A computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / Nor Fadilah Mohamad

A computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / Nor Fadilah Mohamad

Computational fluid dynamics modeling was completed on the coal combustion to be implemented at Jimah Coal Fired Power Plant. The model was created in the Design Modeler and exported to computational fluid dynamics software called FLUENT. Non-premixed combustion model was chosen for coal combustion...

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Main Author: Mohamad, Nor Fadilah
Format: Thesis
Language:English
Published: 2015
Subjects:
Emulsions
Fluidization
Online Access:http://ir.uitm.edu.my/id/eprint/15637/
http://ir.uitm.edu.my/id/eprint/15637/1/TM_NOR%20FADILAH%20MOHAMAD%20EH%2015_5.pdf
id uitm-15637
recordtype eprints
spelling uitm-156372017-01-15T07:44:43Z http://ir.uitm.edu.my/id/eprint/15637/ A computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / Nor Fadilah Mohamad Mohamad, Nor Fadilah Emulsions Fluidization Computational fluid dynamics modeling was completed on the coal combustion to be implemented at Jimah Coal Fired Power Plant. The model was created in the Design Modeler and exported to computational fluid dynamics software called FLUENT. Non-premixed combustion model was chosen for coal combustion in order to better understand about the combustion and emissions from the process. Coal is used as a fuel in the combustion. The fuels were modeled with an empirical formula for coal from proximate and ultimate analyses. In FLUENT solver, coal contains species such as carbon, hydrogen, nitrogen, oxygen and sulfur. The oxidant use of the combustion process consists of 79% of oxygen and 21% of nitrogen. The measurement of mercury emissions in stack gas has an average value of 8.5 pg/Nm3. The mercury removal efficiency of the plant is 99.32% that shows the reduction of the mercury emissions due to the co-benefit of the electrostatic precipitator and flue gas desulfiirization. The measured value of mercury concentration at the outlet of the furnace is 1250 pg/Nm3. The model was tested to predict the temperature and species distribution from the coal combustion. The model is a 2-D furnace geometry with a width of 15.3 m and height of 48.5 m. The model has 5731 nodes and 5554 elements. The standard k-e model was used for turbulence model. Besides that, mercury as a pollutant emission also had been predicted from the model as a post-processing from the combustion. From the simulation results, the distribution of the flue gases such as carbon dioxide, carbon monoxide, water and oxygen can be observed. The temperature of the furnace is higher in the combustion zone and decreased when flows upward towards the outlet of the furnace. The three models of mercury had been implemented in Fluent that consist of One Step Model, Two Step Model and Detailed Wilcox Model. Besides that, the distribution of mercury products such as Hg, HgCl and HgCh show its behavior in the furnace. When comparing with the measurement at the outlet of the furnace, the Detailed Wilcox Model has given more accurate value with 1270 pg/Nm3, while One Step Model and Two Step Model give reasonably predicted values of 1000 pg/Nm3 and 1100 pg/Nm3 respectively. 2015 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/15637/1/TM_NOR%20FADILAH%20MOHAMAD%20EH%2015_5.pdf Mohamad, Nor Fadilah (2015) A computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / Nor Fadilah Mohamad. Masters thesis, Universiti Teknologi MARA.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Emulsions
Fluidization
spellingShingle Emulsions
Fluidization
Mohamad, Nor Fadilah
A computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / Nor Fadilah Mohamad
description Computational fluid dynamics modeling was completed on the coal combustion to be implemented at Jimah Coal Fired Power Plant. The model was created in the Design Modeler and exported to computational fluid dynamics software called FLUENT. Non-premixed combustion model was chosen for coal combustion in order to better understand about the combustion and emissions from the process. Coal is used as a fuel in the combustion. The fuels were modeled with an empirical formula for coal from proximate and ultimate analyses. In FLUENT solver, coal contains species such as carbon, hydrogen, nitrogen, oxygen and sulfur. The oxidant use of the combustion process consists of 79% of oxygen and 21% of nitrogen. The measurement of mercury emissions in stack gas has an average value of 8.5 pg/Nm3. The mercury removal efficiency of the plant is 99.32% that shows the reduction of the mercury emissions due to the co-benefit of the electrostatic precipitator and flue gas desulfiirization. The measured value of mercury concentration at the outlet of the furnace is 1250 pg/Nm3. The model was tested to predict the temperature and species distribution from the coal combustion. The model is a 2-D furnace geometry with a width of 15.3 m and height of 48.5 m. The model has 5731 nodes and 5554 elements. The standard k-e model was used for turbulence model. Besides that, mercury as a pollutant emission also had been predicted from the model as a post-processing from the combustion. From the simulation results, the distribution of the flue gases such as carbon dioxide, carbon monoxide, water and oxygen can be observed. The temperature of the furnace is higher in the combustion zone and decreased when flows upward towards the outlet of the furnace. The three models of mercury had been implemented in Fluent that consist of One Step Model, Two Step Model and Detailed Wilcox Model. Besides that, the distribution of mercury products such as Hg, HgCl and HgCh show its behavior in the furnace. When comparing with the measurement at the outlet of the furnace, the Detailed Wilcox Model has given more accurate value with 1270 pg/Nm3, while One Step Model and Two Step Model give reasonably predicted values of 1000 pg/Nm3 and 1100 pg/Nm3 respectively.
format Thesis
author Mohamad, Nor Fadilah
author_facet Mohamad, Nor Fadilah
author_sort Mohamad, Nor Fadilah
title A computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / Nor Fadilah Mohamad
title_short A computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / Nor Fadilah Mohamad
title_full A computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / Nor Fadilah Mohamad
title_fullStr A computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / Nor Fadilah Mohamad
title_full_unstemmed A computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / Nor Fadilah Mohamad
title_sort computational fluid dynamics based study to predict mercury emissions in pulverized coal combustion / nor fadilah mohamad
publishDate 2015
url http://ir.uitm.edu.my/id/eprint/15637/
http://ir.uitm.edu.my/id/eprint/15637/1/TM_NOR%20FADILAH%20MOHAMAD%20EH%2015_5.pdf
first_indexed 2023-09-18T22:54:18Z
last_indexed 2023-09-18T22:54:18Z
_version_ 1777417750966173696

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