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Analysis of CO2 emissions and techno-economic feasibility of an electric commercial vehicle

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  • Falcão, Eduardo Aparecido Moreira
  • Teixeira, Ana Carolina Rodrigues
  • Sodré, José Ricardo

Abstract

In order to attain emissions reduction targets to improve air quality and reduce global warming, electric vehicles (EVs) arise as alternatives to conventional vehicles fueled by fossil fuels. In this context, this work presents a comparative study between an EV and its conventional version, a medium-duty, diesel engine powered vehicle, from road tests following a standard cycle in urban driving conditions. The performance parameters evaluated are EV electric energy consumption and carbon dioxide (CO2) emissions from electricity generation and, for the conventional vehicle, exhaust CO2 emissions and energy consumption calculated from fuel consumption and heating value. Five scenarios were built to conduct an economic viability study in terms of payback and net present value (NPV). Considering the conditions applied, the results from the environmental analysis showed that CO2 emissions from the EV was 4.6 times lower in comparison with the diesel vehicle. On the other hand, the economic analysis revealed that the viability of the EV is compromised, mainly due to the imported parts with unfavorably high exchange rates. In the best scenario and not considering revenue from commercial application, the calculated payback period of the EV is 13years of operation.

Suggested Citation

  • Falcão, Eduardo Aparecido Moreira & Teixeira, Ana Carolina Rodrigues & Sodré, José Ricardo, 2017. "Analysis of CO2 emissions and techno-economic feasibility of an electric commercial vehicle," Applied Energy, Elsevier, vol. 193(C), pages 297-307.
    • Handle: RePEc:eee:appene:v:193:y:2017:i:c:p:297-307
    DOI: 10.1016/j.apenergy.2017.02.050
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    2. Burgos Payán, Manuel & Roldan Fernandez, Juan Manuel & Maza Ortega, Jose Maria & Riquelme Santos, Jesus Manuel, 2019. "Techno-economic optimal power rating of induction motors," Applied Energy, Elsevier, vol. 240(C), pages 1031-1048.
    3. Saw, Lip Huat & Ye, Yonghuang & Yew, Ming Chian & Chong, Wen Tong & Yew, Ming Kun & Ng, Tan Ching, 2017. "Computational fluid dynamics simulation on open cell aluminium foams for Li-ion battery cooling system," Applied Energy, Elsevier, vol. 204(C), pages 1489-1499.
    4. Trancho, E. & Ibarra, E. & Arias, A. & Kortabarria, I. & Prieto, P. & Martínez de Alegría, I. & Andreu, J. & López, I., 2018. "Sensorless control strategy for light-duty EVs and efficiency loss evaluation of high frequency injection under standardized urban driving cycles," Applied Energy, Elsevier, vol. 224(C), pages 647-658.

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