ERF: Energy Research and Forecasting

Journal Article · 30 June 2023 · Journal of Open Source Software

DOI: https://doi.org/10.21105/joss.05202 · OSTI ID:1998622

Almgren, Ann  ^[1]; Lattanzi, Aaron  ^[1]; Haque, Riyaz  ^[2]; Jha, Pankaj  ^[2]; Kosovic, Branko  ^[3]; Mirocha, Jeffrey  ^[2]; Perry, Bruce  ^[4]; Quon, Eliot  ^[4]; Sanders, Michael  ^[5]; Wiersema, David  ^[2]; Willcox, Donald  ^[1]; Yuan, Xingqiu  ^[6]; Zhang, Weiqun  ^[1]

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1. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
2. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
3. National Center for Atmospheric Research (NCAR), Boulder, CO (United States)
4. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
5. San Diego State Univ., CA (United States)
6. Argonne National Laboratory (ANL), Argonne, IL (United States)

The Energy Research and Forecasting (ERF) code is a new model that simulates the mesoscale and microscale dynamics of the atmosphere using the latest high-performance computing architectures. It employs hierarchical parallelism using an MPI+X model, where X may be OpenMP on multicore CPU-only systems, or CUDA, HIP, or SYCL on GPU-accelerated systems. ERF is built on AMReX (Zhang et al., 2019, 2021), a block-structured adaptive mesh refinement (AMR) software framework that provides the underlying performance-portable software infrastructure for block-structured mesh operations. The "energy" aspect of ERF indicates that the software has been developed with renewable energy applications in mind. In addition to being a numerical weather prediction model, ERF is designed to provide a flexible computational framework for the exploration and investigation of different physics parameterizations and numerical strategies, and to characterize the flow field that impacts the ability of wind turbines to extract wind energy. The ERF development is part of a broader effort led by the US Department of Energy's Wind Energy Technologies Office.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
• Grant/Contract Number: AC36-08GO28308; AC02-05CH11231; AC52-07NA27344
• OSTI ID: 1998622
• Report Number(s): NREL/JA--5000-85388; MainId:86161; UUID:3b35aa97-358c-4fc1-9561-3643cac7dd26; MainAdminID:69472
• Journal Information: Journal of Open Source Software, Journal Name: Journal of Open Source Software Journal Issue: 87 Vol. 8; ISSN 2475-9066
• Publisher: Open Source Initiative - NumFOCUSCopyright Statement
• Country of Publication: United States
• Language: English