Stefan Kern: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop

Preview:

DESCRIPTION

Complex Flow Research Perspectives

Citation preview

This Document Contains the Following Data TypesGE Confidential

Wind Plant Reliability

Complex Flow Research Perspectives

Stefan Kern, GE Global Research, MunichAugust 14, 2013

@#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

@#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

@#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

@#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

@#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

@#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

@#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

@#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

@#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

Recommended