WEATS O&M Issues Sandy Butterfield CEO Boulder Wind Power WEATS

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Presentation transcript:

WEATS O&M Issues Sandy Butterfield CEO Boulder Wind Power WEATS August 31, 2010

Wind Turbines Present Unique O&M Challenges or S Wind Turbines Present Unique O&M Challenges or S!@# Happens & Things Wear Out Multiple large machines spread out over large area Maintenance planning weather dependent Consequences of failures can be expensive Most successful strategies depend on advanced notice of maintenance requirements Remote health monitoring is critical in planning and minimizing maintenance costs Research is needed Certification can be your friend

Major Components at Risk 20 years Repair Cost Gearbox Rebuild Blade Replacement Generator Bearings Yaw Drive, Pitch Drive Control & Sensors Motors and Switchgear Warranty Structural RISK Reference: Chris Walford: GEC

Land Based O&M Cost Estimations PTC DOE Goal Chris Walford: GEC

Where are the Real O&M Costs? Need an Unambiguous Reliability Data Base

Benefits of Condition Monitoring Early deterioration detection to avoid catastrophic failure; Accurate evaluation of damage state of the monitored structure, and subsequently a cost effective maintenance planning or component replacement; Root cause analysis and subsequently, improved operational strategy to reduce chances of structure deterioration. Source: http://jcwinnie.biz/wordpress/?p=2445 Source: Alstom Power

Wind Turbine CM Components: Techniques: Typical Practice: Blade Drive train Techniques: Acoustic emission (or stress wave) analysis Vibration analysis Lubricant condition monitoring Typical Practice: Integration of vibration or stress wave with oil CM Source: InvenSys Source: SKF

NREL Reliability Research Strategy Identify the high O&M cost issues (data base) Quantify failure probability statistics (data base) Develop reliability driven design and O&M COE model(s) Understand the component root causes of failures (GRC) Develop O&M management tools Design high reliability solutions Test solutions and O&M tools at reference sites Integrate long term solutions into the design process Stiesdal & Madsen 2005 Component life Failure Probability I II III Goal

Reliability Program Objectives Short Term Understand reliability issues for current fleet Help reduce O&M cost of current fleet through end of life. Long Term Develop high reliability solutions for design integration Design high reliability next generation turbines (land based and offshore)

NREL Gearbox Reliability Collaborative Objectives Project Strategy Understand and isolate sources of gearbox failures. Suggest solutions leading to greater reliability Develop dynamometer testing capability to assess gearbox/ drivetrain problems and solutions Understand how gearbox loads translate to bearing response, stress, slip, and other gearbox problems. Develop a more comprehensive gearbox design load case matrix. Evaluate and validate current drive train design process and analytical tools. Field Test Team Dyno Test Team Analysis Team Load cases System loads Internal loads Test plan Test article Test setup & execution Data analysis Test turbine Proprietary and/or CRADA IP Protected Data

Test Articles Test platform between 600-kW and 900-kW. 2 gearboxes with identical instrumentation. Upgrade both units to state-of-the art. Cooling, filtration, gear finish, lubrication, and bearing types. Measure External and internal loads and displacements. Thermal measurements Condition monitoring Expert failure analysis and forensics

NREL Dynamometer Specifications 2.5 MW power delivery Full power regeneration at 480/575/690 or 4160 volts Torque input range 0 - 1.62 million N-m. Speed range from 0 - 2250 RPM ~500 kN non-torque shaft loads capacity. SCADA and automated torque/speed controls

Field Testing Ponnequin Xcel Windfarm in Northern Colorado USA Extensive measurements on a single turbine. Characterize load events Correlate loads with component internal gearbox responses. Site-wide failures and statistics.

Drivetrain Analysis Multi-body dynamic analysis of test article. Codes: FAST, Simpack, LVR, FEA (OSU Gear Lab), BEAST (SKF), ADAMS (CENER) Model bearing response under various load conditions measured in Dyno and Field. Model drivetrain solutions with tuned model. Verify design assumptions and basic design process.

Standards and Certification IEC Turbine Design Classes Characteristic Load, L Characteristic Resistance, R Probability Distribution of Extreme Loads Distribution of Strength Design Conditions

General Arrangement of IEC Standards Component Tests Loads Verification Load Case Analysis (Loads Document) Control & Protection System Structural Component Design Mech. & Electrical Design Control Quality Plan Installation Quality Manual Maintenance Plan / Manual Operating Manual Personal Safety 61400-22 Power Performance Safety Test Dynamic Behavior Load Measurements Blade Testing Noise Test Power Quality Test Manufacturing Quality Plan Design Evaluation “Conformity Statement” Type Testing “Conformity Statement” Manufacturing Quality “Conformity Statement” Turbine Characteristics (optional in some countries) 61400-1 61400-2 61400-3 61400-4 61400-24 61400-25 61400-12 61400-13 61400-23 61400-11 61400-21 Final Evaluation Type Certification

Offshore Certification Project Certification 61400-22 Site Assessment Electrical and Works Surveillance Installation Surveillance Project Design “Conformity Statement” Type Certified Machine O&M Surveillance Project Certification Offshore Certification

Thank You! This slide show Drivetrain mass VS Torque. A lower drivetrain mass for a given torque implies a more competitive turbine. The black line is the fit for existing turbines. Note that other direct drive machines are highlighted in red here/here and here This vertical black line is BWPs target torque. So for a 2 stage machine our generator mass is estimated at here and for 4 stages here and 6 stages here