Corona discharge simulation in wire-duct electrostatic precipitator

Anagnostopoulos, J; Bergeles, G

dc.contributor.author	Anagnostopoulos, J	en
dc.contributor.author	Bergeles, G	en
dc.date.accessioned	2014-03-01T01:17:40Z
dc.date.available	2014-03-01T01:17:40Z
dc.date.issued	2002	en
dc.identifier.issn	0304-3886	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14611
dc.subject	Corona discharge	en
dc.subject	Electrostatic precipitator	en
dc.subject	Finite difference calculation	en
dc.subject	Orthogonal curvilinear grid	en
dc.subject	Wire-duct system	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Computer simulation	en
dc.subject.other	Electric fields	en
dc.subject.other	Finite difference method	en
dc.subject.other	Ionization	en
dc.subject.other	Numerical methods	en
dc.subject.other	Charge density distribution	en
dc.subject.other	Electrostatic separators	en
dc.subject.other	dust	en
dc.subject.other	electric field	en
dc.subject.other	electrostatic precipitator	en
dc.subject.other	finite difference technique	en
dc.subject.other	mathematical modeling	en
dc.subject.other	wire	en
dc.title	Corona discharge simulation in wire-duct electrostatic precipitator	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0304-3886(01)00172-3	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0304-3886(01)00172-3	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	This paper presents a numerical simulation methodology developed for the calculation of the electric field in wire-duct precipitation systems using finite differencing in orthogonal curvilinear coordinates to solve the potential equation. Charge density distribution is obtained by the method of characteristics or using a prediction-correction scheme. A new mesh-generation technique produces body-fitted orthogonal grids with lines similar to the field equipotential and characteristic curves, thus the requirements in grid nodes are kept low and the implementation of the method of characteristics becomes a very easy and fast task. Combining these advantages with a conjugate gradient solver the new methodology achieves high computational efficiency. Details for the convergence history, and the computer time requirements are given to allow comparison with other models. The numerical results are compared with several sets of experimental data from the literature. and their sensitivity to various model parameters (e.g. the corona onset gradient, the ionization zone thickness, and the criterion of convergence) is investigated. (C) 2002 Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Journal of Electrostatics	en
dc.identifier.doi	10.1016/S0304-3886(01)00172-3	en
dc.identifier.isi	ISI:000173303000001	en
dc.identifier.volume	54	en
dc.identifier.issue	2	en
dc.identifier.spage	129	en
dc.identifier.epage	147	en