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Title: Development of a Reduced-Order Model for Reacting Gas-Solids Flow using Proper Orthogonal Decomposition

Abstract

This report summarizes the objectives, tasks and accomplishments made during the three year duration of this research project. The report presents the results obtained by applying advanced computational techniques to develop reduced-order models (ROMs) in the case of reacting multiphase flows based on high fidelity numerical simulation of gas-solids flow structures in risers and vertical columns obtained by the Multiphase Flow with Interphase eXchanges (MFIX) software. The research includes a numerical investigation of reacting and non-reacting gas-solids flow systems and computational analysis that will involve model development to accelerate the scale-up process for the design of fluidization systems by providing accurate solutions that match the full-scale models. The computational work contributes to the development of a methodology for obtaining ROMs that is applicable to the system of gas-solid flows. Finally, the validity of the developed ROMs is evaluated by comparing the results against those obtained using the MFIX code. Additionally, the robustness of existing POD-based ROMs for multiphase flows is improved by avoiding non-physical solutions of the gas void fraction and ensuring that the reduced kinetics models used for reactive flows in fluidized beds are thermodynamically consistent.

Authors:
 [1];  [1];  [1]
  1. Florida International Univ., Miami, FL (United States)
Publication Date:
Research Org.:
Florida International Univ., Miami, FL (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1411716
Report Number(s):
DOE-FIU-23114
DOE Contract Number:
FE0023114
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 42 ENGINEERING

Citation Formats

McDaniel, Dwayne, Dulikravich, George, and Cizmas, Paul. Development of a Reduced-Order Model for Reacting Gas-Solids Flow using Proper Orthogonal Decomposition. United States: N. p., 2017. Web. doi:10.2172/1411716.
McDaniel, Dwayne, Dulikravich, George, & Cizmas, Paul. Development of a Reduced-Order Model for Reacting Gas-Solids Flow using Proper Orthogonal Decomposition. United States. doi:10.2172/1411716.
McDaniel, Dwayne, Dulikravich, George, and Cizmas, Paul. Mon . "Development of a Reduced-Order Model for Reacting Gas-Solids Flow using Proper Orthogonal Decomposition". United States. doi:10.2172/1411716. https://www.osti.gov/servlets/purl/1411716.
@article{osti_1411716,
title = {Development of a Reduced-Order Model for Reacting Gas-Solids Flow using Proper Orthogonal Decomposition},
author = {McDaniel, Dwayne and Dulikravich, George and Cizmas, Paul},
abstractNote = {This report summarizes the objectives, tasks and accomplishments made during the three year duration of this research project. The report presents the results obtained by applying advanced computational techniques to develop reduced-order models (ROMs) in the case of reacting multiphase flows based on high fidelity numerical simulation of gas-solids flow structures in risers and vertical columns obtained by the Multiphase Flow with Interphase eXchanges (MFIX) software. The research includes a numerical investigation of reacting and non-reacting gas-solids flow systems and computational analysis that will involve model development to accelerate the scale-up process for the design of fluidization systems by providing accurate solutions that match the full-scale models. The computational work contributes to the development of a methodology for obtaining ROMs that is applicable to the system of gas-solid flows. Finally, the validity of the developed ROMs is evaluated by comparing the results against those obtained using the MFIX code. Additionally, the robustness of existing POD-based ROMs for multiphase flows is improved by avoiding non-physical solutions of the gas void fraction and ensuring that the reduced kinetics models used for reactive flows in fluidized beds are thermodynamically consistent.},
doi = {10.2172/1411716},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Nov 27 00:00:00 EST 2017},
month = {Mon Nov 27 00:00:00 EST 2017}
}

Technical Report:

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