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

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 a fluidizing bed operating at 650 °C. A set of simulations were run over a Latin-hypercube sample of five model pa...

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Main Authors: Alexander W. Abboud, Donna P. Guillen
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918311831
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author Alexander W. Abboud
Donna P. Guillen
author_facet Alexander W. Abboud
Donna P. Guillen
author_sort Alexander W. Abboud
collection DOAJ
description 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 a 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 void fraction. The data presented here is the full set of response surfaces generated using the process Gaussian response surface model in the Dakota toolkit, 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.
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spelling doaj.art-710db1b4734e4f9594a49875c2cb20342022-12-21T18:33:21ZengElsevierData in Brief2352-34092018-12-0121154166Response surface data for sensitivity study of industrial spray injected fluidized bed reactorAlexander W. Abboud0Donna P. Guillen1Corresponding author.; Materials Science and Engineering Department, Idaho National Laboratory, United StatesMaterials Science and Engineering Department, Idaho National Laboratory, United StatesAn 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 a 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 void fraction. The data presented here is the full set of response surfaces generated using the process Gaussian response surface model in the Dakota toolkit, 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.http://www.sciencedirect.com/science/article/pii/S2352340918311831
spellingShingle Alexander W. Abboud
Donna P. Guillen
Response surface data for sensitivity study of industrial spray injected fluidized bed reactor
Data in Brief
title Response surface data for sensitivity study of industrial spray injected fluidized bed reactor
title_full Response surface data for sensitivity study of industrial spray injected fluidized bed reactor
title_fullStr Response surface data for sensitivity study of industrial spray injected fluidized bed reactor
title_full_unstemmed Response surface data for sensitivity study of industrial spray injected fluidized bed reactor
title_short Response surface data for sensitivity study of industrial spray injected fluidized bed reactor
title_sort response surface data for sensitivity study of industrial spray injected fluidized bed reactor
url http://www.sciencedirect.com/science/article/pii/S2352340918311831
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