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Title: Response surface data for sensitivity study of industrial spray injected fluidized bed reactor

Abstract

An industrial fluidized bed reactor was designed to convert an aqueous solid laden stream into a consistent granular product. CFD simulations were run using the MFiX two-fluid model for this fluidizing bed operating at 650 °C. A set of simulations were run over a Latin-hypercube sample of five model parameters – bed particle size, bed particle density, coal particle size, spray feed flow rate, and fluidizing gas flow rate. Data from the simulations were collected on three quantities of interest – bed differential temperature, low solids velocity, and bed voidage. The data presented here is the full span of response surfaces generated using the process Gaussian response surface model in the Dakota code, as well as the table of data for coefficients of the fitted model. The fits to the five-dimensional Gaussian Process models were 0.7797, 0.8664, and 0.9440 for the temperature, velocity, and solids packing, respectively.

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1671048
Report Number(s):
INL/JOU-18-45423-Rev000
Journal ID: ISSN 2352-3409
Grant/Contract Number:  
AC07-05ID14517
Resource Type:
Accepted Manuscript
Journal Name:
Data in Brief
Additional Journal Information:
Journal Volume: 21; Journal Issue: 0; Journal ID: ISSN 2352-3409
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
12 - MGMT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; CFD; Fluidized Bed; MFIX

Citation Formats

Abboud, Alexander W., and Guillen, Donna P. Response surface data for sensitivity study of industrial spray injected fluidized bed reactor. United States: N. p., 2018. Web. doi:10.1016/j.dib.2018.09.105.
Abboud, Alexander W., & Guillen, Donna P. Response surface data for sensitivity study of industrial spray injected fluidized bed reactor. United States. doi:10.1016/j.dib.2018.09.105.
Abboud, Alexander W., and Guillen, Donna P. Sat . "Response surface data for sensitivity study of industrial spray injected fluidized bed reactor". United States. doi:10.1016/j.dib.2018.09.105. https://www.osti.gov/servlets/purl/1671048.
@article{osti_1671048,
title = {Response surface data for sensitivity study of industrial spray injected fluidized bed reactor},
author = {Abboud, Alexander W. and Guillen, Donna P.},
abstractNote = {An industrial fluidized bed reactor was designed to convert an aqueous solid laden stream into a consistent granular product. CFD simulations were run using the MFiX two-fluid model for this fluidizing bed operating at 650 °C. A set of simulations were run over a Latin-hypercube sample of five model parameters – bed particle size, bed particle density, coal particle size, spray feed flow rate, and fluidizing gas flow rate. Data from the simulations were collected on three quantities of interest – bed differential temperature, low solids velocity, and bed voidage. The data presented here is the full span of response surfaces generated using the process Gaussian response surface model in the Dakota code, as well as the table of data for coefficients of the fitted model. The fits to the five-dimensional Gaussian Process models were 0.7797, 0.8664, and 0.9440 for the temperature, velocity, and solids packing, respectively.},
doi = {10.1016/j.dib.2018.09.105},
journal = {Data in Brief},
number = 0,
volume = 21,
place = {United States},
year = {2018},
month = {12}
}

Journal Article:
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