The Development of a Simulation Tool for Monitoring Heavy-Duty Vehicle CO2 Emissions and Fuel Consumption in Europe

2013 ◽  
Author(s):  
Georgios Fontaras ◽  
Martin Rexeis ◽  
Panagiota Dilara ◽  
Stefan Hausberger ◽  
Konstantinos Anagnostopoulos
Keyword(s):  
Fuel Consumption ◽  
Co2 Emissions ◽  
Simulation Tool ◽  
Heavy Duty ◽  
Heavy Duty Vehicle

scholarly journals An estimation of heavy-duty vehicle fleet CO2 emissions based on sampled data

2021 ◽  
Vol 94 ◽  
pp. 102784
Author(s):  
Nikiforos Zacharof ◽  
Georgios Fontaras ◽  
Biagio Ciuffo ◽  
Alessandro Tansini ◽  
Iker Prado-Rujas
Keyword(s):  
Co2 Emissions ◽  
Sampled Data ◽  
Heavy Duty ◽  
Heavy Duty Vehicle ◽  
Vehicle Fleet

scholarly journals Study on fuel consumption and emission characteristics of China VI heavy duty vehicle based on vehicle specific power

2021 ◽  
Vol 268 ◽  
pp. 01055
Author(s):  
Dandan Xu ◽  
Zhongming Gao ◽  
Yong Guo ◽  
Yan Yan ◽  
Fengbin Wang ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Specific Power ◽  
Emission Characteristics ◽  
Heavy Duty ◽  
Emission Data ◽  
Absolute Value ◽  
Driving Time ◽  
Heavy Duty Vehicle ◽  
Measurement Results ◽  
Pollutants Emission

This study selects a China VI heavy duty vehicle for PEMS test, and Based on the measurement results of vehicle specific power (VSP) parameters, the VSP calculation formula applicable to this study is proposed , And analyzes the distribution characteristics of VSP, and at the same time according to the fuel consumption and emission data of the actual road driving process collected by the vehicle, The effect of VSP on vehicle fuel consumption and emission characteristics and the correlation between the two are studied. Results show that VSP of the vehicle are mainly concentrated in the interval -10 ≤ VSP ≤ 10kw / t, in which the vehicle driving time accounts for about 99.3% of the total time; the correlation coefficient between VSP and average fuel consumption is about 0.93, there is a strong correlation; The changes of CO, CO2, NOX and PN with VSP all show as that under the same absolute value of VSP, the pollutants emission rate in the VSP> 0 interval is higher than the VSP <0 interval, in which the correlation between VSP and CO, CO2, PN emissions is more strong, but poorly correlated with NOX emissions.

Method for Translation of In-Use Fuel Consumption and NOX Emissions Between Different Heavy-Duty Vehicle Routes

2011 ◽  
Author(s):  
Oscar F. Delgado ◽  
Nigel N. Clark ◽  
Gregory J. Thompson
Keyword(s):  
Fuel Consumption ◽  
Relative Error ◽  
Nox Emissions ◽  
Vehicle Speed ◽  
Chassis Dynamometer ◽  
Heavy Duty ◽  
Simple Method ◽  
The Road ◽  
Heavy Duty Vehicle ◽  
Vehicle Activity

Portable emissions measurement systems (PEMS) are used to perform in-use measurements for emissions inventory and regulatory applications. PEMS data represent real world conditions more accurately than chassis dynamometer or engine dynamometer testing, arguably being the most realistic method of determining exhaust emissions over a certain driving route. However, measured emissions and fuel consumption depend strongly on both the route followed and the traffic situation that the vehicle encounters. A tool for translation of emissions and fuel consumption between diverse types of vehicle activity is required. The purpose of this paper is to assess the possibility of using route-averaged properties (kinematic parameters) for translation of fuel consumption and NOx emissions for a set of eighteen heavy-duty vehicles operating over up to eight different driving routes. A linear model developed for heavy-duty vehicle chassis dynamometer data modeling has been extended to in-use heavy-duty vehicle data. Two approaches were implemented; the first approach mimicked the prior chassis dynamometer work by incorporating average vehicle speed and average positive acceleration and the second approach incorporated road grade in a characteristic power parameter. The end result is a simple method which was shown to be accurate for estimation of fuel consumption (within 5% relative error) and NOx emissions (within 12% relative error) for over-the-road vehicles over “unseen” roads or traffic situations, without the need to perform additional over-the-road tests.

