Minimum environmental footprint charging of electric vehicles: A spatiotemporal scenario analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU144277" target="_blank" >RIV/00216305:26210/22:PU144277 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0196890422003284" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0196890422003284</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.enconman.2022.115532" target="_blank" >10.1016/j.enconman.2022.115532</a>
Alternative languages
Result language
angličtina
Original language name
Minimum environmental footprint charging of electric vehicles: A spatiotemporal scenario analysis
Original language description
Electrification of mobility can be an effective solution to reduce the environmental burden of the transportation sector. Previous research has frequently used theoretical assumptions and has not always adequately analysed spatiotemporal heterogeneity (charging location and timing) of the power generation in electric vehicle charging events. The environmental sustainability of electric vehicles has still considerable room for further improvement. This study aims to identify the time series greenhouse gas emission pattern of power generation and assess the potential emission reduction by altering the charging behaviour. The assessed environmental performance results of hourly power generation, using the Czech Republic, Germany and Sweden as different power generation sources examples, draw several insights that could support the development of smart and more environmentally friendly charging. Among multiple identified spatiotemporal patterns, the greenhouse gas emissions (kg/MWh) during the weekend are significantly lower than working days for the Czech Republic (9 % lower) and Germany (19 % lower), while in Sweden being consistent throughout the week. A case study with four scenarios was conducted under different timings, routes (departure and destination), and real-world constraints. In general, under all the assessed scenarios, electric vehicles on the user phase have a lower greenhouse gas footprint than internal combustion engine vehicles. A greenhouse gas saving range from 3.6–32 %, compared to the baseline scenario (usual charging behaviour), could be achieved by changing the charging behaviour of the users from different assessed countries via targeting the time interval with lower greenhouse gas performance. This work has in view to facilitate electric vehicles development in reaching full potential contributions to sustainability.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20704 - Energy and fuels
Result continuities
Project
<a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ENERGY CONVERSION AND MANAGEMENT
ISSN
0196-8904
e-ISSN
1879-2227
Volume of the periodical
neuveden
Issue of the periodical within the volume
258
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
115532-115532
UT code for WoS article
000803706100004
EID of the result in the Scopus database
2-s2.0-85127741743