Bottom-up approach to assess carbon emissions of battery electric vehicle operations in China
Hong Yuan, Minda Ma

TL;DR
This paper develops a bottom-up model to estimate the electricity use and carbon emissions of popular BEVs in China, revealing significant growth in energy demand and emissions from 2020 to 2022, with regional variations.
Contribution
It introduces the first bottom-up charging demand model for assessing BEV operational emissions across China’s climate zones, providing detailed regional and model-specific insights.
Findings
BEV energy demand increased from 601 to 3054 GWh (2020-2022)
Carbon intensity per vehicle decreased from 797 to 621 kg CO2
BEV stock emissions grew to 6.8 Mt CO2 in 2022
Abstract
The transportation sector is the third-largest global energy consumer and emitter, making it a focal point in the transition toward the net-zero future. To accelerate the decarbonization of passenger cars, this work is the first to propose a bottom-up charging demand model to estimate the operational electricity use and associated carbon emissions of best-selling battery electric vehicles (BEVs) in various climate zones in China during the 2020s. The findings reveal that (1) the operational energy demand of the top-20 selling BEV models in China, such as Tesla, Wuling Hongguang, and BYD, increased from 601 to 3054 giga-watt hours (GWh) during 2020-2022, with BEVs in South China contributing more than half of the total electricity demand; (2) from 2020 to 2022, the energy and carbon intensities of the best-selling models decreased from 1364 to 1095 kilowatt-hour per vehicle and from 797…
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Taxonomy
TopicsElectric Vehicles and Infrastructure · Vehicle emissions and performance
