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Performance Test and Structure Optimization of a Marine Diesel Particulate Filter

Author

Listed:
  • 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)

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.

Suggested Citation

  • Zhiyuan Yang & Haowen Chen & Changxiong Li & Hao Guo & Qinming Tan, 2023. "Performance Test and Structure Optimization of a Marine Diesel Particulate Filter," Energies, MDPI, vol. 16(11), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4336-:d:1156085
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    References listed on IDEAS

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    1. Omidvarborna, Hamid & Kumar, Ashok & Kim, Dong-Shik, 2015. "Recent studies on soot modeling for diesel combustion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 635-647.
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