scholarly journals Green Traffic-Oriented Heavy-Duty Vehicle Emission Characteristics of China VI Based on Portable Emission Measurement Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 106639-106647
Author(s):  
Yingshuai Liu ◽  
Jianwei Tan
Keyword(s):  
Vehicle Emission ◽  
Emission Characteristics ◽  
Emission Measurement ◽  
Heavy Duty ◽  
Measurement Systems ◽  
Heavy Duty Vehicle

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.

On-Road Gaseous Emission Characteristics of China IV CNG Bus in Shanghai

2013 ◽  
Vol 690-693 ◽  
pp. 1864-1871 ◽  
Author(s):  
Di Ming Lou ◽  
Si Li Qian ◽  
Zhi Yuan Hu ◽  
Pi Qiang Tan
Keyword(s):  
Emission Factor ◽  
High Speed ◽  
Idle Time ◽  
Operating Conditions ◽  
Vehicle Emission ◽  
Emission Characteristics ◽  
Emission Measurement ◽  
Gaseous Emissions ◽  
Average Speed ◽  
Portable Emission Measurement System

In this paper, on-road CO, THC, NOX, CO2 gaseous emissions characteristics of china IV CNG bus were analyzed based on on-road vehicle emission test in the peak and non-peak hours of city traffic in Shanghai using a portable emission measurement system (PEMS). The experimental results reveal that: compared with the condition results in the non-peak hours, it (conditions in the peak hours) have lower average speed, longer idle time and shorter high speed time; the NOX emission factor and rate in the peak hour reduced by 5.66% and 70.2%; the CO, HC, CO2 emissions factors are increased by 47.2%, 32.6%, 20.8%, and the CO, HC, CO2 emissions rates reduced by 1.94%, 26.5%, 48.7% respectively, compared with that in the non-peak hours; The CO, HC, NOX, CO2 emissions factors all decreased as bus speed increased, while they increased as bus acceleration increased; the gaseous emissions rates all increased as bus speed increased; both the emissions factors and emissions rates contributions are highest at accelerations, higher at cruise speeds, and the lowest at decelerations for non-idling buses; the emissions rates under the condition of idling is lowest; gaseous emissions contribution under the various operating conditions has displayed certain correlations with the percentage of the time for different operating conditions.

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.

scholarly journals Forecasting Greenhouse Gas Emissions from Heavy Vehicles: A Case study of Semarang City

2021 ◽  
Vol 18 (2) ◽  
pp. 254-260
Author(s):  
Mochamad Arief Budihardjo ◽  
Isaaf Fadhilah ◽  
Natasya Ghinna Humaira ◽  
Mochtar Hadiwidodo ◽  
Irawan Wisnu Wardhana ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Vehicle Emissions ◽  
Greenhouse Gas Emission ◽  
Control Strategies ◽  
Road Transport ◽  
Vehicle Emission ◽  
Heavy Duty ◽  
Intergovernmental Panel ◽  
Heavy Duty Vehicle ◽  
Using Data

In Indonesia, transportation sector, specifically road transport consumed most energy compared to other sectors. Eventually, the energy consumption will increase due to the growth of vehicle number that also escalate emission. Vehicle emissions had been recognized as a significant contributor to atmospheric greenhouse gas (GHG) pollution. Heavy-duty vehicles are considered as main sources of vehicular emissions in most cities. Therefore, it is crucial to take into account heavy-duty vehicle emission projections in order to support policymakers to identify vehicle emissions and develop pollution control strategies. The aim of this study is to forecast heavy-duty vehicle population, vehicle kilometers travelled (VKT), fuel consumption, and heavy-duty vehicle emissions using data of Semarang City to illustrate greenhouse gas emission of big cities in Indonesia. Business as Usual (BAU) and The Intergovernmental Panel on Climate Change (IPCC) method were incorporated to determine vehicle emission projection. Heavy-duty vehicle emissions increase from 2021 to 2030 by 12.317 to 22.865 Gg CO2/year with amount trucks and buses emissions of 21.981,5 Gg CO2/year and 884,2 Gg CO2/year, respectively.

