Performance Test and Structure Optimization of a Marine Diesel Particulate Filter

Zhiyuan Yang, Haowen Chen, Changxiong Li, Hao Guo () and Qinming Tan
Additional contact information
Zhiyuan Yang: College of Merchant Marine, Shanghai Maritime University, Shanghai 201306, China
Haowen Chen: College of Merchant Marine, Shanghai Maritime University, Shanghai 201306, China
Changxiong Li: College of Merchant Marine, Shanghai Maritime University, Shanghai 201306, China
Hao Guo: College of Merchant Marine, Shanghai Maritime University, Shanghai 201306, China
Qinming Tan: College of Merchant Marine, Shanghai Maritime University, Shanghai 201306, China

Energies, 2023, vol. 16, issue 11, 1-18

Abstract: Particulate matter (PM) is a major pollutant in the exhaust of marine diesel engines, which seriously endangers human health and the atmospheric environment, and how to reduce particulate matter emissions from marine engines has become a key research direction in the field of environmental protection and diesel engines. In this study, we analyzed the components and sources of PM from marine engines and conducted tests on the performance of Wärtsilä 20DF Diesel Particulate Filter (DPF) catalysts to verify the capture efficiency, gaseous pollutant removal rate, regeneration effect and the relationship between carbon loading and pressure loss of DPF catalysts in the context of Tier III emission regulations. The results showed that PM emissions of 20DF in diesel mode after adding the DPF system meet the requirements of the regulatory limit, but the pressure drop of the engine increases after adding the DPF system. Therefore, numerical simulation was used to optimize the DPF structure by evaluating the system velocity field, flow field distribution uniformity and system pressure drop to improve the pressure drop.

Keywords: marine diesel engine; particle capture; low-pressure loss; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/11/4336/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/11/4336/ (text/html)

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:gam:jeners:v:16:y:2023:i:11:p:4336-:d:1156085

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().