Modeling of conversion of a single fuel particle in a CFD model for CFB combustion

Timo Niemi; Sirpa Kallio

Modeling of conversion of a single fuel particle in a CFD model for CFB combustion

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

In CFB combustion, fuel conversion is limited by mass and heat transfer and chemical reactions inside the particle. In CFD simulation, computation of the local instantaneous conversion rate of a single fuel particle should be fast. The objective of the present study is to convert a shrinking particle model for coal combustion into a correlation based description that can easily be implemented in a CFD code. The single particle model was used to produce net reaction rates averaged over particle volume in a wide range of fluidization, temperature and composition conditions. The data was used to train neural network models that are fast to compute and easy to implement in a CFD code.

Original language	English
Title of host publication	Proceedings
Publisher	Częstochowa University of Technology (CUT)
Pages	765-772
ISBN (Print)	978-83-62079-16-2
Publication status	Published - 1 Jan 2017
MoE publication type	A4 Article in a conference publication
Event	12th International Conference on Fluidized Bed Technology, CFB-12 - Krakow, Poland Duration: 23 May 2017 → 26 May 2017

Conference

Conference	12th International Conference on Fluidized Bed Technology, CFB-12
Abbreviated title	CFB-12
Country/Territory	Poland
City	Krakow
Period	23/05/17 → 26/05/17

Keywords

char
combustion
gasification
modeling
neural network
shrinking particle

Cite this

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title = "Modeling of conversion of a single fuel particle in a CFD model for CFB combustion",

abstract = "In CFB combustion, fuel conversion is limited by mass and heat transfer and chemical reactions inside the particle. In CFD simulation, computation of the local instantaneous conversion rate of a single fuel particle should be fast. The objective of the present study is to convert a shrinking particle model for coal combustion into a correlation based description that can easily be implemented in a CFD code. The single particle model was used to produce net reaction rates averaged over particle volume in a wide range of fluidization, temperature and composition conditions. The data was used to train neural network models that are fast to compute and easy to implement in a CFD code.",

keywords = "char, combustion, gasification, modeling, neural network, shrinking particle",

author = "Timo Niemi and Sirpa Kallio",

year = "2017",

month = jan,

day = "1",

language = "English",

isbn = "978-83-62079-16-2",

pages = "765--772",

booktitle = "Proceedings",

publisher = "Cz{\c e}stochowa University of Technology (CUT)",

address = "Poland",

note = "12th International Conference on Fluidized Bed Technology, CFB-12, CFB-12 ; Conference date: 23-05-2017 Through 26-05-2017",

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TY - GEN

T1 - Modeling of conversion of a single fuel particle in a CFD model for CFB combustion

AU - Niemi, Timo

AU - Kallio, Sirpa

PY - 2017/1/1

Y1 - 2017/1/1

N2 - In CFB combustion, fuel conversion is limited by mass and heat transfer and chemical reactions inside the particle. In CFD simulation, computation of the local instantaneous conversion rate of a single fuel particle should be fast. The objective of the present study is to convert a shrinking particle model for coal combustion into a correlation based description that can easily be implemented in a CFD code. The single particle model was used to produce net reaction rates averaged over particle volume in a wide range of fluidization, temperature and composition conditions. The data was used to train neural network models that are fast to compute and easy to implement in a CFD code.

AB - In CFB combustion, fuel conversion is limited by mass and heat transfer and chemical reactions inside the particle. In CFD simulation, computation of the local instantaneous conversion rate of a single fuel particle should be fast. The objective of the present study is to convert a shrinking particle model for coal combustion into a correlation based description that can easily be implemented in a CFD code. The single particle model was used to produce net reaction rates averaged over particle volume in a wide range of fluidization, temperature and composition conditions. The data was used to train neural network models that are fast to compute and easy to implement in a CFD code.

KW - char

KW - combustion

KW - gasification

KW - modeling

KW - neural network

KW - shrinking particle

UR - https://www.scopus.com/pages/publications/85052293043

M3 - Conference article in proceedings

SN - 978-83-62079-16-2

SP - 765

EP - 772

BT - Proceedings

PB - Częstochowa University of Technology (CUT)

T2 - 12th International Conference on Fluidized Bed Technology, CFB-12

Y2 - 23 May 2017 through 26 May 2017

ER -

Modeling of conversion of a single fuel particle in a CFD model for CFB combustion

Abstract

Conference

Keywords

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