Prediction of the radiative heat transfer in small and large scale oxy-coal furnaces

Xin YANG; Alastair CLEMENTS; János SZUHÁNSZKI; Xiaohong HUANG; Oscar FARIAS MOGUEL; Jia LI; Jon GIBBINS; Zhaohui LIU; Chuguang ZHENG; Derek INGHAM; Lin MA; Bill NIMMO; Mohamed POURKASHANIAN

doi:10.1016/j.apenergy.2017.11.070

Prediction of the radiative heat transfer in small and large scale oxy-coal furnaces

Xin YANG, Alastair CLEMENTS, János SZUHÁNSZKI, Xiaohong HUANG, Oscar FARIAS MOGUEL, Jia LI, Jon GIBBINS, Zhaohui LIU, Chuguang ZHENG, Derek INGHAM, Lin MA^*, Bill NIMMO, Mohamed POURKASHANIAN

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

42 Citations (Scopus)

Abstract

Predicting thermal radiation for oxy-coal combustion highlights the importance of the radiation models for the spectral properties of gases and particles. This study numerically investigates radiation behaviours in small and large scale furnaces through refined radiative property models, using the full-spectrum correlated k (FSCK) model and Mie theory based data, compared with the conventional use of the weighted sum of grey gases (WSGG) model and the constant values of the particle radiation properties. Both oxy-coal combustion and air-fired combustion have been investigated numerically and compared with combustion plant experimental data. Reasonable agreements are obtained between the predicted results and the measured data. Employing the refined radiative property models achieves closer predicted heat transfer properties to the measured data from both furnaces. The gas-phase component of the radiation energy source term obtained from the FSCK property model is higher within the flame region than the values obtained by using the conventional methods. The impact of using non-grey radiation behaviour of gases through the FSCK is enhanced in the large scale furnace as the predicted gas radiation source term is approximately 2–3 times that obtained when using the WSGG, while the same term is in much closer agreement between the FSCK and the WSGG for the pilot-scale furnace. The predicted total radiation source term (from both gases and particles) is lower in the flame region after using the refined models, which results in a hotter flame (approximately 50–150 K higher in this study) compared with results obtained from conventional methods. In addition, the predicted surface incident radiation reduces by using the refined radiative property models for both furnaces, in which the difference is relevant with the difference in the predicted radiation properties between the two modelling techniques. Numerical uncertainties resulting from the influences of combustion model, turbulent particle dispersion and turbulence modelling on the radiation behaviours are discussed.

Original language	English
Pages (from-to)	523-537
Number of pages	15
Journal	Applied Energy
Volume	211
Early online date	21 Nov 2017
DOIs	https://doi.org/10.1016/j.apenergy.2017.11.070
Publication status	Published - 1 Feb 2018
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2017 The Authors

Funding

The authors would like to acknowledge the support from the Engineering and Physical Sciences Research Council EPSRC) grants (UKCCSRC-C2-193 , Investigating the radiative heat flux in small and large scale oxy-coal furnaces for CFD model development and system scale up). The authors also acknowledge the validation data obtained at the UKCCSRC PACT Facilities, funded by the Department for Business, Energy & Industrial Strategy (BEIS) and the Engineering and Physical Sciences Research Council (EPSRC).

Keywords

CFD
Oxyfuel combustion
Radiation model
Radiative heat transfer

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.apenergy.2017.11.070Licence: CC BY

Cite this

@article{74e7f4b5969b4a2896dd6502271f082f,

title = "Prediction of the radiative heat transfer in small and large scale oxy-coal furnaces",

abstract = "Predicting thermal radiation for oxy-coal combustion highlights the importance of the radiation models for the spectral properties of gases and particles. This study numerically investigates radiation behaviours in small and large scale furnaces through refined radiative property models, using the full-spectrum correlated k (FSCK) model and Mie theory based data, compared with the conventional use of the weighted sum of grey gases (WSGG) model and the constant values of the particle radiation properties. Both oxy-coal combustion and air-fired combustion have been investigated numerically and compared with combustion plant experimental data. Reasonable agreements are obtained between the predicted results and the measured data. Employing the refined radiative property models achieves closer predicted heat transfer properties to the measured data from both furnaces. The gas-phase component of the radiation energy source term obtained from the FSCK property model is higher within the flame region than the values obtained by using the conventional methods. The impact of using non-grey radiation behaviour of gases through the FSCK is enhanced in the large scale furnace as the predicted gas radiation source term is approximately 2–3 times that obtained when using the WSGG, while the same term is in much closer agreement between the FSCK and the WSGG for the pilot-scale furnace. The predicted total radiation source term (from both gases and particles) is lower in the flame region after using the refined models, which results in a hotter flame (approximately 50–150 K higher in this study) compared with results obtained from conventional methods. In addition, the predicted surface incident radiation reduces by using the refined radiative property models for both furnaces, in which the difference is relevant with the difference in the predicted radiation properties between the two modelling techniques. Numerical uncertainties resulting from the influences of combustion model, turbulent particle dispersion and turbulence modelling on the radiation behaviours are discussed.",

