Modeling the filtration performance of ceramic filters over transient cycles of natural gas and diesel engines
Yujun Wang,
Rajat Subhra Ghosh,
Jian Gong,
Astrid Nikodem,
Susanne Kutschi,
James Zokoe,
Eric Jian Xue,
Zhuqi Wang,
Takahiro Honda,
Alexander Wells,
Shahidur M. Rahman and
Michael J. Cunningham
Applied Energy, 2023, vol. 337, issue C, No S0306261923002593
Abstract:
Ceramic particulate filters have become indispensable components of internal combustion engine aftertreatment systems to meet the stringent PM and PN emission regulations. Accurate modeling and simulating of the filtration performance of ceramic filters under transient cycles have been proved to be quite challenging. In the present study, a new filtration model based on discrete pore size distribution was developed to predict both the clean and loaded states filtration performance. New correlations and equations have been derived to describe the filtration efficiency when polydisperse cells are loaded with soot in the transient cycles. Systematic experiments of both natural gas and diesel engines have been conducted with CPC and EEPS measurements. It is demonstrated that the simulated results with the new filtration model agree quite well with the filtration data at different loading conditions and engine operating cycles. This new dynamic filtration model incorporating flow, filtration, and catalytic reaction can provide high-fidelity guidance in practical filter design and development.
Keywords: Ceramic filter; Model; Discrete pore size distribution; Engine; Particulate number (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261923002593
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:337:y:2023:i:c:s0306261923002593
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2023.120895
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().