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Size-resolved simulation of particulate matters and CO(2) concentration in passenger vehicle cabins
The main aim of this study is to develop a mathematical size-dependent vehicle cabin model for particulate matter concentration including PM(2.5) (particles of aerodynamic diameter less than 2.5 μm) and UFPs (ultrafine particles of aerodynamic diameter less than 100 nm), as well as CO(2) concentrati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209366/ https://www.ncbi.nlm.nih.gov/pubmed/35146602 http://dx.doi.org/10.1007/s11356-022-19078-1 |
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author | Wei, Dixin Nielsen, Filip Ekberg, Lars Dalenbäck, Jan-Olof |
author_facet | Wei, Dixin Nielsen, Filip Ekberg, Lars Dalenbäck, Jan-Olof |
author_sort | Wei, Dixin |
collection | PubMed |
description | The main aim of this study is to develop a mathematical size-dependent vehicle cabin model for particulate matter concentration including PM(2.5) (particles of aerodynamic diameter less than 2.5 μm) and UFPs (ultrafine particles of aerodynamic diameter less than 100 nm), as well as CO(2) concentration. The ventilation airflow rate and cabin volume parameters are defined from a previously developed vehicle model for climate system design. The model simulates different filter statuses, application of pre-ionization, different airflow rates and recirculation degrees. Both particle mass and count concentration within 10–2530 nm are simulated. Parameters in the model are defined from either available component test data (for example filter efficiencies) or assumptions from corresponding studies (for example particle infiltration and deposition rates). To validate the model, road measurements of particle and CO(2) concentrations outside two vehicles were used as model inputs. The simulated inside PM(2.5), UFP and CO(2) concentration were compared with the inside measurements. Generally, the simulation agrees well with measured data (Person’s r 0.89–0.92), and the simulation of aged filter with ionization is showing higher deviation than others. The simulation using medium airflows agrees better than the simulation using other airflows, both lower and higher. The reason for this may be that the filter efficiency data used in the model were obtained at airflows close to the medium airflow. When all size bins are compared, the sizes of 100–300 nm were slightly overestimated. The results indicated that among others, expanded filter efficiency data as a function of filter ageing and airflow rate would possibly enhance the simulation accuracy. An initial application sample study on recirculation degrees presents the model’s possible application in developing advanced climate control strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-022-19078-1. |
format | Online Article Text |
id | pubmed-9209366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-92093662022-06-22 Size-resolved simulation of particulate matters and CO(2) concentration in passenger vehicle cabins Wei, Dixin Nielsen, Filip Ekberg, Lars Dalenbäck, Jan-Olof Environ Sci Pollut Res Int Research Article The main aim of this study is to develop a mathematical size-dependent vehicle cabin model for particulate matter concentration including PM(2.5) (particles of aerodynamic diameter less than 2.5 μm) and UFPs (ultrafine particles of aerodynamic diameter less than 100 nm), as well as CO(2) concentration. The ventilation airflow rate and cabin volume parameters are defined from a previously developed vehicle model for climate system design. The model simulates different filter statuses, application of pre-ionization, different airflow rates and recirculation degrees. Both particle mass and count concentration within 10–2530 nm are simulated. Parameters in the model are defined from either available component test data (for example filter efficiencies) or assumptions from corresponding studies (for example particle infiltration and deposition rates). To validate the model, road measurements of particle and CO(2) concentrations outside two vehicles were used as model inputs. The simulated inside PM(2.5), UFP and CO(2) concentration were compared with the inside measurements. Generally, the simulation agrees well with measured data (Person’s r 0.89–0.92), and the simulation of aged filter with ionization is showing higher deviation than others. The simulation using medium airflows agrees better than the simulation using other airflows, both lower and higher. The reason for this may be that the filter efficiency data used in the model were obtained at airflows close to the medium airflow. When all size bins are compared, the sizes of 100–300 nm were slightly overestimated. The results indicated that among others, expanded filter efficiency data as a function of filter ageing and airflow rate would possibly enhance the simulation accuracy. An initial application sample study on recirculation degrees presents the model’s possible application in developing advanced climate control strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-022-19078-1. Springer Berlin Heidelberg 2022-02-10 2022 /pmc/articles/PMC9209366/ /pubmed/35146602 http://dx.doi.org/10.1007/s11356-022-19078-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Wei, Dixin Nielsen, Filip Ekberg, Lars Dalenbäck, Jan-Olof Size-resolved simulation of particulate matters and CO(2) concentration in passenger vehicle cabins |
title | Size-resolved simulation of particulate matters and CO(2) concentration in passenger vehicle cabins |
title_full | Size-resolved simulation of particulate matters and CO(2) concentration in passenger vehicle cabins |
title_fullStr | Size-resolved simulation of particulate matters and CO(2) concentration in passenger vehicle cabins |
title_full_unstemmed | Size-resolved simulation of particulate matters and CO(2) concentration in passenger vehicle cabins |
title_short | Size-resolved simulation of particulate matters and CO(2) concentration in passenger vehicle cabins |
title_sort | size-resolved simulation of particulate matters and co(2) concentration in passenger vehicle cabins |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209366/ https://www.ncbi.nlm.nih.gov/pubmed/35146602 http://dx.doi.org/10.1007/s11356-022-19078-1 |
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