On-road pollutant emission and fuel consumption characteristics of buses in Beijing

Wang, Aijuan; Ge, Yunshan; Tan, Jianwei; Fu, Mingliang; Shah, Asad Naeem; Ding, Yan; Hong, Zhonghua; Bin, Liang

doi:10.1016/s1001-0742(10)60426-3

Cited by 82 publications

(46 citation statements)

References 17 publications

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“…Taking a different direction, Paravantis and Georgakellos (2007) and Wang et al (2011) developed another method of research to combine forecasting and comparisons of data on fuel consumption and emissions. The multiple regression model produced by Paravantis and Georgakellos (2007) was aggregated, matching car ownership and bus fleet with the objective of quantifying the contribution of each transportation mode to total CO 2 emissions in road passenger transportation and indirectly to energy efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Influential vectors in fuel consumption by an urban bus operator: Bus route, driver behavior or vehicle type?

Silva

Moura

Garcia

et al. 2015

Transportation Research Part D: Transport and Environment

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Section: Literature Reviewmentioning

confidence: 99%

Influential vectors in fuel consumption by an urban bus operator: Bus route, driver behavior or vehicle type?

Silva

Moura

Garcia

et al. 2015

Transportation Research Part D: Transport and Environment

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“…Emission factors of BEVs were set at zero. Additionally, emission factors for HEV-PCs (Li et al, 2009), HEV-Buses (Song et al, 2007), and CNGBuses (Wang A.J. et al, 2011) were obtained from previous studies ( Table 2).…”

Section: Emission Inventory Establishmentmentioning

confidence: 99%

Scenarios for vehicular air pollutant emissions abatement: a case study in Hangzhou, China

Tian

et al. 2014

J. Zhejiang Univ. Sci. A

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Motor vehicles are the major source of urban air pollution. The abatement of air pollutant emissions is an urgent task for environmental protection. This paper simulated the abatement for carbon monoxide (CO), volatile organic compounds (VOCs), nitrogen oxides (NO x ), and particular matter (PM) emissions from vehicles under four scenarios in the year 2015 in Hangzhou, China. It was found that the emissions of CO, VOCs, NO x , and PM from vehicles were 440.551, 23.079, 44.255, and 6.532 kt/a in 2010 in Hangzhou, respectively. The vehicle population will increase to over 1.2 million with a 60.7% growth rate until 2015 (estimated). Based on the scenario analysis, it was found that eliminating substandard vehicles and upgrading vehicle's standards could help reduce CO and VOCs effectively, while the expected abatement of NO x and PM would be offset by the rapid increase in the vehicle numbers. It was also found that integrated measurements, including eliminating substandard vehicles, upgrading vehicle standards, supplying low sulfur oil, and introducing alternative fuel vehicles could simultaneously reduce the four key pollutants. These integrated policies make it possible to reduce 250.197, 10.270, 1.791, and 0.335 kt/a CO, VOCs, NO x , and PM with 56.79%, 44.50%, 4.05%, and 5.14% decrease rates in 2015, respectively, when compared to those in 2010.

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“…This applies equally to spark ignition and diesel engines [1][2][3][4][5][6][7][8][9][10][11]. This work concentrates on the influence of real world congested traffic on vehicle movement and SI vehicle emissions.…”

Section: Introductionmentioning

confidence: 99%

Real World Driving: Emissions in Highly Congested Traffic

Khalfan¹,

Andrews²,

Li³

2017

SAE Technical Paper Series

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The emissions from vehicles in real world driving are of current concern, as they are often higher than on legislated test cycles and this may explain why air quality in cities has not improved in proportion to the reduction in automotive emissions. This has led to the Real Driving Emissions (RDE) legislation in Europe. RDE involves journeys of about 90km with roughly equal proportion of urban, rural and motorway driving. However, air quality exceedances occur in cities with urban congested traffic driving as the main source of the emissions that deteriorate the air quality. Thus the emissions measured on RDE journeys may not be relevant to air quality in cities. A Temet FTIR and Horiba exhaust mass flow measurement system was used for the mass emissions measurements in a Euro 4 SI vehicle. A 5km urban journey on a very congested road was undertaken 29 times at various times so that different traffic congestion was encountered. Each journey was split into ten sections in order that the location and traffic conditions of the highest emissions could be determined. It was found that low speed stop-start traffic has much higher emissions than for freely moving traffic and most of the higher emissions on the longer 5km journeys occurred in relatively short sections of slow moving stop/start traffic. The journey used passed a roadside air quality monitor that exceeded the EU NO2 and PM standards on an annual basis and it was located by the most congested part of the route, where the traffic emissions are shown in this work to be at their highest.

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On-road pollutant emission and fuel consumption characteristics of buses in Beijing

Cited by 82 publications

References 17 publications

Influential vectors in fuel consumption by an urban bus operator: Bus route, driver behavior or vehicle type?

Influential vectors in fuel consumption by an urban bus operator: Bus route, driver behavior or vehicle type?

Scenarios for vehicular air pollutant emissions abatement: a case study in Hangzhou, China

Real World Driving: Emissions in Highly Congested Traffic

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