Evidence map›Paper›PMID 41253808›Full record

ArticleNature communications2025

Unlocking vehicle-to-grid potential of load shifting in China's megacities considering comprehensive real-world behaviors.

Kaisan Li, Xinxin Li, Zuxun Xiong, Shengyu Tao, Gucheng Zhao, Yi Jiang, He Qi, Yi Zhang

Abstract read
In one paragraph

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kaisan LiTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.ORCID http://orcid.org/0009-0007-0594-4106
Xinxin LiTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
Zuxun XiongDepartment of Engineering Science, University of Oxford, Oxford, UK.
Shengyu TaoTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.ORCID http://orcid.org/0000-0001-5249-432X
Gucheng ZhaoTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
Yi JiangTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.ORCID http://orcid.org/0000-0003-0678-5139
He QiChina Construction Science and Technology Group Co. Ltd, Beijing, China.
Yi ZhangTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China. zy1214@sz.tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-2662-7699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global decarbonization necessitates large-scale electrification, bringing load stability challenges to urban grids. While Vehicle-to-grid (V2G) technology using private plug-in electric vehicles (P-PEVs) can balance the loads, its potential at megacity-level remains unclear due to the complexity of fine-grained, user-centric modelling. Here, we propose a Mobility and V2G Coupled (MOVC) framework, which depicts individual P-PEV travel-charge behaviors and evaluates user V2G concerns regarding willingness, compensation, and battery degradation. The framework analyzes 480,000 P-PEVs in Shenzhen, China, revealing a 2300 MW peak-shaving capacity, reducing peak-valley ratios by 73%. V2G strategies that prioritize user satisfaction hardly sacrifice the load shifting performance, but reduce battery degradation costs and compensation costs by 30-40% and 5-13% respectively. A forward-looking scenario considering fully-deployed quick charging (QC) in four China's megacities reveals 0%-12% lower peak-valley ratios with more inequal V2G scheduling (4%-95% higher standard deviation). This study enlightens megacity-level V2G potential evaluations and their policy-making considering real-world behaviors.

Identifiers

PMID41253808
PMCPMC12627684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.