Chapter 1: Looking Forward: The Promise and Challenge of Exascale Computing

Michael Sprague, Michael Robinson

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The demand for HFM development and HPC resources for improved predictive modelling capability for wind energy will continue to grow as industry and government seek solutions to (1) mitigate risk and uncertainty of technology development at multimegawatt-turbine scales, (2) address new requirements driving renewable energy deployment and high -penetration scenarios, (3) understand the impacts of multiple gigawatt-scale plant deployments on microclimatology and grid architectures for both land-based and offshore installation, and (4) evolve the systems and processes needed for the dispatch of renewable energy generation on a national scale supporting a mix of power-generation technologies. When considering the cost of developing a new offshore multimegawatt commercial wind turbine product line or the financial risk of a large offshore wind plant deployment, predictive HPC and HFM simulations that incorporate integrated design, cost analysis, and O&M predictions will become an essential part of the early design and development process.
Original languageAmerican English
Title of host publicationWind Energy Modeling and Simulation, Volume 1: Atmosphere and Plant
Subtitle of host publicationIET Energy Engineering Series, Volume 125
EditorsP. Veers
Pages1-22
DOIs
StatePublished - 2019

NREL Publication Number

  • NREL/CH-5000-72758

Keywords

  • parallel software
  • power engineering computing
  • power system management, operation and economics
  • wind power plants

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