Advance thermal configuration using computational fluid dynamic in co-firing coal and biomass.

In Malaysia, coal is the largest fossil fuel used to generate power electricity which is 54.05%. By burning coal, greenhouse gas (GHG) emissions will continuously increase and affect global warming. Therefore, one of the alternatives is by promoting the co-firing coal and biomass in the existing coa...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Md. Lias, Mohd. Khairul Hafiz, Abdul Wahid, Mazlan
التنسيق: Conference or Workshop Item
منشور في: 2023
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الوصول للمادة أونلاين:http://eprints.utm.my/107275/
http://dx.doi.org/10.1063/5.0136480
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spelling my.utm.1072752024-09-01T06:38:23Z http://eprints.utm.my/107275/ Advance thermal configuration using computational fluid dynamic in co-firing coal and biomass. Md. Lias, Mohd. Khairul Hafiz Abdul Wahid, Mazlan TJ Mechanical engineering and machinery In Malaysia, coal is the largest fossil fuel used to generate power electricity which is 54.05%. By burning coal, greenhouse gas (GHG) emissions will continuously increase and affect global warming. Therefore, one of the alternatives is by promoting the co-firing coal and biomass in the existing coal-fired power plant in Malaysia. The past decade has seen an increase in the use of Computational Fluid Dynamic (CFD) to analyse the thermal performance of the coal-fired power plant. A coal-fired power plant for this study is referring to a 150MW subcritical boiler with tangential burner with the design pressure and temperature are 188 bar and 540 °C. This plant burned coal from Adaro and Hatillo. CFD simulation for co-firing is using 5% of sawdust at first level burners. From this study, several CFD methods were applied including the Eulerian-Langrangian approach to solve the two-phase gas-solid equation, Reynolds Averaged Navier Stokes (RANS) equation combined with k-ɛ Model to solve the turbulence problem in the gas phase, Discrete Ordinates Method (DO) to solve the radiative transfer equation (RTE) and Weighted Sum of Gray Gases Model (WSGGM) was used to calculate the absorption coefficient of the gas mixture. Based on the contour analysis result, found out that by co-firing coal and biomass, the burnout is reduced from an average of 0.45 kg/s to 0.33 kg/s when compared to pure coal combustion. This is mainly due to high volatile matters (VM) in the biomass. The concentration per unit thermal is also reduced to 42% when co-firing with sawdust. The early devolatilization will increase the gas and local temperature at each burner zone. The CO concentration was higher at the burner zone due to devolatilization. 2023-07-20 Conference or Workshop Item PeerReviewed Md. Lias, Mohd. Khairul Hafiz and Abdul Wahid, Mazlan (2023) Advance thermal configuration using computational fluid dynamic in co-firing coal and biomass. In: 12th International Meeting on Advances in Thermofluids, IMAT 2021, 1 November 2021, Johor Bahru, Malaysia. http://dx.doi.org/10.1063/5.0136480
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Md. Lias, Mohd. Khairul Hafiz
Abdul Wahid, Mazlan
Advance thermal configuration using computational fluid dynamic in co-firing coal and biomass.
description In Malaysia, coal is the largest fossil fuel used to generate power electricity which is 54.05%. By burning coal, greenhouse gas (GHG) emissions will continuously increase and affect global warming. Therefore, one of the alternatives is by promoting the co-firing coal and biomass in the existing coal-fired power plant in Malaysia. The past decade has seen an increase in the use of Computational Fluid Dynamic (CFD) to analyse the thermal performance of the coal-fired power plant. A coal-fired power plant for this study is referring to a 150MW subcritical boiler with tangential burner with the design pressure and temperature are 188 bar and 540 °C. This plant burned coal from Adaro and Hatillo. CFD simulation for co-firing is using 5% of sawdust at first level burners. From this study, several CFD methods were applied including the Eulerian-Langrangian approach to solve the two-phase gas-solid equation, Reynolds Averaged Navier Stokes (RANS) equation combined with k-ɛ Model to solve the turbulence problem in the gas phase, Discrete Ordinates Method (DO) to solve the radiative transfer equation (RTE) and Weighted Sum of Gray Gases Model (WSGGM) was used to calculate the absorption coefficient of the gas mixture. Based on the contour analysis result, found out that by co-firing coal and biomass, the burnout is reduced from an average of 0.45 kg/s to 0.33 kg/s when compared to pure coal combustion. This is mainly due to high volatile matters (VM) in the biomass. The concentration per unit thermal is also reduced to 42% when co-firing with sawdust. The early devolatilization will increase the gas and local temperature at each burner zone. The CO concentration was higher at the burner zone due to devolatilization.
format Conference or Workshop Item
author Md. Lias, Mohd. Khairul Hafiz
Abdul Wahid, Mazlan
author_facet Md. Lias, Mohd. Khairul Hafiz
Abdul Wahid, Mazlan
author_sort Md. Lias, Mohd. Khairul Hafiz
title Advance thermal configuration using computational fluid dynamic in co-firing coal and biomass.
title_short Advance thermal configuration using computational fluid dynamic in co-firing coal and biomass.
title_full Advance thermal configuration using computational fluid dynamic in co-firing coal and biomass.
title_fullStr Advance thermal configuration using computational fluid dynamic in co-firing coal and biomass.
title_full_unstemmed Advance thermal configuration using computational fluid dynamic in co-firing coal and biomass.
title_sort advance thermal configuration using computational fluid dynamic in co-firing coal and biomass.
publishDate 2023
url http://eprints.utm.my/107275/
http://dx.doi.org/10.1063/5.0136480
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