JpGU-AGU Joint Meeting 2017

講演情報

[EE]Eveningポスター発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS05] [EE] Contributions of local and long-range transport to air pollutants in mega-cities

2017年5月25日(木) 15:30 〜 16:45 ポスター会場 (国際展示場 7ホール)

[AAS05-P09] Potential impacts of electric vehicles on air quality in Taiwan

*Li Nan1,2Chen Jen-Ping2Tsai I-Chun3 (1.School of Environmental Science and Engineering, Nanjing Unviersity of Information Science and Technology、2.Department of Atmospheric Sciences, National Taiwan University、3.Research Center of Environmental Changes, Academia Sinica)

キーワード:Electric vehicle, air quality, AQI, CMAQ, Taiwan

The prospective impacts of electric vehicle (EV) penetration on the air quality in Taiwan were evaluated using an air quality model with the assumption of an ambitious replacement of current light-duty vehicles under different power generation scenarios. With full EV penetration (i.e., the replacement of all light-duty vehicles), CO, VOCs, NOx and PM2.5 emissions in Taiwan from a fleet of 20.6 million vehicles would be reduced by 1500, 165, 33.9 and 7.2 Gg yr-1, respectively, while electric sector NOx and SO2 emissions would be increased by up to 20.3 and 12.9 Gg yr-1, respectively, if the electricity to power EVs were provided by thermal power plants. The net impacts of these emission changes would be to reduce the annual mean surface concentrations of CO, VOCs, NOx and PM2.5 by about 260, 11.3, 3.3 ppb and 2.1 μg m-3, respectively, but to increase SO2 by 0.1 ppb. Larger reductions tend to occur at time and place of higher ambient concentrations and during high pollution events. Greater benefits would clearly be attained if clean energy sources were fully encouraged. EV penetration would also reduce the mean peak-time surface O3 concentrations by up to 7 ppb across Taiwan with the exception of the center of metropolitan Taipei where the concentration increased by ~2 ppb. Furthermore, full EV penetration would reduce annual days of O3 pollution episodes by ~40% and PM2.5 pollution episodes by 6–10%. Our findings offer important insights into the air quality impacts of EV and can provide useful information for potential mitigation actions.