scheduling and power trading

Algorithms Aim: scheduling of preventive maintenance Therefore necessary: recognition of errors before they occur How?

Trend analysis

Power curve alarm limits

Current status One CleverFarm installation complete in SEAS offshore testbed in Nøjsomheds Odde (Lolland/DK) –Contains G&J + ISET vibration sensors in three turbines –Contains video system –Interface to Bonus SCADA system One mixed CleverFarm/OptiFarm installation in Grüppenbühren (near Bremen/DE) –G&J vibration sensors –Interface to Vestas SCADA –Video system

Conclusion CleverFarm is: A data protocol, wrapped in a JavaBean An intelligent SuperSCADA An autonomous wind farm supervision tool Helping with the maintenance schedule Not yet available

See more of it on www. CleverFarm.com !