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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th-cmuir.6653943832-452362018-01-24T06:07:07Z Prediction of slag occurrence in a Lignite-Fired utility boiler Pakamon Pintana Nakorn Tippayawong 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. 2018-01-24T06:07:07Z 2018-01-24T06:07:07Z 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/6653943832/45236 |
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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 |
| spellingShingle |
Pakamon Pintana Nakorn Tippayawong Prediction of slag occurrence in a Lignite-Fired utility boiler |
| 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 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904053382&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/45236 |
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