Energy applications focus on the modeling and simulation of existing and future technologies for the efficient and responsible production of energy to meet the growing needs of the United States. These applications generally require detailed modeling of complex facilities and multiple coupled physical processes. Their goal is to help overcome obstacles.
Exascale Predictive Wind Plant Flow Physics Modeling
Objective: Turbine Wind Plant Efficiency
Harden wind plant design and layout against energy loss susceptibility; higher penetration of wind energy
Lead: National Renewable Energy Laboratory (NREL)
Principal Investigators: Mike Sprague, National Renewable Energy Laboratory; Paul Crozier, Sandia National Laboratories; John Turner, Oak Ridge National Laboratory
High-efficiency, Low- emission Combustion Engine Design
Objective: Advance Understanding of Fundamental Turbulence- Chemistry Interactions in Device-relevant Conditions
Transforming Combustion Science and Technology with Exascale Simulations
Lead: Sandia National Laboratories (SNL)
Principal Investigators: Jacqueline Chen, Sandia National Laboratories
Performance Prediction of Multiphase Energy Conversion Device
Objective: Scale-up of Clean Fossil Fuel Combustion
Commercial-scale demonstration of transformational energy technologies, curbing CO2 emission at fossil fuel power plants by 2030
Lead: National Energy Technology Laboratory (NETL)
Principal Investigators: Jordan Musser, National Energy Technology Laboratory
High-fidelity Whole Device Modeling of Magnetically Confined Fusion Plasmas
Objective: High-fidelity Whole Device Modeling of Magnetically Confined Fusion Plasmas
Prepare for the International Thermonuclear Experimental Reactor (ITER) experiments and increase return of investment (ROI) of validation data and understanding; prepare for beyond- ITER devices
Lead: Princeton Plasma Physics Laboratory (PPPL)
Principal Investigators: Amitava Bhattacharjee, Princeton Plasma Physics Laboratory (Lead PI); Choongseock "CS" Chang, Princeton Plasma Physics Laboratory (Co-Lead PI)
Coupled Monte Carlo Neutronics and Fluid Flow Simulation of Small Modular Reactors
Objective: Design and Commercialization of Small Modular Reactors
Visual test reactor for advanced designs via experimental-quality simulations of reactor behavior
Lead: Oak Ridge National Laboratory (ORNL)
Principal Investigators: Steven Hamilton, lead, Oak Ridge National Laboratory; Paul Romano, Argonne National Laboratory; Ben Forget, Massachusetts Institute of Technology
Exascale Modeling of Advanced Particle Accelerators
Objective: Plasma Wakefield Accelerator Design
Virtual design of 100-stage 1 TeV control; dramatically cut accelerator size and design cost
Lead: Lawrence Berkeley National Laboratory (LBNL)
Principal Investigators: Jean-Luc Vay, Lawrence Berkeley National Laboratory