Energy

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.

ExaWind

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: Michael Sprague, lead, National Renewable Energy Laboratory; Paul Crozier, Sandia National Laboratories; John Turner, Oak Ridge National Laboratory; Shreyas Anathan, National Renewable Energy Laboratory; Robert Moser, University of Texas at Austin

Combustion-PELE

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, lead, Sandia National Laboratories; Ray Grout, National Renewable Energy Laboratory; John Bell, Lawrence Berkeley National Laboratory; Ramanan Sankaran, Oak Ridge National Laboratory; Stephen Klippenstein, Argonne National Laboratory

MFIX-Exa

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: Madhava Syamlal, lead, National Energy Technology Laboratory; Jordan Musser, National Energy Technology Laboratory; Ann Almgren, Lawrence Berkeley National Laboratory; John Bell, Lawrence Berkeley National Laboratory; Christine Hrenya, University of Colorado Boulder; Thomas Hauser, University of Colorado Boulder

WDMApp

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, lead, Princeton Plasma Physics Laboratory; Chong-Seock Chang, Princeton Plasma Physics Laboratory; Andrew Siegel, Argonne National Laboratory

ExaSMR

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; Kord Smith, Massachusetts Institute of Technology

WarpX

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, lead, Lawrence Berkeley National Laboratory; Ann Almgren, Lawrence Berkeley National Laboratory