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Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics

The main motivation for using fluidized beds in gasification is their excellent gas-fuel mixing ability that cause isothermal conditions and low operating temperature. Understanding the fluidized bed hydrodynamics and flow regime is the key to address the issues of poor gas-fuel mixing. In the curre...

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Main Authors: Afrooz, I.E., Ling Chuan Ching, D.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094676969&doi=10.1109%2fCSUDET47057.2019.9214717&partnerID=40&md5=aed4cee2b3543be360ea4951c3630171
http://eprints.utp.edu.my/23552/
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spelling my.utp.eprints.235522021-08-19T07:56:57Z Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics Afrooz, I.E. Ling Chuan Ching, D. The main motivation for using fluidized beds in gasification is their excellent gas-fuel mixing ability that cause isothermal conditions and low operating temperature. Understanding the fluidized bed hydrodynamics and flow regime is the key to address the issues of poor gas-fuel mixing. In the current work, a fluidized bed is modeled and studied using ANSYS fluent 15. For this purpose, Eulerian-Lagrangian (EL) approach is chosen to simulate the fluidized bed gasifier hydrodynamics. In this method, the fluid is considered as continuum phase by solving the Navier-Stokes equations. Moreover, particles are treated as dispersed phase and being solved by Lagrangian trajectory calculations including coupling with the continuous phase. To include particle-particle interactions, the Discrete Element Model (DEM) as part of Discrete Phase Model (DPM) capability is also used. Simulation and experimental results are then presented and compared. The results showed that the EL approach can predict well the gas-solid mixing hydrodynamic behavior. Considering the fluidized bed particle movements and bed pressure, a good agreement was observed between computational fluid dynamics and the experimental results. Therefore, it can be concluded that the Eulerian-Lagrangian simulation approach can accurately predict the fluidized bed hydrodynamics. © 2019 IEEE. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094676969&doi=10.1109%2fCSUDET47057.2019.9214717&partnerID=40&md5=aed4cee2b3543be360ea4951c3630171 Afrooz, I.E. and Ling Chuan Ching, D. (2019) Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics. In: UNSPECIFIED. http://eprints.utp.edu.my/23552/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The main motivation for using fluidized beds in gasification is their excellent gas-fuel mixing ability that cause isothermal conditions and low operating temperature. Understanding the fluidized bed hydrodynamics and flow regime is the key to address the issues of poor gas-fuel mixing. In the current work, a fluidized bed is modeled and studied using ANSYS fluent 15. For this purpose, Eulerian-Lagrangian (EL) approach is chosen to simulate the fluidized bed gasifier hydrodynamics. In this method, the fluid is considered as continuum phase by solving the Navier-Stokes equations. Moreover, particles are treated as dispersed phase and being solved by Lagrangian trajectory calculations including coupling with the continuous phase. To include particle-particle interactions, the Discrete Element Model (DEM) as part of Discrete Phase Model (DPM) capability is also used. Simulation and experimental results are then presented and compared. The results showed that the EL approach can predict well the gas-solid mixing hydrodynamic behavior. Considering the fluidized bed particle movements and bed pressure, a good agreement was observed between computational fluid dynamics and the experimental results. Therefore, it can be concluded that the Eulerian-Lagrangian simulation approach can accurately predict the fluidized bed hydrodynamics. © 2019 IEEE.
format Conference or Workshop Item
author Afrooz, I.E.
Ling Chuan Ching, D.
spellingShingle Afrooz, I.E.
Ling Chuan Ching, D.
Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics
author_facet Afrooz, I.E.
Ling Chuan Ching, D.
author_sort Afrooz, I.E.
title Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics
title_short Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics
title_full Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics
title_fullStr Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics
title_full_unstemmed Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics
title_sort eulerian-lagrangian approach evaluation for numerically prediction of fluidized bed hydrodynamics
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094676969&doi=10.1109%2fCSUDET47057.2019.9214717&partnerID=40&md5=aed4cee2b3543be360ea4951c3630171
http://eprints.utp.edu.my/23552/
_version_ 1738656488216330240
score 13.211869

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