Methodology for Virtual Prediction of Vehicle-Related Particle Emissions and Their Influence on Ambient PM<sub>10</sub> in an Urban Environment
As a result of rising environmental awareness, vehicle-related emissions such as particulate matter are subject to increasing criticism. The air pollution in urban areas is especially linked to health risks. The connection between vehicle-related particle emissions and ambient air quality is highly...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/13/11/1924 |
| _version_ | 1827644988560769024 |
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| author | Toni Feißel Florian Büchner Miles Kunze Jonas Rost Valentin Ivanov Klaus Augsburg David Hesse Sebastian Gramstat |
| author_facet | Toni Feißel Florian Büchner Miles Kunze Jonas Rost Valentin Ivanov Klaus Augsburg David Hesse Sebastian Gramstat |
| author_sort | Toni Feißel |
| collection | DOAJ |
| description | As a result of rising environmental awareness, vehicle-related emissions such as particulate matter are subject to increasing criticism. The air pollution in urban areas is especially linked to health risks. The connection between vehicle-related particle emissions and ambient air quality is highly complex. Therefore, a methodology is presented to evaluate the influence of different vehicle-related sources such as exhaust particles, brake wear and tire and road wear particles (TRWP) on ambient particulate matter (PM). In a first step, particle measurements were conducted based on field trials with an instrumented vehicle to determine the main influence parameters for each emission source. Afterwards, a simplified approach for a qualitative prediction of vehicle-related particle emissions is derived. In a next step, a virtual inner-city scenario is set up. This includes a vehicle simulation environment for predicting the local emission hot spots as well as a computational fluid dynamics model (CFD) to account for particle dispersion in the environment. This methodology allows for the investigation of emissions pathways from the point of generation up to the point of their emission potential. |
| first_indexed | 2024-03-09T18:28:13Z |
| format | Article |
| id | doaj.art-4e11fc31c38f4f319807c32b111db8ee |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T18:28:13Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-4e11fc31c38f4f319807c32b111db8ee2023-11-24T07:43:01ZengMDPI AGAtmosphere2073-44332022-11-011311192410.3390/atmos13111924Methodology for Virtual Prediction of Vehicle-Related Particle Emissions and Their Influence on Ambient PM<sub>10</sub> in an Urban EnvironmentToni Feißel0Florian Büchner1Miles Kunze2Jonas Rost3Valentin Ivanov4Klaus Augsburg5David Hesse6Sebastian Gramstat7Department of Automotive Engineering, Technical University Ilmenau, Ehrenbergstraße 15, 98693 Ilmenau, GermanyDepartment of Automotive Engineering, Technical University Ilmenau, Ehrenbergstraße 15, 98693 Ilmenau, GermanyDepartment of Automotive Engineering, Technical University Ilmenau, Ehrenbergstraße 15, 98693 Ilmenau, GermanyDepartment of Automotive Engineering, Technical University Ilmenau, Ehrenbergstraße 15, 98693 Ilmenau, GermanyDepartment of Automotive Engineering, Technical University Ilmenau, Ehrenbergstraße 15, 98693 Ilmenau, GermanyDepartment of Automotive Engineering, Technical University Ilmenau, Ehrenbergstraße 15, 98693 Ilmenau, GermanyIAV GmbH, Rockwellstraße 3, 38518 Gifhorn, GermanyAudi AG, Auto-Union-Str. 1, 85057 Ingolstadt, GermanyAs a result of rising environmental awareness, vehicle-related emissions such as particulate matter are subject to increasing criticism. The air pollution in urban areas is especially linked to health risks. The connection between vehicle-related particle emissions and ambient air quality is highly complex. Therefore, a methodology is presented to evaluate the influence of different vehicle-related sources such as exhaust particles, brake wear and tire and road wear particles (TRWP) on ambient particulate matter (PM). In a first step, particle measurements were conducted based on field trials with an instrumented vehicle to determine the main influence parameters for each emission source. Afterwards, a simplified approach for a qualitative prediction of vehicle-related particle emissions is derived. In a next step, a virtual inner-city scenario is set up. This includes a vehicle simulation environment for predicting the local emission hot spots as well as a computational fluid dynamics model (CFD) to account for particle dispersion in the environment. This methodology allows for the investigation of emissions pathways from the point of generation up to the point of their emission potential.https://www.mdpi.com/2073-4433/13/11/1924particle emissionsparticulate matternon exhaust emissionsbrake wear emissionsexhaust emissionstire particle emissions |
| spellingShingle | Toni Feißel Florian Büchner Miles Kunze Jonas Rost Valentin Ivanov Klaus Augsburg David Hesse Sebastian Gramstat Methodology for Virtual Prediction of Vehicle-Related Particle Emissions and Their Influence on Ambient PM<sub>10</sub> in an Urban Environment Atmosphere particle emissions particulate matter non exhaust emissions brake wear emissions exhaust emissions tire particle emissions |
| title | Methodology for Virtual Prediction of Vehicle-Related Particle Emissions and Their Influence on Ambient PM<sub>10</sub> in an Urban Environment |
| title_full | Methodology for Virtual Prediction of Vehicle-Related Particle Emissions and Their Influence on Ambient PM<sub>10</sub> in an Urban Environment |
| title_fullStr | Methodology for Virtual Prediction of Vehicle-Related Particle Emissions and Their Influence on Ambient PM<sub>10</sub> in an Urban Environment |
| title_full_unstemmed | Methodology for Virtual Prediction of Vehicle-Related Particle Emissions and Their Influence on Ambient PM<sub>10</sub> in an Urban Environment |
| title_short | Methodology for Virtual Prediction of Vehicle-Related Particle Emissions and Their Influence on Ambient PM<sub>10</sub> in an Urban Environment |
| title_sort | methodology for virtual prediction of vehicle related particle emissions and their influence on ambient pm sub 10 sub in an urban environment |
| topic | particle emissions particulate matter non exhaust emissions brake wear emissions exhaust emissions tire particle emissions |
| url | https://www.mdpi.com/2073-4433/13/11/1924 |
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