Pat Moriarty: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop
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Transcript of Pat Moriarty: 2013 Sandia National Laboratoies Wind Plant Reliability Workshop
NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.
Complex Flow Research and Its Relation to Reliability
Pat Moriarty
Matt Churchfield
Sang Lee
Paul Fleming
Julie Lundquist
John Michalakes
Avi Purkayastha
Mike Sprague
2
Motivation
• Development of validated simulation tools for wind plant operation within complex flow environment
• Complex flow affects: o Power production
o Fatigue loads
o Both influence revenue
generated
• Current models lack
physics
Wind speed contours through the Lillgrund wind plant
3
Underperformance and Uncertainty
Industry average bias ~ -9%
Uncertainty overestimated
Johnson, AWEA WRC 2012
4
Structural Loads
Atmospheric state (stable vs. unstable)
Kelley, 2011
5
Wind Plant Modeling Research
• Simulator fOr Wind Farm Applications (SOWFA)
• High performance computing and engineering modules
• Outcome – Improve industry tools
– Guide experimentalists and understand physics
Turbine Farm Array Mesoscale
Tools:
Scale:
WRF OpenFOAM FAST
SOWFA
6
7
Results – Power
Reasonable agreement with field data
8
Results – Structural Loads
Row D
No field data
9
10
• SCADA data analysis
• Detailed flow measurements o Turbine Wind and Inflow
Characterization Study (TWICS)
• Wake and inflow measurements of 2.3 MW turbine at NWTC
• Influence of complex terrain and stability
o Crop Wind Energy Experiment (CWEX)
• Impact of changing roughness (i.e. corn) on wind farm performance
• Impact of wind farm on crops
• IEA Task 31: Wakebench
Complex Flow Observation Research
Figure courtesy A. Brewer
Figure courtesy J. Lundquist
11
SCADA Data Analysis
Gaumond et al. (2011)
Data is often highly averaged - physics are lost and model validation is suspect
12
Complex Flow Field Campaigns
• Full scale measurements
o Higher resolution but expensive – New instrumentation developing quickly
o Some physics only at full scale
o Smaller scale testing
o Combined observation and simulation
Banta et al. 2013
13
Wake Model Validation
Higher fidelity models often do better, but not always!
decreasing simulation fidelity
Simulation Type
From IEA Task 31: Sexbierum Single Wake Benchmark
14
What can we do about it?
• Complex flow will continue to exist
• Improved plant layout and turbine design using better tools and physical understanding
• Improved control systems
15
Controls Research
• Reacts to existing flow
• Greedy turbines
• Modify complex flow between turbines
• Good neighbors
Turbine Control Plant Control
16
Wind Plant Control
• Heat and flux
• Wake steering – yaw, tilt, turbine motion
17
Power
Best case: Yaw: 4.6% Tilt: 7.1% Pos: 41%
18
Structural Loading
19
Conclusions
• Complex flow is complex o Better understanding required to improve reliability o Many flow scales interact o Terrain and vegetation make things more complex o Combined observation and simulation required
• Improvements possible using design and control • Future needs
o Simulation tools now outpacing observations o Need data for validation
– Higher fidelity flow and SCADA data – Data mining techniques – QA/QC – Good meteorological data on operating wind plants – Structural loading data
o Technology transfer to industry tools