Shawn Sheng Glinsky: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop
Todd Griffith: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop
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Transcript of Todd Griffith: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop
D. Todd Griffith, Ph.D.Wind and Water Power Technologies
Sandia National Laboratories
Fifth Sandia Wind Plant Reliability WorkshopAugust 13, 2013
Sandia Technical Report: SAND2013-6915C
Continued increase in installed wind capacity both world wide and in the U.S.
China – largest cumulative capacity
U.S. second in cumulative
~285 GW Installed Worldwide - Total (up from 240 GW)
~60 GW Installed in U.S. – Total (up from 47 GW)
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1983 1990 1995 2000 2006 2012
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Installed Wind Power in the World- Annual and Cumulative -
Source: BTM Consult - A Part of Navigant - March 2013
Source: BTM Consult – A Part of Navigant – March 2013
Turbine Prices
Source: DOE Wind Technologies Market Report
Project Prices
2012: $950-$1300/kW2009: $1500/kW2000-2002: $700/kW
2012: $1940/kW2009&2010: ~$2200/kW2004: ~$1250/kW
U.S. ‐ DOE has proposed the 20% by 2030 scenario• 2013 State of the Union: double renewables by 2020• U.S. DOE recently announced new Vision for wind (2020, 2030, 2050)
Europe – EU has proposed a 20% renewables by 2020 plan
Record installations of nearly 45 GW in 2012 Economic value of global market from $76B (2012) to $113B (2017)
• US Wind Energy: $25B• US Aerospace: $218B (Civil Aircraft $61B) **
UK – significant offshore wind installations continue• World leader in offshore wind with 2.8 GW installed end of 2012 (56% total world offshore capacity)
** 2012 Year-end Review and Forecast, Aerospace Industries Association
024681012141618
Annual GW Installed
*Installations 2007: 5,253 MW
*Installations 2008: 8,362 MW
DOE 20% by 2030 Scenario: Installed Capacity – Predicted and Actual
Capacity additions in 20% Scenario
Source*: AWEA, 2012
*Installations 2009: 10,005 MW
*Installations 2010: 5,216 MW2011: 6,820 MW2012: 13,131 MW
Size 1.5-5.0+ MW Towers: 65-100+ meters Blades: 34-80+ meters Weight: 150-500+ tons
Costs (traditional)• System ~ $3/lb• Blades ~ $6/lb
Wind Industry Trends & Challenges
•High-end Military ~ $1000/lb•Aerospace Industry ~ $100/lb
Growth of average individual turbine capacity: 1.67 to 1.84 MW Mainstream of installed turbines, 1.5‐2.5 MW (83%) with ~13% 2.5 MW and above in 2012
• US average rating is 1.93 MW (down from 1.97 MW)• However, growth in hub height and rotor diameter (low wind speed siting)
Source*: AWEA, 2012
Current Turbine Technology
And, expanded product offerings
Continued rotor growth for offshore (5 MW and
above)
Additional offerings for land-based
machines 2-3 MW: hub
height and rotor size options
Continued significant installations in the UK in recent yearsMany offshore projects in pipeline for 2013/2014 (~4.8 GW) particularly in Germany (~2.5 GW), UK (~1.5 GW)2.5% of 2012 installations were offshore (slight drop)Forecasting range from 6‐18% annually offshore for next five years (2013‐2017)
Until recent years, two prime suppliers of offshore turbines (Siemens, Vestas) – new entrants emerging
Offshore is test bed for large turbine technology• Virtually all are fixed bottom (monopile, etc)
New large machines in development for offshore• 6 MW Alstom (150‐meter diameter)• 6 MW Siemens (120‐meter diameter)• 7 MW Vestas (164‐meter diameter)• 7 MW Mitsubishi (165‐meter diameter)• 4.5 MW Gamesa (134‐meter diameter)
Land-based Project Shallow Water Offshore Project
Musial, W. and Ram, B. Large-Scale Offshore Wind Power in
the United States.
NREL/TP-500-40745. 2010.
Direct drive concept continues in its application• Direct drive account for 19.5% of world’s supply of wind power capacity in 2012 (up from 14% in 2009)
• Simpler mechanism with no gear box maintenance
Solving issues, improving codes and standards, and developing innovations all lead to lower COE:
• lower capital costs, • lower O&M, or • increased energy capture.
RadarNoise TransportationWind Plant Performance; Wake Losses Field Service & Repair Lightning Reliability of blade design & manufacturing
Acoustic Research
Effects of Turbines on
Radar
Innovations in research communities – labs, universities, industry
• Passive load control• New airfoils• Large blade development• Active load and performance control• Vertical Axis Wind Turbine (VAWT designs)• New materials characterizations• Sensor development for SHM and active load control• Increased tip speeds• Coatings for radar, lightning
Labs – addressing various aspects and elements of wind system reliability through R&D• Components Reliability
Gearbox Reliability Collaborative (GRC) Blade Reliability Collaborative (BRC)
• Condition monitoring; Structural Health and Prognostics Management
• Wind Energy Systems Analysis and Engineering• Wind Farm Performance and Testing
Problem: Blade reliability issues related to manufacturing, transportation, installation, and operation can have large effects on COE as blade failures can cause extensive down time and lead to expensive repairs.
Goal: Improve the reliability of blades delivered to the field so that remediation work before operation can be eliminated and the service lifetimes can achieve the 20 year targets that are expected by wind plant operators and financiers.
Manufacturing Operation
TestingDesign
Two blades built based on BSDS blade design• Glass and carbon spar versions
• Defects manufactured: Out‐of‐plane and in‐plane waves, porosity, delaminations, and disbonds
Sandia has focused on a sealed water box that:• Adjusts to slight curvature surfaces• Eliminates water flow to open box• Maximizes signal strength• Accommodates necessary standoffs for signal
clarity• Easily saves scanned images for reference using the
unidirectional Mouse Encoder
4 Ply Pillow Inserts
FBH
FHB’s Pillow Inserts
BRC: Probe Housing Development for Factory Deployment
CREW: Continuous Reliability Enhancement for Wind
21
Goal: Create a national reliability database of wind plant operatingdata to enable reliability analysis
Sandia partners with Strategic Power Systems (SPS), whose ORAPWind® software collects real‐time data from wind plant partners
Benchmark reliability performanceTrack operating performance
Method:
SHPM: Structural Health and Prognostics Management
Cost-effectively simulating realistic damaged states and evaluating their effects
Repa
ir Co
st
Defect Size
Blade Removal
Blade Replacement
Up‐Tower Repair
Ground Repair
No Repair(not to scale)
Recognizing the dependence of repair costs on extent of damage and ease of accessibility:
Opportunity to plan for cheaper repairs, optimize O&M processes
SHPM: Structural Health and Prognostics Management (cont’d)
Smart loads management has potential to reduce cost of energy in two ways: reduce O&M costs and increase energy capture
Shutdown
Online Reports
Annual Global Wind Power Development
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Annual Global Wind Power Development
Offshore (Prediction) Prediction Offshore (Forecast)Forecast Existing capacity
Source: BTM Consult - A Part of Navigant - March 2013