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Title: Decrease time-to-solution through improved linear-system setup and solve.

Abstract

The goal of the ExaWind project is to enable predictive simulations of wind farms composed of many MW-scale turbines situated in complex terrain. Predictive simulations will require computational fluid dynamics (CFD) simulations for which the mesh resolves the geometry of the turbines, and captures the rotation and large deflections of blades. Whereas such simulations for a single turbine are arguably petascale class, multi-turbine wind farm simulations will require exascale-class resources.

Authors:
 [1];  [2];  [1];  [2];  [1];  [1];  [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1431236
Report Number(s):
SAND2018-3204R
661790
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY

Citation Formats

Hu, Jonathan J., Thomas, Stephen, Dohrmann, Clark R., Ananthan, Shreyas, Domino, Stefan P., Williams, Alan B., and Sprague, Michael. Decrease time-to-solution through improved linear-system setup and solve.. United States: N. p., 2018. Web. doi:10.2172/1431236.
Hu, Jonathan J., Thomas, Stephen, Dohrmann, Clark R., Ananthan, Shreyas, Domino, Stefan P., Williams, Alan B., & Sprague, Michael. Decrease time-to-solution through improved linear-system setup and solve.. United States. doi:10.2172/1431236.
Hu, Jonathan J., Thomas, Stephen, Dohrmann, Clark R., Ananthan, Shreyas, Domino, Stefan P., Williams, Alan B., and Sprague, Michael. Thu . "Decrease time-to-solution through improved linear-system setup and solve.". United States. doi:10.2172/1431236. https://www.osti.gov/servlets/purl/1431236.
@article{osti_1431236,
title = {Decrease time-to-solution through improved linear-system setup and solve.},
author = {Hu, Jonathan J. and Thomas, Stephen and Dohrmann, Clark R. and Ananthan, Shreyas and Domino, Stefan P. and Williams, Alan B. and Sprague, Michael},
abstractNote = {The goal of the ExaWind project is to enable predictive simulations of wind farms composed of many MW-scale turbines situated in complex terrain. Predictive simulations will require computational fluid dynamics (CFD) simulations for which the mesh resolves the geometry of the turbines, and captures the rotation and large deflections of blades. Whereas such simulations for a single turbine are arguably petascale class, multi-turbine wind farm simulations will require exascale-class resources.},
doi = {10.2172/1431236},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}

Technical Report:

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