CFD based investigation on effect of classifier blade length to coal particle distribution in coal pulverizer

E. S.K. Why, Firas Basim Ismail, Hasril Hasini, M. S. Nasif

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Classification of fine coal dust is very important in thermal power plant, in order to ensure complete combustion of fuel in the burner. Fine coal particulate is able to provide higher combustion efficiency as compared to coarse coal particulate, due to high surface area. In this investigation, modification of coal pulverizer classifier with new geometries were proposed, by extending the classifier blade into four different lengths: 4.36", 8.36", 12.36" and 16.36". Computational fluid dynamics (CFD) modelling was used to investigate the effects of classifier blade length to coal particles size distribution at outlet. CFD simulation of coal classifier model based on original design was initially done and validated by plant data. Next, four different blade length at a common fixed angle of 40°were tested, and the effects to resulting coal fineness were recorded. The simulation studies showed that the optimum blade length was found to be 12.36". The simulated classifier is able to achieve 71.5% of particles passing 75 μm sieve, with 57% classifier efficiency. A coal fineness improvement of 11% is achieved by the new design as compared to original design of the classifier model.

Original languageEnglish
Title of host publication6th International Conference on Production, Energy and Reliability 2018
Subtitle of host publicationWorld Engineering Science and Technology Congress, ESTCON 2018
EditorsMohammad Shakir Nasif, Shaharin Anwar B. Sulaiman, Srinivasa Rao Pedapati, Hamdan Ya, Othman B. Mamat, William Pao King Soon
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735417618
DOIs
Publication statusPublished - 13 Nov 2018
Event6th International Conference on Production, Energy and Reliability, ICPER 2018 - Kuala Lumpur, Malaysia
Duration: 13 Aug 201814 Aug 2018

Publication series

NameAIP Conference Proceedings
Volume2035
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other6th International Conference on Production, Energy and Reliability, ICPER 2018
CountryMalaysia
CityKuala Lumpur
Period13/08/1814/08/18

Fingerprint

computational fluid dynamics
classifiers
blades
coal
fineness
particulates
combustion efficiency
sieves
turbogenerators
burners
power plants
outlets
particle size distribution
simulation
dust
geometry

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Why, E. S. K., Ismail, F. B., Hasini, H., & Nasif, M. S. (2018). CFD based investigation on effect of classifier blade length to coal particle distribution in coal pulverizer. In M. S. Nasif, S. A. B. Sulaiman, S. R. Pedapati, H. Ya, O. B. Mamat, & W. P. K. Soon (Eds.), 6th International Conference on Production, Energy and Reliability 2018: World Engineering Science and Technology Congress, ESTCON 2018 [040001] (AIP Conference Proceedings; Vol. 2035). American Institute of Physics Inc.. https://doi.org/10.1063/1.5075565
Why, E. S.K. ; Ismail, Firas Basim ; Hasini, Hasril ; Nasif, M. S. / CFD based investigation on effect of classifier blade length to coal particle distribution in coal pulverizer. 6th International Conference on Production, Energy and Reliability 2018: World Engineering Science and Technology Congress, ESTCON 2018. editor / Mohammad Shakir Nasif ; Shaharin Anwar B. Sulaiman ; Srinivasa Rao Pedapati ; Hamdan Ya ; Othman B. Mamat ; William Pao King Soon. American Institute of Physics Inc., 2018. (AIP Conference Proceedings).
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title = "CFD based investigation on effect of classifier blade length to coal particle distribution in coal pulverizer",
abstract = "Classification of fine coal dust is very important in thermal power plant, in order to ensure complete combustion of fuel in the burner. Fine coal particulate is able to provide higher combustion efficiency as compared to coarse coal particulate, due to high surface area. In this investigation, modification of coal pulverizer classifier with new geometries were proposed, by extending the classifier blade into four different lengths: 4.36{"}, 8.36{"}, 12.36{"} and 16.36{"}. Computational fluid dynamics (CFD) modelling was used to investigate the effects of classifier blade length to coal particles size distribution at outlet. CFD simulation of coal classifier model based on original design was initially done and validated by plant data. Next, four different blade length at a common fixed angle of 40°were tested, and the effects to resulting coal fineness were recorded. The simulation studies showed that the optimum blade length was found to be 12.36{"}. The simulated classifier is able to achieve 71.5{\%} of particles passing 75 μm sieve, with 57{\%} classifier efficiency. A coal fineness improvement of 11{\%} is achieved by the new design as compared to original design of the classifier model.",
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Why, ESK, Ismail, FB, Hasini, H & Nasif, MS 2018, CFD based investigation on effect of classifier blade length to coal particle distribution in coal pulverizer. in MS Nasif, SAB Sulaiman, SR Pedapati, H Ya, OB Mamat & WPK Soon (eds), 6th International Conference on Production, Energy and Reliability 2018: World Engineering Science and Technology Congress, ESTCON 2018., 040001, AIP Conference Proceedings, vol. 2035, American Institute of Physics Inc., 6th International Conference on Production, Energy and Reliability, ICPER 2018, Kuala Lumpur, Malaysia, 13/08/18. https://doi.org/10.1063/1.5075565

