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Fine particulate emission control by optimizing process parameters of an electrostatic precipitator

Author: Shah Haque; Mohammad Rasul; Mohammad Masud Kamal Khan; Central Queensland University. Institute for Resource Industries and Sustainability (IRIS); Central Queensland University. Process Engineering and Light Metals.
Publisher: Cambridge, UK : WSEAS Press, 2010.
Edition/Format:   Downloadable article : English
Publication:Recent advances in energy and environment : Proceedings of the 5th IASME / WSEAS International conference on energy & enviroment (EE '10), University of Cambridge, U.K., February 23-25, 2010 / Marc A. Rosen, Roy Perryman, Stephen Dodds, Francesco Muzi, Wu Yuji, Zaneta Polkowska, Maria Jelenska, Mieczyslaw Sobik (eds). ACQUIRE [electronic resource] : Central Queensland University Institutional Repository. p. 223-228
Summary:
This paper presents a numerical model of a wire-plate electrostatic precipitator (ESP) for analysing its fine particulate collection behaviour. Computational fluid dynamics (CFD) code FLUENT is used to solve the two-dimensional NavierStokes equations for the gas flow and the realizable k-Sf turbulence model for the turbulence. The effect of electric field has been captured by adding a source term in the momentum  Read more...
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Genre/Form: Conference Paper
Material Type: Internet resource
Document Type: Internet Resource, Article
All Authors / Contributors: Shah Haque; Mohammad Rasul; Mohammad Masud Kamal Khan; Central Queensland University. Institute for Resource Industries and Sustainability (IRIS); Central Queensland University. Process Engineering and Light Metals.
ISBN: 9789604741595
ISSN:1790-5095
OCLC Number: 787489939
Language Note: En-aus.
Description: 6 pages
Responsibility: S.M.E. Haque, M.G. Rasul [and] M.M.K. Khan.

Abstract:

This paper presents a numerical model of a wire-plate electrostatic precipitator (ESP) for analysing its fine particulate collection behaviour. Computational fluid dynamics (CFD) code FLUENT is used to solve the two-dimensional NavierStokes equations for the gas flow and the realizable k-Sf turbulence model for the turbulence. The effect of electric field has been captured by adding a source term in the momentum equation. This additional source term is obtained by solving a coupled system of the electric field and charge transport equations. The particle phase is simulated by using Discrete Phase Model (DPM). The results of the simulation revealed that the particle collection and its movement depend not only on the size of the particle but also on the velocity of the gas flow and the electric potential applied at the discharge electrodes.

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