Andrew Kirby

2019

Andrew C. Kirby, Michael J. Brazell, Zhi Yang, Rajib Roy, Behzad R. Ahrabi, Michael K. Stoellinger, Jay Sitaraman, and Dimitri J. Mavriplis (2019): Wind farm simulations using an overset hp-adaptive approach with blade-resolved turbine models, International Journal of High Performance Computing Applications, SAGE Publishing, Vol 33, Num 5, pp897-923

2018

Andrew C. Kirby (2018): Enabling High-Order Methods for Extreme-Scale Simulations, Mavriplis CFD Lab (website), Vol Doctoral dissertation
Andrew C. Kirby, Arash Hassanzadeh, Dimitri J. Mavriplis, and Jonathan W. Naughton (2018): Wind Turbine Wake Dynamics Analysis Using a High-Fidelity Simulation Framework with Blade-Resolved Turbine Models, American Institute of Aeronautics and Astronautics, 2018 Wind Energy Symposium, Kissimmee, Florida, U.S.A.
Andrew C. Kirby, Zhi Yang, Dimitri J. Mavriplis, Earl P. Duque, and Brad J. Whitlock (2018): Visualization and Data Analytics Challenges of Large-Scale High-Fidelity Numerical Simulations of Wind Energy Applications, American Institute of Aeronautics and Astronautics, 2018 AIAA Aerospace Sciences Meeting, Kissimmee, Florida, U.S.A.

2017

Andrew C. Kirby, Michael Brazell, Zhi Yang, Rajib Roy, Behzad Reza Ahrabi, Dimitri Mavriplis, Jay Sitaraman, and Michael K. Stoellinger (2017): Wind Farm Simulations Using an Overset Hp-Adaptive Approach with Blade-Resolved Turbine Models, American Institute of Aeronautics and Astronautics, 23rd AIAA Computational Fluid Dynamics Conference, Denver, Colorado, U.S.A.
Michael J. Brazell, Andrew C. Kirby, and Dimitri Mavriplis (2017): A High-Order Discontinuous-Galerkin Octree-Based AMR Solver for Overset Simulations, American Institute of Aeronautics and Astronautics, 23rd AIAA Computational Fluid Dynamics Conference, Denver, Colorado, U.S.A.

2017

Andrew Kirby (2017): High Fidelity Blade-Resolved Wind Farm Simulations, 2017 Blue Waters Annual Report, pp274-275

Andrew C. Kirby: High-Fidelity Blade-Resolved Wind Plant Modeling


ACM Student Research Competition at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '17); Denver, Colorado, U.S.A., Nov 14, 2017

Blue Waters Graduate Fellow: Andrew Kirby


Dec 13, 2016

I am studying Mechanical Engineering at the University of Wyoming. I research numerical methods for computational fluid dynamics (CFD). My research is in the field of CFD. Specifically, I develop numerical solvers for the Navier-Stokes equations which govern fluid dynamics. I apply these methods that I develop to applications in wind energy and aerospace. We hope to simulate entire wind farm systems to determine properties such as power and thrust of the wind turbines and how their interactions interplay with each other. CFD also allows you to visualize your results. It gives a nice feedback loop on seeing you results (that are usually really cool to look at too). Lately, I have been really interested in the high performance computing aspect as well. I really enjoy trying to write really fast and efficient code that runs on the largest supercomputers in the world.


Sources:
 

Ten PhD students from across the country selected as Blue Waters Graduate Fellows


Apr 19, 2016

Ten outstanding computational science PhD students from across the country have been selected to receive Blue Waters Graduate Fellowships for 2016-2017. The fellowship program, now in its third year, provides substantial support and the opportunity to leverage the petascale power of National Center for Supercomputing Applications (NCSA) at the University of Illinois’s Blue Waters supercomputer to advance their research. The awards are made to outstanding PhD graduate students who have decided to incorporate high performance computing and data analysis into their research.


Sources: