Optimisation and validation of Plume Chasing for robust and automated NOx and particle vehicle emission measurements
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F25%3A00385436" target="_blank" >RIV/68407700:21220/25:00385436 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.aeaoa.2025.100317" target="_blank" >https://doi.org/10.1016/j.aeaoa.2025.100317</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.aeaoa.2025.100317" target="_blank" >10.1016/j.aeaoa.2025.100317</a>
Alternative languages
Result language
angličtina
Original language name
Optimisation and validation of Plume Chasing for robust and automated NOx and particle vehicle emission measurements
Original language description
High-emitting vehicles comprise a small proportion (< 20 %) of the vehicle fleet, yet are responsible for the majority (> 50 %) of vehicle emissions. Plume Chasing is a reliable, high-precision measurement technique that derives emissions without interfering with the vehicle being tested. Its characteristics make it well suited for high emitter identification. In this study, the influence of several Plume Chasing measurement and data processing methods on the results of derived on-road NOx and particle fuel-specific emission factors are investigated. A range of vehicles, representative of a common vehicle fleet, were tested under different driving conditions on a test track. The derived results were evaluated against on-board SEMS (Smart Emission Measurement System) emission measurements. We found that one of the best performing Plume Chasing data processing methods is based on the use of a rolling minimum for background determination. The average absolute deviation of the determined NOx∕CO2 emission ratios from the reference was -0.2(46) ppm∕% for the heavy duty vehicle and 0.3(29) ppm∕% for the light duty vehicles tested. The methods were easy to automate and suitable for high emitter detection and quantification of emissions from two-wheeled vehicles. Inaccurate emission factors derived from Plume Chasing measurements occurred only in situations when emissions were significantly influenced by a strong plume from vehicles driving directly ahead of the vehicle of interest.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Atmospheric Environment: X
ISSN
2590-1621
e-ISSN
2590-1621
Volume of the periodical
25
Issue of the periodical within the volume
100317
Country of publishing house
GB - UNITED KINGDOM
Number of pages
23
Pages from-to
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UT code for WoS article
001424109100001
EID of the result in the Scopus database
2-s2.0-85216719777