title: Real-world vehicle emission factors in Chinese metropolis city--Beijing.
abstract: The dynamometer tests with different driving cycles and the real-world tests are presented. Results indicated the pollutants emission factors and fuel consumption factor with ECE15 + EUDC driving cycle usually take the lowest value and with real world driving cycle occur the highest value, and different driving cycles will lead to significantly different vehicle emission factors with the same vehicle. Relative to the ECE15 + EUDC driving cycle, the increasing rate of pollutant emission factors of CO, NOx and HC are - 0.42-2.99, -0.32-0.81 and -0.11-11 with FTP75 testing, 0.11-1.29, -0.77-0.64 and 0.47-10.50 with Beijing 1997 testing and 0.25-1.83, 0.09-0.75 and - 0.58-1.50 with real world testing. Compared to the carburetor vehicles, the retrofit and MPI + TWC vehicles' pollution emissionfactors decrease with different degree. The retrofit vehicle (Santana) will reduce 4.44%-58.44% CO, -4.95%-36.79% NOx, -32.32%-33.89% HC, and -9.39%-14.29% fuel consumption, and especially that the MPI + TWC vehicle will decrease CO by 82.48%-91.76%, NOx by 44.87%-92.79%, HC by 90.00%-93.89% and fuel consumption by 5.44%-10.55%. Vehicles can cause pollution at a very high rate when operated in high power modes; however, they may not often operate in these high power modes. In analyzing vehicle emissions, it describes the fraction of time that vehicles operate in various power modes. In Beijing, vehicles spend 90% of their operation in low power modes or decelerating.
authors.affiliation: Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China. wqdong@pm25.org
authors.forename: Qi-dong
authors.initials: QD
authors.lastname: Wang
authors.forename: Ke-bin
authors.initials: KB
authors.lastname: He
authors.forename: Hong
authors.initials: H
authors.lastname: Huo
authors.forename: James
authors.initials: J
authors.lastname: Lents
mesh_terms: D002681:China; D002947:Cities; D018986:Motor Vehicles / Q000706:statistics & numerical data*; D010578:Petroleum / Q000706:statistics & numerical data*; D013997:Time Factors; D001335:Vehicle Emissions / Q000032:analysis* / Q000517:prevention & control*
chemical_list: D010578:Petroleum; D001335:Vehicle Emissions