scholarly journals Modeling Impacts of Highway Circular Curve Elements on Heavy-Duty Diesel Trucks’ CO2 Emissions

2019 ◽  
Vol 16 (14) ◽  
pp. 2514 ◽  
Author(s):  
Xiaodong Zhang ◽  
Jinliang Xu ◽  
Menghui Li ◽  
Qunshan Li ◽  
Lan Yang
Keyword(s):  
Field Experiment ◽  
Fuel Consumption ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Shaanxi Province ◽  
Emission Model ◽  
Heavy Duty ◽  
Heavy Duty Diesel ◽  
Diesel Trucks ◽  
Circular Curve

Heavy-duty trucks contribute a significant component of all transportation in cargo terminals, such as Shaanxi Province, China. The emissions from these vehicles are the primary source of carbon emissions during highway operations. While several studies have attempted to address emission issues by improving traffic operations, a few focused on the relationship between emissions and highway geometric design, especially for heavy-duty trucks. The primary goal of this research was to understand the impact of circular curve on carbon dioxide (CO2) emissions produced by heavy-duty diesel trucks. Firstly, appropriate parameters were specified in MOVES (motor vehicle emission simulator) model according to the geometrical characteristics. Fuel consumption, speed and location data were collected by hiring five skilled drivers on the automotive proving ground located at Chang’an University, Shaanxi Province. The associated carbon emission data were derived from fuel consumption data by applying the IPCC (Intergovernmental Panel on Climate Change) method. After this, the applicability of MOVES model was verified by the field experiment. Moreover, a multiple regression model for CO2 emissions incorporated with roadway segment radius, circular curve length, and initial vehicle speed was established with data generated by the MOVES model. The proposed CO2 emission model was also verified by field experiment with relative error of 6.17%. It was found that CO2 emission had monotone decreasing property with radius increasing, and the minimum radius that influenced diesel CO2 emission was 550 m. The proposed quantitative CO2 emission model can provide a reference for low-carbon highway design, leading to environment-friendly transportation construction.

Research on the Test for Complete-Vehicle Emission and Fuel Consumption of the Refuse Truck by Chassis Dynamometer

2013 ◽  
Vol 718-720 ◽  
pp. 1825-1830
Author(s):  
Kong Jian Qin ◽  
Chang Yuan Wang ◽  
Jia Yan ◽  
Xue Hao Liu
Keyword(s):  
Fuel Consumption ◽  
Fuel Economy ◽  
Emission Factor ◽  
Vehicle Emission ◽  
Emission Characteristics ◽  
Chassis Dynamometer ◽  
Heavy Duty ◽  
Vehicle Type ◽  
Heavy Duty Vehicle ◽  
Significant Difference

Refuse truck accounted for 70% of the sanitation vehicle, which was the major heavy duty vehicle type in city. Therefore its fuel economy and emission characteristics were under higher requirements. This research did the emission test on the chassis dynamometer by using compressed truck, testing C-WTCV and CCBC circle emission, and fuel consumption respectively. The research showed the Km fuel consumption of CCBC circle was about 1.3 times of the C-WTVC from the analysis of fuel consumption and the emission of CO2.From the analysis of emission factor, the emission of NOX and CO of the CCBC circle was both higher than the C-WTVC, respectively 1.9 times and 1.4 times. However, the emission of HC was only 36% of the C-WTVC. C-WTVC was very similar to the motor of the CCBC circle in city, however the motorway cycle and emission both had significant difference from CCBC circle.

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