Study on the Flow Uniformity and Characteristics of Exhaust gas in Diesel Particulate Filter/Diesel Oxidation Catalyst of Ship Diesel Reduction System by Computational Fluid Dynamics 


Vol. 25,  No. 2, pp. 153-160, Jun.  2019
10.7464/ksct.2019.25.2.151


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  Abstract

As air pollution becomes more serious due to the increased number of diesel vessel operations, ship regulations on harmful emissions strengthen. Therefore, the development of a diesel exhaust after-treatment system for ships is required, and the higher the flow uniformity of the exhaust treatment system, the higher the treatment efficiency. With the computer software ANSYS Fluent, pressure drop and flow uniformity were used in this study to simulate flow rate with and without a baffle in both a Diesel Oxidation Catalyst (DOC) and Diesel Particulate Filter (DPF) system. The system pressure drop was found to be 38 to 40 mbar in the existing system condition, and the flow uniformity was approximately 84 to 92% at the inlet and outlet of the DOC. When the baffle was installed inside the system, the pressure increased and the flow uniformity was lowered due to an increase in flow rate. When the exhaust gas flow was reduced by 50% from 7,548 kg h-1 to 3,772 kg h-1, the flow uniformity at the inlet and outlet of the DOC increased by approximately 1 to 3% due to the low flow rate. In the case of DPF, the flow uniformity of exhaust gas was 98 to 99% because the uneven flow proceeded after uniformly flowing from the DOC.

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  Cite this article

[IEEE Style]

K. YJ, H. DB, B. YS, "Study on the Flow Uniformity and Characteristics of Exhaust gas in Diesel Particulate Filter/Diesel Oxidation Catalyst of Ship Diesel Reduction System by Computational Fluid Dynamics," Clean Technology, vol. 25, no. 2, pp. 153-160, 2019. DOI: 10.7464/ksct.2019.25.2.151.

[ACM Style]

Kim YJ, Han DB, and Baek YS. 2019. Study on the Flow Uniformity and Characteristics of Exhaust gas in Diesel Particulate Filter/Diesel Oxidation Catalyst of Ship Diesel Reduction System by Computational Fluid Dynamics. Clean Technology, 25, 2, (2019), 153-160. DOI: 10.7464/ksct.2019.25.2.151.

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pISSN : 1598 - 9712
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