scholarly journals Vehicle Emission Factors of Solid Nanoparticles in the Laboratory and on the Road Using Portable Emission Measurement Systems (PEMS)

2015 ◽  
Vol 3 ◽  
Author(s):  
Barouch Giechaskiel ◽  
Francesco Riccobono ◽  
Theodoros Vlachos ◽  
Pablo Mendoza-Villafuerte ◽  
Ricardo Suarez-Bertoa ◽  
...  
Keyword(s):  
Emission Factors ◽  
Vehicle Emission ◽  
Emission Measurement ◽  
Measurement Systems ◽  
The Road ◽  
On The Road

scholarly journals Analysis of the engine test cycles from China VI heavy duty vehicle standard and China automotive test cycle

2021 ◽  
Vol 268 ◽  
pp. 01020
Author(s):  
Xiaowei Wang ◽  
Chuanqi Wang ◽  
Tao Gao ◽  
Tengteng Li ◽  
Hailiang Lao
Keyword(s):  
Regression Analysis ◽  
Diesel Engine ◽  
Vehicle Emission ◽  
Engine Test ◽  
Heavy Duty ◽  
Test Cycle ◽  
Emission Standard ◽  
Exhaust Temperature ◽  
Heavy Duty Vehicle ◽  
Low Load

This paper studied the engine test cycles including world harmonized steady cycle (WHSC), world harmonized transient cycle (WHTC) , china heavy-duty steady cycle (CHSC) and china heavy-duty transient cycle (CHTC) based on a diesel engine which meet the China VI heavy duty vehicle emission standard. The results show that regression analysis of speed, torque and power all meet the requirements of the China VI heavy duty vehicle standard. For this engine, NOx, PM and THC pollutants under CHSC are 134.5%, 29.6% and 94.4% higher than those under WHSC, respectively. PN emissions of CHSC is 65.6% lower than that of WHSC. NOx, PM and PN pollutants under CHTC are 62.9%, 96.4% and 64.3% higher than those under WHTC, respectively. The exhaust temperature of the first 350 seconds at CHTC is lower, which poses a greater challenge to the conversion efficiency of the after-treatment system at low speed and low load.

scholarly journals Real-world measurement and mechanical-analysis-based verification of NO<sub><i>x</i></sub> and CO<sub>2</sub> emissions from an in-use heavy-duty vehicle

2021 ◽  
Vol 14 (3) ◽  
pp. 2115-2126
Author(s):  
Hiroo Hata ◽  
Kazuo Kokuryo ◽  
Takehiko Ogata ◽  
Masahiko Kugata ◽  
Koichi Yanai ◽  
...  
Keyword(s):  
Real World ◽  
Catalytic Reduction ◽  
Cold Season ◽  
Mechanical Analysis ◽  
Experimental Results ◽  
Emission Measurement ◽  
Heavy Duty ◽  
Driving Mode ◽  
Ambient Temperatures ◽  
Heavy Duty Vehicle

Abstract. A portable emission measurement system (PEMS) was used to measure the real-world driving emissions pertaining to a Japanese middle-sized heavy-duty vehicle. The testing was performed with the vehicle being driven in the metropolitan area of Tokyo in four seasons (January, June, August, and November) to analyze the seasonal dependence of NOx and CO2 emissions. The experimental results indicated that the amount of NOx emissions was particularly high in the cold season owing to the slow starting of the NOx after-treatment systems, which is to say the exhaust gas recirculation and urea-selective-catalytic-reduction systems, under low-ambient-temperature conditions. In real-world driving, a high acceleration pattern was observed in the low-speed region which is not considered in the world harmonized vehicle cycle, which is the worldwide official driving mode in the chassis dynamometer experiment. Finally, the transient emission tables for NOx and CO2 were constructed based on the PEMS measurement results and the classical mechanic theory. The constructed tables replicated well the experimental results in all the considered conditions involving different ambient temperatures and locations. The proposed approach can be used to evaluate emission inventories in the future.

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