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This Document Contains the Following Data Types GE Confidential Wind Plant Reliability Complex Flow Research Perspectives Stefan Kern, GE Global Research, Munich August 14, 2013

Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

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Page 1: Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

This Document Contains the Following Data TypesGE Confidential

Wind Plant Reliability

Complex Flow Research Perspectives

Stefan Kern, GE Global Research, MunichAugust 14, 2013

Page 2: Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

@#GECON&*Sandia Wind Plant Reliability Workshop

August 14 2013

Focus on Wind Plant

Holistic plant-level viewTurbine focus

Design

Siting

Operation

Reduce LCOE by improved design, operation & micrositing

Opt. performance w/ clean blades in free-stream

Opt. plant power curve

Identical units according to site wind class

Optimized product- & component mix

„Cooperative“ control;use excess marginsAs independent units

Page 3: Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

@#GECON&*Sandia Wind Plant Reliability Workshop

August 14 2013

Complex Flow Challenges

Design Siting Control

• Incomplete physics understanding• Lack of data / limited exploitation of existing fleet data• Limited modeling capabilities, standards lagging behind

Page 4: Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

@#GECON&*Sandia Wind Plant Reliability Workshop

August 14 2013

Needs

Understand the problem & entitlement• How much wake losses can we recover?• Excess margins or underestimating loads?

Improved engineering practices & models • Hierarchy of models - modular fidelity• Proven & validated against field data• Fleet data mining

New technology• Rethink turbine design & siting• Park level control strategies

Both internal R&D and collaborations with external partners

Page 5: Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

@#GECON&*Sandia Wind Plant Reliability Workshop

August 14 2013

Learning from Field Data

Wake behind single turbine

Wind velocity [m/s]

Std dev95% conf intmean

Hei

ght a

bove

gro

und

[m]

Buffalo Gap wind park - one out of hundreds in the GE fleet

Full scale flow field measurements• Averaged velocity profiles of isolated/interacting wind

turbines pairs & wake turbulence• Sparse data

Operational data of GE fleet• Recorded 10min data of hundreds of wind parks

over many years• Data quality can be challenging• How to define/measure ideal farm performance?

Gaps: - Best practices for fleet data analysis- Exploiting large data to full extent- Limited load data inside plant along with

detailed inflow conditions

Page 6: Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

@#GECON&*Sandia Wind Plant Reliability Workshop

August 14 2013

Learning from Scaled Experiments

Gaps: - Scalability questions for small scale models- Medium scale experiments in largest facilities

Single turbines• Validation data for predictions of blade aerodynamic

performance with controlled inflow

• Typically focussed on near wake, limited far wake data

Interacting turbines• Typically models with D<50cm in ABL wind tunnels

• Limited flexibility in controlling turbine operation

Source http://wire.epfl.ch

Source http://wind.nrel.gov

NREL turbine in NASA AMES wind tunnel

Wind farm in ABL wind tunnel

MEXICO experiment, DNW wind tunne

Source http://www.ecn.nl

Page 7: Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

@#GECON&*Sandia Wind Plant Reliability Workshop

August 14 2013

Engineering Models

Rotor & wake• Largely focused on optimizing standalone unit performance

• Limited capability to capture complex inflow

Farm level• Limited to steady state, assumption of constant wind

direction and wind speed

• Following IEC certification requirements/common practice

Gaps: - Comprehensive calibration of farm models to fielddata/high fidelity models

- Capturing of unsteady effects & complex terrain

Page 8: Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

@#GECON&*Sandia Wind Plant Reliability Workshop

August 14 2013

High Fidelity Simulation & HPC

Gaps: - Comprehensive validation- Largely limited to simple terrain- Flowdown to engineering tools- Exploiting large data to full extent

PSU Cyber Wind Facility

Rotor & wake• Capture complex inflow for detailed rotor aero & wake

• Long term vision: replace expensive field tests

• Assessing modeling approaches & numerical methods

Farm level• Assess wake impact, control strategies & new architectures

• Reduce wake losses and fatigue loading

Partners: Penn State, NREL, LLNL, UC Louvain

Page 9: Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

@#GECON&*Sandia Wind Plant Reliability Workshop

August 14 2013

Concerted Field Tests & Simulation

Source: energy.sandia.gov

…key to advance and validate modeling capabilities

Full scaleWind farm

Red. scaleFew turbines

Test setup Simulation

Wind tunnelContr. cond

Measmt tech

Source: mexnext.org

Source: NRELSource: Texas Tech University

Distance from rotor plane (m)

Source: mexnext.org

Page 10: Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

@#GECON&*Sandia Wind Plant Reliability Workshop

August 14 2013

Conclusions

• Great momentum & progress in complex flow research− Experimental facilities− Measurement technology− Simulation

• Overcome barriers to develop & deploy new technologies− Demonstrate business value− Flow down to engineering practices and tools