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Granular Temperature Modeling with Large-Scale CFD-DEM Data

Technical Report ·
DOI:https://doi.org/10.2172/2447450· OSTI ID:2447450
 [1];  [2]
  1. Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States); New Jersey Institute of Technology (NJIT), Newark, NJ (United States)
  2. National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
The granular temperature is a measure of solids-phase fluctuating kinetic energy in particle-laden gas-solid flows. This report focuses on reduced-order models of granular temperature in triply-periodic cluster induced turbulent flow. The granular temperature data was generated by post-processing large-scale CFD-DEM simulations that were carried out as part of an ALCC awarded study. The algebraic model of Tang et al, originally fit to DNS data, was found to be amenable to the present data. The results of several regression analyses are presented building on the original expression. This work was performed in part through the National Nuclear Security Administration (NNSA) Minority Serving Institutions Internship Program (MSIIP).
Research Organization:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Organization:
USDOE Office of Fossil Energy and Carbon Management (FECM)
OSTI ID:
2447450
Report Number(s):
DOE/NETL--2024/4482
Country of Publication:
United States
Language:
English

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