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Real-world fuel consumption, gaseous pollutants, and CO2 emission of light-duty diesel vehicles
Real-world fuel consumption, gaseous pollutants, and CO2 emission of light-duty diesel vehicles
- Source :
- Sustainable Cities and Society. 53:101925
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- The number of investigation on the fuel efficiency and the emission characteristics of diesel vehicles under steady-state operation and under transient operation has been carried out, and the knowledge obtained from these research provides substantial information to analyze real driving emissions of diesel vehicles. Detailed information on the fuel use and the emission under the real driving condition, however, are still required in order to provide substantial information to analyze and predict the fuel use and gaseous emissions from a diesel vehicle driving various real-world conditions. This work aims to characterize the fuel use and the gaseous emissions such as NOx, unburned HC, CO, and CO2 from light-duty diesel vehicles, complying with Euro 6b emissions standards, driving the route fully reflected various real-world driving conditions. The experiment was carried out with a Portable Emissions Measurement System (PEMS) including a Global Positioning System (GPS). We evaluated the fuel used and the overall gaseous emissions in various road conditions, and the vehicle specific powers (VSPs) with determining the road load coefficients and regression coefficient by multiple linear regression analysis. Furthermore, this work also revealed the fuel use and the emissions per VSP of vehicles in these six different conditions.
- Subjects :
- Portable emissions measurement system
Renewable Energy, Sustainability and the Environment
business.industry
Gaseous pollutants
Light duty
Geography, Planning and Development
0211 other engineering and technologies
Transportation
02 engineering and technology
010501 environmental sciences
01 natural sciences
Automotive engineering
Diesel fuel
Fuel efficiency
Global Positioning System
Environmental science
Multiple linear regression analysis
021108 energy
business
NOx
0105 earth and related environmental sciences
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 22106707
- Volume :
- 53
- Database :
- OpenAIRE
- Journal :
- Sustainable Cities and Society
- Accession number :
- edsair.doi...........e6b92afea9ee2f92fade8046011e305b
- Full Text :
- https://doi.org/10.1016/j.scs.2019.101925