We have used two methods for measuring emission factors (EFs) in real driving conditions on five cars in a controlled environment: the stationary method, where the investigated vehicle drives by the stationary measurement platform and the composition of the plume is measured, and the chasing method, where a mobile measurement platform drives behind the investigated vehicle. We measured EFs of black carbon and particle number concentration. The stationary method was tested for repeatability at different speeds and on a slope. The chasing method was tested on a test track and compared to the portable emission measurement system. We further developed the data processing algorithm for both methods, trying to improve consistency, determine the plume duration, limit the background influence and facilitate automatic processing of measurements. The comparison of emission factors determined by the two methods showed good agreement. EFs of a single car measured with either method have a specific distribution with a characteristic value and a long tail of super emissions. Measuring EFs at different speeds or slopes did not significantly influence the EFs of different cars; hence, we propose a new description of vehicle emissions that is not related to kinematic or engine parameters, and we rather describe the vehicle EF with a characteristic value and a super emission tail.

Ježek, I., Drinovec, L., Ferrero, L., Carriero, M., Močnik, G. (2015). Determination of car on-road black carbon and particle number emission factors and comparison between mobile and stationary measurements. ATMOSPHERIC MEASUREMENT TECHNIQUES, 8(1), 43-55 [10.5194/amt-8-43-2015].

Determination of car on-road black carbon and particle number emission factors and comparison between mobile and stationary measurements

FERRERO, LUCA;
2015

Abstract

We have used two methods for measuring emission factors (EFs) in real driving conditions on five cars in a controlled environment: the stationary method, where the investigated vehicle drives by the stationary measurement platform and the composition of the plume is measured, and the chasing method, where a mobile measurement platform drives behind the investigated vehicle. We measured EFs of black carbon and particle number concentration. The stationary method was tested for repeatability at different speeds and on a slope. The chasing method was tested on a test track and compared to the portable emission measurement system. We further developed the data processing algorithm for both methods, trying to improve consistency, determine the plume duration, limit the background influence and facilitate automatic processing of measurements. The comparison of emission factors determined by the two methods showed good agreement. EFs of a single car measured with either method have a specific distribution with a characteristic value and a long tail of super emissions. Measuring EFs at different speeds or slopes did not significantly influence the EFs of different cars; hence, we propose a new description of vehicle emissions that is not related to kinematic or engine parameters, and we rather describe the vehicle EF with a characteristic value and a super emission tail.
Articolo in rivista - Articolo scientifico
Atmospheric Science
English
43
55
13
Ježek, I., Drinovec, L., Ferrero, L., Carriero, M., Močnik, G. (2015). Determination of car on-road black carbon and particle number emission factors and comparison between mobile and stationary measurements. ATMOSPHERIC MEASUREMENT TECHNIQUES, 8(1), 43-55 [10.5194/amt-8-43-2015].
Ježek, I; Drinovec, L; Ferrero, L; Carriero, M; Močnik, G
File in questo prodotto:
File Dimensione Formato  
AMT-2015-Jezek-On road BC and particle emission.pdf

accesso aperto

Descrizione: Articolo principale
Dimensione 322.31 kB
Formato Adobe PDF
322.31 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/135149
Citazioni
  • Scopus 34
  • ???jsp.display-item.citation.isi??? 31
Social impact