Electrostatic Lubricant Filter Design Study

Shabaz Khan; Nicholas Dyrstad-Cincotta; Junior Nasah; Ajit Bhat; James Rickson; Michael Mann

doi:10.1109/CEIDP55452.2022.9985356

Electrostatic Lubricant Filter Design Study

Shabaz Khan, Nicholas Dyrstad-Cincotta, Junior Nasah, Ajit Bhat, James Rickson, Michael Mann

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Oil cleaning is a time consuming and expensive task for power plant and wind turbine industry. Electrostatic Lubricant Filtration (ELF) is a lubricant cleaning system currently undergoing field demonstration testing on turbine oil at powerplants to alleviate contaminated oil concerns.This study presents the ELF technology field test experimental data compared with theoretical governing equations simulation data. From the comparison result it's found that simulation data highly matched with the field test data. The validation of theoretical governing equations with field data facilitates future development and optimization of the electrostatic lubrication filtration technology, with the potential of expanding application to other industries.

Original language	English
Title of host publication	CEIDP 2022 - 2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	95-98
Number of pages	4
ISBN (Electronic)	9781665467957
DOIs	https://doi.org/10.1109/CEIDP55452.2022.9985356
State	Published - 2022
Externally published	Yes
Event	2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2022 - Denver, United States Duration: Oct 30 2022 → Nov 2 2022

Publication series

Name	Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP
Volume	2022-November
ISSN (Print)	0084-9162

Conference

Conference	2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2022
Country/Territory	United States
City	Denver
Period	10/30/22 → 11/2/22

Keywords

Collection efficiency
Electrostatic Lubricant Filtration (ELF)
Filtration
Particle charge
Particle size

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CEIDP55452.2022.9985356

Cite this

Khan, S., Dyrstad-Cincotta, N., Nasah, J., Bhat, A., Rickson, J., & Mann, M. (2022). Electrostatic Lubricant Filter Design Study. In CEIDP 2022 - 2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena (pp. 95-98). (Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP; Vol. 2022-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEIDP55452.2022.9985356

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title = "Electrostatic Lubricant Filter Design Study",

abstract = "Oil cleaning is a time consuming and expensive task for power plant and wind turbine industry. Electrostatic Lubricant Filtration (ELF) is a lubricant cleaning system currently undergoing field demonstration testing on turbine oil at powerplants to alleviate contaminated oil concerns.This study presents the ELF technology field test experimental data compared with theoretical governing equations simulation data. From the comparison result it's found that simulation data highly matched with the field test data. The validation of theoretical governing equations with field data facilitates future development and optimization of the electrostatic lubrication filtration technology, with the potential of expanding application to other industries.",

keywords = "Collection efficiency, Electrostatic Lubricant Filtration (ELF), Filtration, Particle charge, Particle size",

author = "Shabaz Khan and Nicholas Dyrstad-Cincotta and Junior Nasah and Ajit Bhat and James Rickson and Michael Mann",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2022 ; Conference date: 30-10-2022 Through 02-11-2022",

year = "2022",

doi = "10.1109/CEIDP55452.2022.9985356",

language = "English",

series = "Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP",

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Khan, S, Dyrstad-Cincotta, N, Nasah, J, Bhat, A, Rickson, J & Mann, M 2022, Electrostatic Lubricant Filter Design Study. in CEIDP 2022 - 2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena. Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP, vol. 2022-November, Institute of Electrical and Electronics Engineers Inc., pp. 95-98, 2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2022, Denver, United States, 10/30/22. https://doi.org/10.1109/CEIDP55452.2022.9985356

Electrostatic Lubricant Filter Design Study. / Khan, Shabaz; Dyrstad-Cincotta, Nicholas; Nasah, Junior et al.
CEIDP 2022 - 2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena. Institute of Electrical and Electronics Engineers Inc., 2022. p. 95-98 (Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP; Vol. 2022-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Electrostatic Lubricant Filter Design Study

AU - Khan, Shabaz

AU - Dyrstad-Cincotta, Nicholas

AU - Nasah, Junior

AU - Bhat, Ajit

AU - Rickson, James

AU - Mann, Michael

PY - 2022

Y1 - 2022

N2 - Oil cleaning is a time consuming and expensive task for power plant and wind turbine industry. Electrostatic Lubricant Filtration (ELF) is a lubricant cleaning system currently undergoing field demonstration testing on turbine oil at powerplants to alleviate contaminated oil concerns.This study presents the ELF technology field test experimental data compared with theoretical governing equations simulation data. From the comparison result it's found that simulation data highly matched with the field test data. The validation of theoretical governing equations with field data facilitates future development and optimization of the electrostatic lubrication filtration technology, with the potential of expanding application to other industries.

AB - Oil cleaning is a time consuming and expensive task for power plant and wind turbine industry. Electrostatic Lubricant Filtration (ELF) is a lubricant cleaning system currently undergoing field demonstration testing on turbine oil at powerplants to alleviate contaminated oil concerns.This study presents the ELF technology field test experimental data compared with theoretical governing equations simulation data. From the comparison result it's found that simulation data highly matched with the field test data. The validation of theoretical governing equations with field data facilitates future development and optimization of the electrostatic lubrication filtration technology, with the potential of expanding application to other industries.

KW - Collection efficiency

KW - Electrostatic Lubricant Filtration (ELF)

KW - Filtration

KW - Particle charge

KW - Particle size

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U2 - 10.1109/CEIDP55452.2022.9985356

DO - 10.1109/CEIDP55452.2022.9985356

M3 - Conference contribution

AN - SCOPUS:85145882860

T3 - Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP

SP - 95

EP - 98

BT - CEIDP 2022 - 2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2022

Y2 - 30 October 2022 through 2 November 2022

ER -

Khan S, Dyrstad-Cincotta N, Nasah J, Bhat A, Rickson J, Mann M. Electrostatic Lubricant Filter Design Study. In CEIDP 2022 - 2022 IEEE Conference on Electrical Insulation and Dielectric Phenomena. Institute of Electrical and Electronics Engineers Inc. 2022. p. 95-98. (Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP). doi: 10.1109/CEIDP55452.2022.9985356

Electrostatic Lubricant Filter Design Study

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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