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Title: | Performance trends in wall-flow diesel particulate filters: Comparative analysis of their filtration efficiency and pressure drop |
Authors: | Orihuela, M. P.; Chacartegui, Ricardo; Gómez-Martín, Aurora; Ramírez-Rico, J.; Becerra Villanueva, J.A. |
Keywords: | Particulate filter Internal combustion engines Particulate emissions Filtration efficiency Pressure drop |
Issue Date: | 2020 |
Publisher: | Elsevier BV |
Citation: | Journal of Cleaner Production 260 (2020) |
Abstract: | Soot and particulate emissions from the transport sector are a major concern worldwide, given their harmful effects on public health and the environment. On-road vehicles are the main contributing source to this kind of pollution. They are strictly regulated in many countries, with limitations on the number and concentration of released particles, and they must be equipped with particle abatement systems. Wall-flow particulate filters are the most popular and effective devices to reduce particulate emissions from diesel and gasoline vehicles. Diesel Particulate Filters (DPFs) have been a recurrent research topic since the last century. There are different research studies analysing different aspects of these systems, at different levels, using different methodologies and different approaches. Their results are not always comparable. This work analyses the latest advances and trends in this technology by comparing two relevant performance parameters: their filtration efficiency and pressure drop. The findings of this study suggest that, in order to be competitive, upcoming DPFs should have filtration efficiencies above 80%, and pressure drops below 10 kPa, for space velocities of 1.5·10 h or more at the clean state. They should reach ∼100% efficiency after a short operation period, before the soot load reaches 0.2 g/L. Later, they should keep a low pressure drop for a longer time, with a reference of no more than 13 kPa for 6 g/L of soot load. Based on this analysis, this work proposes some test criteria and suggestions for the main parameters. |
Publisher version (URL): | http://dx.doi.org/10.1016/j.jclepro.2020.120863 |
URI: | http://hdl.handle.net/10261/217674 |
DOI: | http://dx.doi.org/10.1016/j.jclepro.2020.120863 |
Identifiers: | doi: 10.1016/j.jclepro.2020.120863 issn: 0959-6526 |
Appears in Collections: | (ICMS) Artículos |
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