2013
DOI: 10.1016/j.rser.2013.03.063
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Impact of the electricity mix and use profile in the life-cycle assessment of electric vehicles

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Cited by 288 publications
(165 citation statements)
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“…Various studies have discussed AFVs in relation to sustainability or sustainable development [4][5][6][7][8][9][10][11][12][13][14][15][16][17]. However, merely a handful of studies have been geared toward AFV evaluation with consideration to all sustainable development elements: economic, environmental, and social.…”
Section: Relationship Between Sustainable Development and Afvsmentioning
confidence: 99%
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“…Various studies have discussed AFVs in relation to sustainability or sustainable development [4][5][6][7][8][9][10][11][12][13][14][15][16][17]. However, merely a handful of studies have been geared toward AFV evaluation with consideration to all sustainable development elements: economic, environmental, and social.…”
Section: Relationship Between Sustainable Development and Afvsmentioning
confidence: 99%
“…Research approaches were conducted in AFVs in relation to sustainability or sustainable development, such as multi-level analysis [4], cost prediction analysis [5], life-cycle modeling [6], qualitative research [7,10,11], the Energy PLAN model [9], NETPLAN [13,14], and the hybrid choice model [16]. However, those research approaches mostly used statistical data as their data resource.…”
Section: Relationship Between Sustainable Development and Afvsmentioning
confidence: 99%
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“…These studies have found that vehicle use dominates over the vehicle production phase regarding energy consumption and GHG emissions, particularly for fossil-based electricity mixes [8]. Some studies also addressed the influence of the charging profile in the GHG emissions of EVs, with some reporting that EV charging during off-peak hours results in lower emissions than in peak hours [9][10][11]. On the other hand, a smaller group of studies looked at EVs as a new load added to the electricity system and assessed how the system would respond to this change by determining the marginal electricity supply and corresponding emissions (e.g., [12][13][14][15]).…”
Section: Introductionmentioning
confidence: 99%