CFD based investigation on effect of classifier blade length to coal particle distribution in coal pulverizer. / Why, E. S.K.; Ismail, Firas Basim; Hasini, Hasril; Nasif, M. S.

6th International Conference on Production, Energy and Reliability 2018: World Engineering Science and Technology Congress, ESTCON 2018. ed. / Mohammad Shakir Nasif; Shaharin Anwar B. Sulaiman; Srinivasa Rao Pedapati; Hamdan Ya; Othman B. Mamat; William Pao King Soon. American Institute of Physics Inc., 2018. 040001 (AIP Conference Proceedings; Vol. 2035).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - CFD based investigation on effect of classifier blade length to coal particle distribution in coal pulverizer

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AU - Ismail, Firas Basim

AU - Hasini, Hasril

AU - Nasif, M. S.

PY - 2018/11/13

Y1 - 2018/11/13

N2 - Classification of fine coal dust is very important in thermal power plant, in order to ensure complete combustion of fuel in the burner. Fine coal particulate is able to provide higher combustion efficiency as compared to coarse coal particulate, due to high surface area. In this investigation, modification of coal pulverizer classifier with new geometries were proposed, by extending the classifier blade into four different lengths: 4.36", 8.36", 12.36" and 16.36". Computational fluid dynamics (CFD) modelling was used to investigate the effects of classifier blade length to coal particles size distribution at outlet. CFD simulation of coal classifier model based on original design was initially done and validated by plant data. Next, four different blade length at a common fixed angle of 40°were tested, and the effects to resulting coal fineness were recorded. The simulation studies showed that the optimum blade length was found to be 12.36". The simulated classifier is able to achieve 71.5% of particles passing 75 μm sieve, with 57% classifier efficiency. A coal fineness improvement of 11% is achieved by the new design as compared to original design of the classifier model.

AB - Classification of fine coal dust is very important in thermal power plant, in order to ensure complete combustion of fuel in the burner. Fine coal particulate is able to provide higher combustion efficiency as compared to coarse coal particulate, due to high surface area. In this investigation, modification of coal pulverizer classifier with new geometries were proposed, by extending the classifier blade into four different lengths: 4.36", 8.36", 12.36" and 16.36". Computational fluid dynamics (CFD) modelling was used to investigate the effects of classifier blade length to coal particles size distribution at outlet. CFD simulation of coal classifier model based on original design was initially done and validated by plant data. Next, four different blade length at a common fixed angle of 40°were tested, and the effects to resulting coal fineness were recorded. The simulation studies showed that the optimum blade length was found to be 12.36". The simulated classifier is able to achieve 71.5% of particles passing 75 μm sieve, with 57% classifier efficiency. A coal fineness improvement of 11% is achieved by the new design as compared to original design of the classifier model.

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BT - 6th International Conference on Production, Energy and Reliability 2018

A2 - Nasif, Mohammad Shakir

A2 - Sulaiman, Shaharin Anwar B.

A2 - Pedapati, Srinivasa Rao

A2 - Ya, Hamdan

A2 - Mamat, Othman B.

A2 - Soon, William Pao King

PB - American Institute of Physics Inc.

ER -

Why ESK, Ismail FB, Hasini H, Nasif MS. CFD based investigation on effect of classifier blade length to coal particle distribution in coal pulverizer. In Nasif MS, Sulaiman SAB, Pedapati SR, Ya H, Mamat OB, Soon WPK, editors, 6th International Conference on Production, Energy and Reliability 2018: World Engineering Science and Technology Congress, ESTCON 2018. American Institute of Physics Inc. 2018. 040001. (AIP Conference Proceedings). https://doi.org/10.1063/1.5075565