Numerical modelling of ESP for design optimization

Baoyu Guo; Aibing Yu; Jun Guo

doi:10.1016/j.proeng.2015.01.268

Numerical modelling of ESP for design optimization

Baoyu Guo, Aibing Yu, Jun Guo

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

21 Citations (Scopus)

Abstract

Electrostatic precipitators (ESP) are widely used for collection of particulate matters. In the present paper, a Computational Fluid Dynamics (CFD) model, based on Eulerian-Lagrangian framework, is used to simulate the gas-particle flow under electric field. A typical two-stage ESP is chosen as a case study and its collection performance is assessed under a series of modified geometric conditions, including inlet pipework, perforated plate, addition of flow baffles, and spatial extent of electric field. The results show that the collection efficiency for PM2.5 can be increased by 20% after optimization.

Original language	English
Title of host publication	New Paradigm of Particle Science and Technology Proceedings of The 7th World Congress on Particle Technology
Editors	Wei Ge, Yongsheng Han, Junwu Wang, Limin Wang, Xinhua Liu, Jiamao Zhou, Jinghai Li
Place of Publication	Amsterdam Netherlands
Publisher	Elsevier
Pages	1366-1372
Number of pages	7
DOIs	https://doi.org/10.1016/j.proeng.2015.01.268
Publication status	Published - 2015
Externally published	Yes
Event	World Congress on Particle Technology (WCPT) 2014 - Beijing, China Duration: 19 May 2014 → 22 May 2014 Conference number: 7th

Publication series

Name	Procedia Engineering
Publisher	Elsevier
Volume	102
ISSN (Electronic)	1877-7058

Conference

Conference	World Congress on Particle Technology (WCPT) 2014
Abbreviated title	WCPT 2014
Country	China
City	Beijing
Period	19/05/14 → 22/05/14

Keywords

Electrostatic Precipitator (ESP)
Numerical Modeling
Particle Flow

Access to Document

10.1016/j.proeng.2015.01.268

225690136-oaFinal published version, 878 KB

Link to publication in Scopus

Cite this

Guo, B., Yu, A., & Guo, J. (2015). Numerical modelling of ESP for design optimization. In W. Ge, Y. Han, J. Wang, L. Wang, X. Liu, J. Zhou, & J. Li (Eds.), New Paradigm of Particle Science and Technology Proceedings of The 7th World Congress on Particle Technology (pp. 1366-1372). (Procedia Engineering; Vol. 102). Elsevier. https://doi.org/10.1016/j.proeng.2015.01.268

Guo, Baoyu ; Yu, Aibing ; Guo, Jun. / Numerical modelling of ESP for design optimization. New Paradigm of Particle Science and Technology Proceedings of The 7th World Congress on Particle Technology. editor / Wei Ge ; Yongsheng Han ; Junwu Wang ; Limin Wang ; Xinhua Liu ; Jiamao Zhou ; Jinghai Li. Amsterdam Netherlands : Elsevier, 2015. pp. 1366-1372 (Procedia Engineering).

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title = "Numerical modelling of ESP for design optimization",

abstract = "Electrostatic precipitators (ESP) are widely used for collection of particulate matters. In the present paper, a Computational Fluid Dynamics (CFD) model, based on Eulerian-Lagrangian framework, is used to simulate the gas-particle flow under electric field. A typical two-stage ESP is chosen as a case study and its collection performance is assessed under a series of modified geometric conditions, including inlet pipework, perforated plate, addition of flow baffles, and spatial extent of electric field. The results show that the collection efficiency for PM2.5 can be increased by 20% after optimization.",

keywords = "Electrostatic Precipitator (ESP), Numerical Modeling, Particle Flow",

author = "Baoyu Guo and Aibing Yu and Jun Guo",

year = "2015",

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booktitle = "New Paradigm of Particle Science and Technology Proceedings of The 7th World Congress on Particle Technology",

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Guo, B, Yu, A & Guo, J 2015, Numerical modelling of ESP for design optimization. in W Ge, Y Han, J Wang, L Wang, X Liu, J Zhou & J Li (eds), New Paradigm of Particle Science and Technology Proceedings of The 7th World Congress on Particle Technology. Procedia Engineering, vol. 102, Elsevier, Amsterdam Netherlands, pp. 1366-1372, World Congress on Particle Technology (WCPT) 2014, Beijing, China, 19/05/14. https://doi.org/10.1016/j.proeng.2015.01.268

Numerical modelling of ESP for design optimization. / Guo, Baoyu; Yu, Aibing; Guo, Jun.

New Paradigm of Particle Science and Technology Proceedings of The 7th World Congress on Particle Technology. ed. / Wei Ge; Yongsheng Han; Junwu Wang; Limin Wang; Xinhua Liu; Jiamao Zhou; Jinghai Li. Amsterdam Netherlands : Elsevier, 2015. p. 1366-1372 (Procedia Engineering; Vol. 102).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

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T1 - Numerical modelling of ESP for design optimization

AU - Guo, Baoyu

AU - Yu, Aibing

AU - Guo, Jun

N1 - Conference code: 7th

PY - 2015

Y1 - 2015

N2 - Electrostatic precipitators (ESP) are widely used for collection of particulate matters. In the present paper, a Computational Fluid Dynamics (CFD) model, based on Eulerian-Lagrangian framework, is used to simulate the gas-particle flow under electric field. A typical two-stage ESP is chosen as a case study and its collection performance is assessed under a series of modified geometric conditions, including inlet pipework, perforated plate, addition of flow baffles, and spatial extent of electric field. The results show that the collection efficiency for PM2.5 can be increased by 20% after optimization.

AB - Electrostatic precipitators (ESP) are widely used for collection of particulate matters. In the present paper, a Computational Fluid Dynamics (CFD) model, based on Eulerian-Lagrangian framework, is used to simulate the gas-particle flow under electric field. A typical two-stage ESP is chosen as a case study and its collection performance is assessed under a series of modified geometric conditions, including inlet pipework, perforated plate, addition of flow baffles, and spatial extent of electric field. The results show that the collection efficiency for PM2.5 can be increased by 20% after optimization.

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