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Atmosphere and Energy Research Group (AERG)
Cristina ArcherNiranjan Ghaisas
Shengbai XieChi Yan
Yang Pan
High-Performance Computing Symposium, University of Delaware, 28 January 2015
Outline
• Overview:1. Our wind energy research2. Computational tools3. Why Mills?4. Lessons learned
• Individual talks:– Shengbai: Single-turbine simulations;– Niranjan: Multi-turbine simulations;– Chi: Theoretical framework;– Yang: Turbines-hurricane feedbacks.
1. Our wind energy research
• Wind turbine wake effects;• Turbines-hurricane interactions;• New theoretical framework for studying
atmospheric turbulence.
Single- and multi-turbine wakes
In-house code WiTTS (Wind Turbine and
Turbulence Simulator)
OpenFOAM-based SOWFA (Software for Offshore/onshore
Wind Farm Applications)
Both are Large-Eddy Simulation (LES) codes
Non-incompressible, non-Boussinesq (NINB) framework
• Incompressible assumption:
• Boussinesq assumption:
Non-incompressible, non-Boussinesq (NINB) framework
• Incompressible assumption:
• Boussinesq assumption:
Non-incompressible, non-Boussinesq (NINB) framework
• Incompressible assumption:
• Boussinesq assumption:
• NINB Navier-Stokes equation:
2. Computational tools vs. topics
• WiTTS • SOWFA/OpenFOAM
• WRF
• Wake effects
• Turbines-hurricane
• NINB framework
2. Computational tools vs. topics
• WiTTS • SOWFA/OpenFOAM
• WRF
• Wake effects
• Turbines-hurricane
• NINB framework
WiTTS
• Wind Turbine and Turbulence Simulator;• Under development in-house;• FORTRAN 77, MPI parallelized in 3 directions;• Combines an atmospheric boundary layer (ABL)
solver and an actuator line model for the wind turbine blades;
• Tested for incompressible ABL under neutral, stable, and unstable conditions with and without a single turbine.
SOWFA
• Software for Offshore/onshore Wind Farm Applications;
• Developed by the National Renewable Energy Lab (NREL) using OpenFOAM’s C++ libraries;
• LES code for atmospheric boundary layer (ABL) with advanced treatment of wind turbines;
• Website: https://nwtc.nrel.gov/SOWFA
WRF
• Weather Research and Forecasting model;• Most widely used mesoscale numerical weather
prediction model (>25,000 users);• Developed by NCAR/NOAA/FSL/NRL and
supported by NCAR for free; • Advanced physics, dynamics, numerics;• Global to small (~1 km) scale;• Website: http://www.wrf-model.org/index.php
3. Why Mills?
• All models need large disk space and memory, thus multi-processor, parallel environment necessary;
• Complex setup, with multi-users and multi-versions of codes, libraries, compilers;
• Post-processing and data display with graphic software require large memory and disk space too;
• Need support for maintenance, upgrades, security, etc.
4. Lessons learned
• Valet packages are great;• Involve IT early;• System versions are better than user versions;• Adopt early a file and directory naming convention;• Request to be notified about node failures or
reboots;• Name log files with $JOBID so they do not get
overwritten;• Be afraid of, and ready for, big system upgrades!