ArticleNature communications2025
Cascading marginal emissions signals for green charging with growing electric vehicle adoption.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- CBAM-YOLOv11 and Geometric Constraint-Enhanced PnP for High-Precision EV Charging Port Pose Estimation.Sensors (Basel, Switzerland) · 2026Article
- Decentralized electric vehicle charging enables large-scale photovoltaic integration in tropical cities.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Shifting electric vehicle charging to use cleaner electricity can reduce carbon dioxide emissions. Grid emissions factors can inform when to shift demand, but key assumptions behind existing emissions factor methods fail for today's grids and electric vehicle adoption levels. We combine real charging data with a Western U.S. grid model to test these methods under increasing electric vehicle adoption. We find that following existing average and marginal emissions factor methods to manage charging can inadvertently increase grid emissions when emissions factor signals are noisy, too many electric vehicles follow the same signal, or when high-emitting generators respond. We instead propose an alternative Cascading marginal emissions factor strategy that manages charging in smaller groups. We show that the Cascading strategy reduces added emissions by 10-28% across grid scenarios for at least 2 million electric vehicles. Our research reveals how demand response methods must change to reduce emissions and support the grid transition under wider electric vehicle adoption.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.