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Modelling treatment of deposits in particulate filters for internal combustion emissions

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Lao, CT 
Akroyd, J 


Internal combustion in transport vehicles is still one of the biggest contributors to ultrafine particle emissions which have been proven to have many adverse effects on human health and the environment in general. To mitigate this problem a variety of particle filters have been developed and along with these filters a whole range of models aiming to optimise filter performance. This paper reviews a wide variety of particulate filter models for vehicular emission control and presents the volume of work in a unified and consistent notation. Particle filtration models are examined with respect to their filtration efficiency, the way they handle particle deposits within the filter wall, the formation of filter cake and the role of catalytic conversion and the effect of gaseous emission. Further, the impact of the chemical and physical properties of particulate deposits on the filter regeneration process is analysed and reaction pathways and rates are presented. In addition the accumulation of ash deposits and its impact on the filter behaviour is critically reviewed. Finally, various measures are identified that can potentially improve the current particle filter models.



Emission, Ash, Computational model, Diesel particulate filter (DPF), Gasoline particulate filter (GPF)

Journal Title

Progress in Energy and Combustion Science

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Elsevier BV
Engineering and Physical Sciences Research Council (1622599)
This research was supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 814492. This work was supported by the UK Engineering and Physical Sciences Research Council (EPSRC) grant 1622599. The authors would like to thank Royal Dutch Shell for their support. MK gratefully acknowledges the support of the Alexander von Humboldt Foundation.