keywords = "CFD, Oxyfuel combustion, Radiation model, Radiative heat transfer",

author = "Xin YANG and Alastair CLEMENTS and J{\'a}nos SZUH{\'A}NSZKI and Xiaohong HUANG and {FARIAS MOGUEL}, Oscar and Jia LI and Jon GIBBINS and Zhaohui LIU and Chuguang ZHENG and Derek INGHAM and Lin MA and Bill NIMMO and Mohamed POURKASHANIAN",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors",

year = "2018",

month = feb,

day = "1",

doi = "10.1016/j.apenergy.2017.11.070",

language = "English",

volume = "211",

pages = "523--537",

journal = "Applied Energy",

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TY - JOUR

T1 - Prediction of the radiative heat transfer in small and large scale oxy-coal furnaces

AU - YANG, Xin

AU - CLEMENTS, Alastair

AU - SZUHÁNSZKI, János

AU - HUANG, Xiaohong

AU - FARIAS MOGUEL, Oscar

AU - LI, Jia

AU - GIBBINS, Jon

AU - LIU, Zhaohui

AU - ZHENG, Chuguang

AU - INGHAM, Derek

AU - MA, Lin

AU - NIMMO, Bill

AU - POURKASHANIAN, Mohamed

PY - 2018/2/1

Y1 - 2018/2/1

N2 - Predicting thermal radiation for oxy-coal combustion highlights the importance of the radiation models for the spectral properties of gases and particles. This study numerically investigates radiation behaviours in small and large scale furnaces through refined radiative property models, using the full-spectrum correlated k (FSCK) model and Mie theory based data, compared with the conventional use of the weighted sum of grey gases (WSGG) model and the constant values of the particle radiation properties. Both oxy-coal combustion and air-fired combustion have been investigated numerically and compared with combustion plant experimental data. Reasonable agreements are obtained between the predicted results and the measured data. Employing the refined radiative property models achieves closer predicted heat transfer properties to the measured data from both furnaces. The gas-phase component of the radiation energy source term obtained from the FSCK property model is higher within the flame region than the values obtained by using the conventional methods. The impact of using non-grey radiation behaviour of gases through the FSCK is enhanced in the large scale furnace as the predicted gas radiation source term is approximately 2–3 times that obtained when using the WSGG, while the same term is in much closer agreement between the FSCK and the WSGG for the pilot-scale furnace. The predicted total radiation source term (from both gases and particles) is lower in the flame region after using the refined models, which results in a hotter flame (approximately 50–150 K higher in this study) compared with results obtained from conventional methods. In addition, the predicted surface incident radiation reduces by using the refined radiative property models for both furnaces, in which the difference is relevant with the difference in the predicted radiation properties between the two modelling techniques. Numerical uncertainties resulting from the influences of combustion model, turbulent particle dispersion and turbulence modelling on the radiation behaviours are discussed.

AB - Predicting thermal radiation for oxy-coal combustion highlights the importance of the radiation models for the spectral properties of gases and particles. This study numerically investigates radiation behaviours in small and large scale furnaces through refined radiative property models, using the full-spectrum correlated k (FSCK) model and Mie theory based data, compared with the conventional use of the weighted sum of grey gases (WSGG) model and the constant values of the particle radiation properties. Both oxy-coal combustion and air-fired combustion have been investigated numerically and compared with combustion plant experimental data. Reasonable agreements are obtained between the predicted results and the measured data. Employing the refined radiative property models achieves closer predicted heat transfer properties to the measured data from both furnaces. The gas-phase component of the radiation energy source term obtained from the FSCK property model is higher within the flame region than the values obtained by using the conventional methods. The impact of using non-grey radiation behaviour of gases through the FSCK is enhanced in the large scale furnace as the predicted gas radiation source term is approximately 2–3 times that obtained when using the WSGG, while the same term is in much closer agreement between the FSCK and the WSGG for the pilot-scale furnace. The predicted total radiation source term (from both gases and particles) is lower in the flame region after using the refined models, which results in a hotter flame (approximately 50–150 K higher in this study) compared with results obtained from conventional methods. In addition, the predicted surface incident radiation reduces by using the refined radiative property models for both furnaces, in which the difference is relevant with the difference in the predicted radiation properties between the two modelling techniques. Numerical uncertainties resulting from the influences of combustion model, turbulent particle dispersion and turbulence modelling on the radiation behaviours are discussed.

KW - CFD

KW - Oxyfuel combustion

KW - Radiation model

KW - Radiative heat transfer

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U2 - 10.1016/j.apenergy.2017.11.070

DO - 10.1016/j.apenergy.2017.11.070

M3 - Journal Article (refereed)

AN - SCOPUS:85034663173

SN - 0306-2619

VL - 211

SP - 523

EP - 537

JO - Applied Energy

JF - Applied Energy

ER -

Prediction of the radiative heat transfer in small and large scale oxy-coal furnaces

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

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