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Title: PWR internal flow modeling with fuel assemblies details

Abstract

This study is an example of a massive parallel computing of the coolant flow in a nuclear reactor. It resolves the flow velocities in each assembly on pin level and predicts the flow distribution in complex geometries such as the lower and upper reactor plenums. The size of the developed model (1.035 billion cells) required the runs to be executed on the NCCS clusters (www.nccs.gov). STAR-CCM+ code (www.ed-adapco.com) was installed on two clusters: JAGUARXT5 and FROST, both of which were capable of executing this model. (authors)

Authors:
 [1]; ;  [2];  [1]; ;  [3]
  1. Oak Ridge National Lab., Oak Ridge, TN (United States)
  2. Westinghouse Electric Company, Columbia, SC (United States)
  3. CD-adapco, Melville, NY (United States)
Publication Date:
Research Org.:
American Nuclear Society, 555 North Kensington Avenue, La Grange Park, IL 60526 (United States)
OSTI Identifier:
22107806
Resource Type:
Conference
Resource Relation:
Conference: ICAPP '12: 2012 International Congress on Advances in Nuclear Power Plants, Chicago, IL (United States), 24-28 Jun 2012; Other Information: Country of input: France; 4 refs.; Related Information: In: Proceedings of the 2012 International Congress on Advances in Nuclear Power Plants - ICAPP '12| 2799 p.
Country of Publication:
United States
Language:
English
Subject:
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; COMPUTER CODES; COOLANTS; FLOW MODELS; FUEL ASSEMBLIES; GEOMETRY; NUCLEAR POWER PLANTS; PWR TYPE REACTORS; SIMULATION; VELOCITY

Citation Formats

Popov, E., Yan, J., Karoutas, Z., Gehin, J., Brewster, R., and Baglietto, E. PWR internal flow modeling with fuel assemblies details. United States: N. p., 2012. Web.
Popov, E., Yan, J., Karoutas, Z., Gehin, J., Brewster, R., & Baglietto, E. PWR internal flow modeling with fuel assemblies details. United States.
Popov, E., Yan, J., Karoutas, Z., Gehin, J., Brewster, R., and Baglietto, E. Sun . "PWR internal flow modeling with fuel assemblies details". United States.
@article{osti_22107806,
title = {PWR internal flow modeling with fuel assemblies details},
author = {Popov, E. and Yan, J. and Karoutas, Z. and Gehin, J. and Brewster, R. and Baglietto, E.},
abstractNote = {This study is an example of a massive parallel computing of the coolant flow in a nuclear reactor. It resolves the flow velocities in each assembly on pin level and predicts the flow distribution in complex geometries such as the lower and upper reactor plenums. The size of the developed model (1.035 billion cells) required the runs to be executed on the NCCS clusters (www.nccs.gov). STAR-CCM+ code (www.ed-adapco.com) was installed on two clusters: JAGUARXT5 and FROST, both of which were capable of executing this model. (authors)},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {7}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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