scholarly journals Characterization of Real-World Pollutant Emissions and Fuel Consumption of Heavy-Duty Diesel Trucks with Latest Emissions Control

Atmosphere ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 535 ◽  
Author(s):  
Christos Keramydas ◽  
Leonidas Ntziachristos ◽  
Christos Tziourtzioumis ◽  
Georgios Papadopoulos ◽  
Ting-Shek Lo ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Emission Factors ◽  
Pollutant Emissions ◽  
Particulate Filter ◽  
Emission Measurement ◽  
Heavy Duty ◽  
Heavy Duty Diesel ◽  
Diesel Trucks ◽  
The Impact

Heavy-duty diesel trucks (HDDTs) comprise a key source of road transport emissions and energy consumption worldwide mainly due to the growth of road freight traffic during the last two decades. Addressing their air pollutant and greenhouse gas emissions is therefore required, while accurate emission factors are needed to logistically optimize their operation. This study characterizes real-world emissions and fuel consumption (FC) of HDDTs and investigates the factors that affect their performance. Twenty-two diesel-fueled, Euro IV to Euro VI, HDDTs of six different manufacturers were measured in the road network of the Hong Kong metropolitan area, using portable emission measurement systems (PEMS). The testing routes included urban, highway and mixed urban/highway driving. The data collected corresponds to a wide range of driving, operating, and ambient conditions. Real-world distance- and energy-based emission levels are presented in a comparative manner to capture the effect of after-treatment technologies and the role of the evolution of Euro standards on emissions performance. The emission factors’ uncertainty is analyzed. The impact of speed, road grade and vehicle weight loading on FC and emissions is investigated. An analysis of diesel particulate filter (DPF) regenerations and ammonia (NH3) slip events are presented along with the study of Nitrous oxide (N2O) formation. The results reveal deviations of real-world HDDTs emissions from emission limits, as well as the significant impact of different operating and driving factors on their performance. The occasional high levels of N2O emissions from selective catalytic reduction equipped HDDTs is also revealed, an issue that has not been thoroughly considered so far.

Real World Study of Diesel Particulate Filter Ash Accumulation in Heavy-Duty Diesel Trucks

2006 ◽  
Author(s):  
Ken Kimura ◽  
Mike Lynskey ◽  
Eric R. Corrigan ◽  
David L. Hickman ◽  
Jerry Wang ◽  
...  
Keyword(s):  
Real World ◽  
Diesel Particulate Filter ◽  
Particulate Filter ◽  
Heavy Duty ◽  
Diesel Particulate ◽  
Heavy Duty Diesel ◽  
Diesel Trucks

Emissions Characteristics for Heavy-Duty Diesel Trucks Under Different Loads Based on Vehicle-Specific Power

2017 ◽  
Vol 2627 (1) ◽  
pp. 77-85 ◽  
Author(s):  
Shuanghong Zhang ◽  
Lei Yu ◽  
Guohua Song
Keyword(s):  
Carbon Dioxide ◽  
Travel Speed ◽  
Specific Power ◽  
Oxides Of Nitrogen ◽  
Heavy Duty ◽  
Operating Modes ◽  
Vehicle Loads ◽  
Heavy Duty Diesel ◽  
Diesel Trucks ◽  
The Impact

Both operating modes and emissions factors for heavy-duty diesel (HDD) trucks were analyzed under different loads to understand the effect of vehicle loads on emissions. Second-by-second speed data for different loads for HDD trucks were collected first. Then a method for calculating the vehicle-specific power (VSP) values and an emissions model for heavy-duty vehicles by using the VSP value were developed to evaluate the effect of different vehicle loads. The VSP distributions and emissions characteristics for fully loaded and unloaded trucks were analyzed and compared. The results illustrate that the fully loaded vehicles spent more time driving in steady modes and the time percentage of VSP values in the bin of 0 kW/ton for fully loaded trucks was lower than the percentage for unloaded trucks. However, the time percentage at the positive VSP value was significantly higher than the percentage for the unloaded trucks. The emissions factors of fully loaded trucks were significantly higher than those of unloaded trucks. Emissions factors were affected the most at speed intervals of 20 to 40 km/h, with emissions factors for carbon dioxide, carbon monoxide (CO), oxides of nitrogen (NOx), hydrocarbon, and particulate matter (PM) at 20.4%, 23.5%, 29.0%, 11.7%, and 9.4% higher, respectively, than those levels for unloaded vehicles. With an increase of travel speed, the impact of the load on emissions weakened. Vehicle loads had the greatest effect on emissions of NOx, followed by emissions of CO. PM emissions were the least affected by vehicle loads. The impact of vehicle loads on emissions was affected by different acceleration behaviors under different loads.

scholarly journals Investigating Real-World Emissions of China’s Heavy-Duty Diesel Trucks: Can SCR Effectively Mitigate NOx Emissions for Highway Trucks?

2017 ◽  
Vol 17 (10) ◽  
pp. 2585-2594 ◽  
Author(s):  
Liqiang He ◽  
Jingnan Hu ◽  
Shaojun Zhang ◽  
Ye Wu ◽  
Xing Guo ◽  
...  
Keyword(s):  
Real World ◽  
Nox Emissions ◽  
Heavy Duty ◽  
Heavy Duty Diesel ◽  
Diesel Trucks

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.

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