Sandia National Laboratories is a multi-program laboratory managed by Sandia Corporation for the US Department of Energy’s National Nuclear Security Administration. The document summarizes a panel discussion on establishing successful blade maintenance programs. It discusses the DOE Wind Program mission to increase wind energy deployment through technology development. It also outlines Sandia's objectives in serving the nation's needs through rotor systems innovation, innovative wind plant technologies and operations experimentation, quantification and reduction of uncertainties in wind plant modeling, and research on wind power performance, reliability and safety.
Unblocking The Main Thread Solving ANRs and Frozen Frames
Sandia National Laboratories Establishes Successful Blade Maintenance Programs
1. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin
Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000. SAND NO. 2011-XXXXP
Panel: Establishing a Successful Blade Maintenance Prog.
• Josh Crayton, Director of Business Development, Rope Partner
• Jeffrey Hammit, Principal Technical Specialist, NextEra Energy
• Olen Richardson, President, Blade Consultant Services
• Gary Kanaby, Commercial Manager, WindCom
• Chair: Carsten Westergaard, Senior Advisor (Cont), Wind & water, Sandia National Laboratories
(track 354440 and dept. side)
3. Wind Energy Technologies Objective
§ Serve the nations needs by providing world leading expertise:
1. Rotor Systems Innovation
2. Innovative Experimentation in Wind Plant Technologies and
Operations
3. Quantification and Reduction of Uncertainties in Wind Plant
Modeling and Experimentation
4. Wind Power Performance, Reliability, and Safety
§ We accomplish our open-innovation goals through a nation-
leading engineering team, leveraging the broader capabilities
of the largest US engineering laboratory and utilizing the most
advanced and well documented wind plant research facility in
the world
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7. Environmentally induced
Reliability Events
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The data on environmental is not quantified atthis stage
and are fleet average.I.e. icing is a regional effect
Failure induced by Component Annual failure rate of
repairable items
(number is relative to all
component repairs)
Fraction of fleet which will
experience major
replacement in lifetime
(20 years)
Lightning
35 days/year
Blade 3% 4%
Ice Blade ? ?
Erosion Blade High Almost none
Extreme wind w/wo
vibration
Blade ? 6%
Corrosion and surface
degradation
Blade ? ?
Misc. Blade ? 4%
8. Requirements To Determine
The Benefit Of Pro-active Vs Reactive ?
§ Measure and benchmark
§ How do we accurately created technical reliability data for blades ?
§ Is it meaningful to correlate technical and economical benchmarks ?
§ Can we use historical data to predict the future ?
§ How do we quantify the actual operating envelope and include:
§ Environmental conditions ?
§ Operational conditions ?
§ Data-mining SCADA data for both performance and reliability ?
§ Do we need to have new sensors in the blade ?
§ Can these data be used to control and/or extended the life time of a wind farm
(remaining useful life) ?
§ Field actions
§ Do we need better field inspections and follow-up methods ?
§ Effects of structural improvements or repairs ?
§ Data collection ?
§ Verification of the starting point
§ Can field data be used to improve future design ?
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11. Lightning: Technology bias and Size bias
§ Lightning risk, according to IEC61400-24 and
ported from building code, suggest risk is
proportional to height squared, including
landscape topology
§ Experience shows much higher height
dependency ~R4
§ On the flip side, improved LPS systems are
reported to have as much as an X10
improvement
§ Sub-conclusion: Historical fleet average will
not predict the future without significant
considerations to technology and size
correction
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Cannata (2014), Coffery (2014), Green
(2014), LM Wind power
Proportional to ~R4
13. A controlled
connection between
rotor and rotor wake
impact every aspect
of the plant
Rotor systems innovation
§ The wind plant rotors controls and drives every aspect of a successful
wind plant operation. Advanced rotor concepts offer great potential for
improving reliable wind plant performance while reducing energy costs
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§ Innovative rotors flown at the National Rotor Testbed hosted at DOE/
Sandia SWiFT wind plant offers elaborate verification and validation a real
and controlled wind plant environment, documented to reduce
experimental uncertainties and thereby the reliability of the results
15. Quantification and Reduction of Uncertainties in
Wind Plant Modeling and Experimentation
§ High-fidelity modeling of wind plants for reduction
in COE
§ Accurate prediction of wind plant power production
§ Understanding of complex aero-structural load scenarios
§ Leveraging of nuclear weapons simulation
technology
§ Sandia’s Nalu computational fluid dynamics code has been
chosen as a DOE exascale application code for exploitation of
next-generation supercomputing hardware.
§ Nalu is an open source code born from the Fuego code, used
originally for abnormal fire environments for stockpile
systems.
§ Validation
§ Validation experiments to be performed at SWiFT and other
facilities
§ Quantified uncertainty bounds on simulation predictions -
needed for decisions impacting wind plant design and
financing
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A Nalu simulation of stalled flow past a wind
turbine blade section, performed in the DOE
Trinity supercomputer.