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Article

The Indirect Carbon Cost of E-Mobility for Select Countries Based on Grid Energy Mix Using Real-World Data

by
Nana Kofi Twum-Duah
1,*,
Lucas Hajiro Neves Mosquini
1,2,
Muhammad Salman Shahid
1,
Seun Osonuga
1,
Frédéric Wurtz
1,* and
Benoit Delinchant
1
1
Univ. Grenoble Alpes, CNRS, Grenoble INP*, G2Elab, 38000 Grenoble, France
2
University of Applied Sciences of Western Switzerland, Energy Institute, HEIA-FR, 1700 Fribourg, Switzerland
*
Authors to whom correspondence should be addressed.
Sustainability 2024, 16(14), 5883; https://doi.org/10.3390/su16145883
Submission received: 28 May 2024 / Revised: 21 June 2024 / Accepted: 2 July 2024 / Published: 10 July 2024

Abstract

Electric vehicles are considered by many as an emission-free or low-emission solution to meet the challenge of sustainable transportation. However, the operational input, electrical energy, has an associated cost, greenhouse gasses, which results in indirect emissions. Given this knowledge, we pose the following question: “Are zero-emission transportation targets achievable given our current energy mix?” The objective of this article is to assess the impact of a grid’s energy mix on the indirect emissions of an electric vehicle. The study considers real-world data, vehicle usage data from an electric vehicle, and carbon intensity data for India, the USA, France, the Netherlands, Brazil, Germany, and Poland. Linear programming-based optimization is used to compute the best charging scenario for each of the given grids and, consequently, the indirect emissions are compared to those of a high-efficiency 1.5 L diesel internal combustion engine for the vehicle: a 2019 Renault Clio dCi 85. The results indicate that for grids with low renewable energy penetration, such as those of Poland and India (Maharashtra), an electric vehicle, even when optimally charged, can be classified as neither a low- nor zero-emission alternative to normal thermal vehicles. Also, for grids with elevated levels of variation in their carbon intensity, there is significant potential to reduce the carbon footprint related to charging an electric vehicle. This article provides a real-world perspective of how an electric vehicle performs in the face of different energy mixes and serves as a precursor to the development of robust indicators for determining the carbon reductions related to the e-mobility transition.
Keywords: e-mobility; carbon impact; linear programming; optimization; indirect emissions; electric vehicles; sustainable transportation; grid energy mix e-mobility; carbon impact; linear programming; optimization; indirect emissions; electric vehicles; sustainable transportation; grid energy mix

Share and Cite

MDPI and ACS Style

Twum-Duah, N.K.; Neves Mosquini, L.H.; Shahid, M.S.; Osonuga, S.; Wurtz, F.; Delinchant, B. The Indirect Carbon Cost of E-Mobility for Select Countries Based on Grid Energy Mix Using Real-World Data. Sustainability 2024, 16, 5883. https://doi.org/10.3390/su16145883

AMA Style

Twum-Duah NK, Neves Mosquini LH, Shahid MS, Osonuga S, Wurtz F, Delinchant B. The Indirect Carbon Cost of E-Mobility for Select Countries Based on Grid Energy Mix Using Real-World Data. Sustainability. 2024; 16(14):5883. https://doi.org/10.3390/su16145883

Chicago/Turabian Style

Twum-Duah, Nana Kofi, Lucas Hajiro Neves Mosquini, Muhammad Salman Shahid, Seun Osonuga, Frédéric Wurtz, and Benoit Delinchant. 2024. "The Indirect Carbon Cost of E-Mobility for Select Countries Based on Grid Energy Mix Using Real-World Data" Sustainability 16, no. 14: 5883. https://doi.org/10.3390/su16145883

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