Characterizing real unit emissions for light duty goods vehicles

Joumard, Robert; Meynier, André; Vidon, Robert; Tassel, Patrick

doi:10.1016/j.atmosenv.2003.02.001

Cited by 25 publications

(9 citation statements)

References 3 publications

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“…Several works were conducted on light-duty vehicles (LDVs) to characterize their emissions and the influence of many parameters such as load rate and age. [35][36][37][38][39][40][41][42] Zallinger and Hausberger 43 studied the effect of the load on personal cars with a maximum loading of 450 kg for an engine capacity between 1.2 and 2.1 L for gasoline and diesel. The effect of load was highlighted only for the diesel vehicles and only for NO x and particles.…”

Section: Discussionmentioning

confidence: 99%

On-Board Emission Measurement of High-Loaded Light-Duty Vehicles in Algeria

Boughedaoui

Kerbachi

Joumard

2008

Journal of the Air & Waste Management Association

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A sample of eight private gasoline and diesel conventional light-duty vehicles (LDVs) in use with various ages, carrying a load of 460 kg, were tested on a representative trip in the traffic flow of the city of Blida to obtain emission factors representing the actual use conditions of Algerian LDVs. The gas sampling system (mini-constant volume sampling) as well as the analyzers are carried on-board the vehicle. Around 55 tests were conducted during 3 months covering more than 480 km under various real driving conditions. The mean speed downtown is about 16

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Section: Discussionmentioning

confidence: 99%

On-Board Emission Measurement of High-Loaded Light-Duty Vehicles in Algeria

Boughedaoui

Kerbachi

Joumard

2008

Journal of the Air & Waste Management Association

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“…1. In the pa per [18], by ana lys ing ex per i men tal data it is con cluded that ad di tional freight car ried by the ve hi cle in flu ences cer tain [17] spe cific fuel con sump tion in crease q (L/100 km). How ever, it should be pointed out that this increase was far from pro por tional to the ve hi cle gross weight in crease.…”

Section: Fleet's En Ergy Ef Fi Ciencymentioning

confidence: 99%

“…In the pa per [18], by ana lys ing ex per i men tal data it is con cluded that ad di tional freight car ried by the ve hi cle in flu ences cer tain [17] spe cific fuel con sump tion in crease q (L/100 km). The au thors of the pa per [18] come to the re sult that for vans (less than 3.5 tonnes of to tal per mis si ble weight) with the load fac tor of 30%, the in crease of the spe cific fuel con sump tion amounted be tween 10 and 20% re lated to the spe cific fuel con sump tion of un loaded (empty) ve hi cle. The au thors of the pa per [18] come to the re sult that for vans (less than 3.5 tonnes of to tal per mis si ble weight) with the load fac tor of 30%, the in crease of the spe cific fuel con sump tion amounted be tween 10 and 20% re lated to the spe cific fuel con sump tion of un loaded (empty) ve hi cle.…”

Section: Fleet's En Ergy Ef Fi Ciencymentioning

confidence: 99%

Energy efficiency as a criterion in the vehicle fleet management process

Vujanovic¹,

Mijailović²,

Momcilovic³

et al. 2010

Therm. sci.

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Fac ulty of Trans port and Traf fic En gi neer ing, Uni ver sity of Bel grade, Bel grade, Ser bia Orig i nal sci en tific pa per Trans port rep re sents an in dus try sec tor with in tense en ergy con sump tion, the road trans port sec tor within is the dom i nant subsector. The ob jec tive of the re search presented in this pa per is in de fin ing the ac tiv i ties which ap plied within road freight trans port com pa nies con trib ute to en hanc ing ve hi cles' en ergy ef fi ciency. Ve hi cle fleet op er a tion man age ment pro cess ef fects on fuel con sump tion de crease have been looked into. Op er a tion pa ram e ters that in flu ence ve hi cle fuel con sump tion were ana lysed. In this sense, a sur vey has been real ised in or der to eval u ate the vehi cle load fac tor im pact on the spe cific fuel con sump tion. Mea sures for en hanc ing ve hi cle's lo gis tics ef fi ciency have been de fined. As a tool for those mea sures' im plemen ta tion an al go rithm for ve hi cle fleet op er a tion man age ment was de vel oped which rep re sented a ba sis for a ded i cated soft ware pack age de vel op ment for ve hicle dis patch ing pro cess de ci sion sup port. A set of mea sures has been rec om mended and their ef fects in fuel sav ings were eval u ated. Vujanovi}, D., et al.: Energy Efficiency as a Criterion in the Vehicle Fleet .

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“…For example, Unal et al (2003) stated that ''the data required to accurately assess the emissions caused by traffic interruptions must be of sufficient temporal and spatial resolution to enable identification and evaluation of points of high emissions.'' At the moment, emissions measurements are mainly based on dynamometer testing--as exemplified by the work of Joumard et al (2003) and Soltic and Weilenmann (2003). However, those data are too aggregated to enable the analysis of emissions caused by traffic interruptions.…”

Section: Introduction and Research Objectivesmentioning

confidence: 99%

A Numerical Tool for Estimating Pollutant Emissions and Vehicles Performance in Traffic Interruptions on Urban Corridors

Coelho

Farias²,

Rouphail

2009

International Journal of Sustainable Transportation

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The principal objective of this research was to develop and apply a traffic and emission decision support (TEDS) tool to urban highway corridors. This model simulates traffic while predicting time elapsed, energy consumed, and pollutants emitted to the atmosphere by vehicles on the corridor. Because emissions from internal combustion engines are very high during speed-change cycles, congested stop-and-go traffic can be very detrimental to local levels of pollution. Thus, the research was mainly focused on the existence and quantification of effects for local singularities (or traffic interruptions), such as pay tolls, roundabouts, and traffic signals within the corridor. This approach yielded a numerical predictive model, based on experimental measurements and concepts of traffic flow theory, which explains the interaction between the system operational variables of each traffic interruption and the environmental and traffic performance variables. In particular, the focus was on carbon monoxide, carbon dioxide, nitric oxide, and hydrocarbons emissions and their relation to queue length and stops. The proposed traffic and emission estimation models provide an overall pollution estimate for a traffic interruption under any control configuration and traffic demand pattern.

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Characterizing real unit emissions for light duty goods vehicles

Cited by 25 publications

References 3 publications

On-Board Emission Measurement of High-Loaded Light-Duty Vehicles in Algeria

On-Board Emission Measurement of High-Loaded Light-Duty Vehicles in Algeria

Energy efficiency as a criterion in the vehicle fleet management process

A Numerical Tool for Estimating Pollutant Emissions and Vehicles Performance in Traffic Interruptions on Urban Corridors

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