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Impact of the electric vehicles on the air pollution from a highway


  • Ferrero, Enrico
  • Alessandrini, Stefano
  • Balanzino, Alessia


We have quantified the impact that an introduction of electric vehicles into the car fleet has on air quality (regarding NO and NO2) using a numerical dispersion model. An experimental campaign is conducted close to a highway in Milan, Italy. Meteorological parameters and chemical concentrations are measured along with the traffic emissions. We use a Lagrangian Stochastic Dispersion Model to create numerical simulations of the chemical reactions and dispersion involving pollutants from the highway. To evaluate the air pollution reductions, emission scenarios with different rates of electric vehicles introduction are simulated. We have found that only a significant replacement (50%) of non-electric vehicles with electric ones yields a remarkable reduction of the pollutant concentrations. However, even with lower electric vehicles introduction rates, the air quality improvements may be relevant during intense pollution episodes. The results provide useful information to decision makers and public administrators for planning measures to modify the car fleet composition aiming to improve the urban air quality.

Suggested Citation

  • Ferrero, Enrico & Alessandrini, Stefano & Balanzino, Alessia, 2016. "Impact of the electric vehicles on the air pollution from a highway," Applied Energy, Elsevier, vol. 169(C), pages 450-459.
  • Handle: RePEc:eee:appene:v:169:y:2016:i:c:p:450-459
    DOI: 10.1016/j.apenergy.2016.01.098

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    References listed on IDEAS

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    1. Luo, Lizi & Gu, Wei & Zhou, Suyang & Huang, He & Gao, Song & Han, Jun & Wu, Zhi & Dou, Xiaobo, 2018. "Optimal planning of electric vehicle charging stations comprising multi-types of charging facilities," Applied Energy, Elsevier, vol. 226(C), pages 1087-1099.
    2. Xiong, Rui & Cao, Jiayi & Yu, Quanqing, 2018. "Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle," Applied Energy, Elsevier, vol. 211(C), pages 538-548.
    3. Razeghi, Ghazal & Samuelsen, Scott, 2016. "Impacts of plug-in electric vehicles in a balancing area," Applied Energy, Elsevier, vol. 183(C), pages 1142-1156.
    4. Li Zhai & Liwen Lin & Xinyu Zhang & Chao Song, 2016. "The Effect of Distributed Parameters on Conducted EMI from DC-Fed Motor Drive Systems in Electric Vehicles," Energies, MDPI, Open Access Journal, vol. 10(1), pages 1-17, December.
    5. Morshed, Mohammad Javad & Hmida, Jalel Ben & Fekih, Afef, 2018. "A probabilistic multi-objective approach for power flow optimization in hybrid wind-PV-PEV systems," Applied Energy, Elsevier, vol. 211(C), pages 1136-1149.
    6. Fernández-Dacosta, Cora & Shen, Li & Schakel, Wouter & Ramirez, Andrea & Kramer, Gert Jan, 2019. "Potential and challenges of low-carbon energy options: Comparative assessment of alternative fuels for the transport sector," Applied Energy, Elsevier, vol. 236(C), pages 590-606.
    7. Riesz, Jenny & Sotiriadis, Claire & Ambach, Daisy & Donovan, Stuart, 2016. "Quantifying the costs of a rapid transition to electric vehicles," Applied Energy, Elsevier, vol. 180(C), pages 287-300.
    8. Lee, Yongseung & Kim, Chongman & Shin, Juneseuk, 2016. "A hybrid electric vehicle market penetration model to identify the best policy mix: A consumer ownership cycle approach," Applied Energy, Elsevier, vol. 184(C), pages 438-449.
    9. Juan Jesús Castillo Aguilar & Javier Pérez Fernández & Juan María Velasco García & Juan Antonio Cabrera Carrillo, 2017. "Regenerative Intelligent Brake Control for Electric Motorcycles," Energies, MDPI, Open Access Journal, vol. 10(10), pages 1-16, October.
    10. Stefano Rinaldi & Marco Pasetti & Emiliano Sisinni & Federico Bonafini & Paolo Ferrari & Mattia Rizzi & Alessandra Flammini, 2018. "On the Mobile Communication Requirements for the Demand-Side Management of Electric Vehicles," Energies, MDPI, Open Access Journal, vol. 11(5), pages 1-27, May.
    11. Nienhueser, Ian Andrew & Qiu, Yueming, 2016. "Economic and environmental impacts of providing renewable energy for electric vehicle charging – A choice experiment study," Applied Energy, Elsevier, vol. 180(C), pages 256-268.
    12. Shareef, Hussain & Islam, Md. Mainul & Mohamed, Azah, 2016. "A review of the stage-of-the-art charging technologies, placement methodologies, and impacts of electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 403-420.
    13. Zhao, Jinxing, 2017. "Research and application of over-expansion cycle (Atkinson and Miller) engines – A review," Applied Energy, Elsevier, vol. 185(P1), pages 300-319.
    14. Marco Pasetti & Stefano Rinaldi & Alessandra Flammini & Michela Longo & Federica Foiadelli, 2019. "Assessment of Electric Vehicle Charging Costs in Presence of Distributed Photovoltaic Generation and Variable Electricity Tariffs," Energies, MDPI, Open Access Journal, vol. 12(3), pages 1-20, February.
    15. Li Zhai & Tao Zhang & Yu Cao & Sipeng Yang & Steven Kavuma & Huiyuan Feng, 2018. "Conducted EMI Prediction and Mitigation Strategy Based on Transfer Function for a High-Low Voltage DC-DC Converter in Electric Vehicle," Energies, MDPI, Open Access Journal, vol. 11(5), pages 1-17, April.


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