Prediction of slag occurrence in a Lignite-Fired utility boiler

Lignite from Mae Moh mine is the largest source of solid fuel for electricity generation in Thailand. It is used in pulverized coal-fired boilers of a 2400 MW thermal power plant. Its high CaO content in ash is a major concern that can affect severe slagging. In this paper, potential of slag occurre...

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Main Authors:	Pakamon Pintana, Nakorn Tippayawong
Format:	Journal
Published:	2018
Subjects:	Environmental Science Social Sciences
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904053382&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53587
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-53587
record_format	dspace
spelling	th-cmuir.6653943832-535872018-09-04T10:02:29Z Prediction of slag occurrence in a Lignite-Fired utility boiler Pakamon Pintana Nakorn Tippayawong Environmental Science Social Sciences Lignite from Mae Moh mine is the largest source of solid fuel for electricity generation in Thailand. It is used in pulverized coal-fired boilers of a 2400 MW thermal power plant. Its high CaO content in ash is a major concern that can affect severe slagging. In this paper, potential of slag occurrence in the power plant was investigated by numerical simulation. The FactSage thermochemical package was used to predict ash and slag behaviour, as well as ash fusion temperature. A commercial CFD package was also employed to simulate gas velocity and temperature distribution, particle trajectory and temperature, and wall heat flux in a utility boiler of the power plant. The results were found to show good quantitatively and qualitatively prediction of slag formation. They can be applied to predict slag deposition inside the boiler effectively. 2018-09-04T09:52:13Z 2018-09-04T09:52:13Z 2014-01-01 Journal 22243496 17905079 2-s2.0-84904053382 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904053382&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53587
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Environmental Science Social Sciences
spellingShingle	Environmental Science Social Sciences Pakamon Pintana Nakorn Tippayawong Prediction of slag occurrence in a Lignite-Fired utility boiler
description	Lignite from Mae Moh mine is the largest source of solid fuel for electricity generation in Thailand. It is used in pulverized coal-fired boilers of a 2400 MW thermal power plant. Its high CaO content in ash is a major concern that can affect severe slagging. In this paper, potential of slag occurrence in the power plant was investigated by numerical simulation. The FactSage thermochemical package was used to predict ash and slag behaviour, as well as ash fusion temperature. A commercial CFD package was also employed to simulate gas velocity and temperature distribution, particle trajectory and temperature, and wall heat flux in a utility boiler of the power plant. The results were found to show good quantitatively and qualitatively prediction of slag formation. They can be applied to predict slag deposition inside the boiler effectively.
format	Journal
author	Pakamon Pintana Nakorn Tippayawong
author_facet	Pakamon Pintana Nakorn Tippayawong
author_sort	Pakamon Pintana
title	Prediction of slag occurrence in a Lignite-Fired utility boiler
title_short	Prediction of slag occurrence in a Lignite-Fired utility boiler
title_full	Prediction of slag occurrence in a Lignite-Fired utility boiler
title_fullStr	Prediction of slag occurrence in a Lignite-Fired utility boiler
title_full_unstemmed	Prediction of slag occurrence in a Lignite-Fired utility boiler
title_sort	prediction of slag occurrence in a lignite-fired utility boiler
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904053382&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53587
_version_	1681424163183525888

Prediction of slag occurrence in a Lignite-Fired utility boiler

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