Evidence map›Paper›PMID 37875510›Full record

ArticleScientific reports2023

Sustainable development pathways for energies in Yangtze River Delta urban agglomeration.

Chao Xu, Da Xie, Chenghong Gu, Pengfei Zhao, Xitian Wang, Yanjia Wang

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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

6 authors.

Chao XuDepartment of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Da XieDepartment of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. xieda@sjtu.edu.cn.
Chenghong GuDepartment of Electronic and Electrical Engineering, University of Bath, Bath, BA27AY, UK.
Pengfei ZhaoInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Xitian WangDepartment of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yanjia WangDepartment of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sustainable development of urban agglomerations plays a pivotal role in national and global efforts to reduce emissions. By focusing on the efficient exchange and optimization of energy consumption across various sectors, the sustainable development of energy systems within urban agglomerations can be achieved. However, the overall impact of the cross-sector energy optimization and complementarity has not been quantitatively analyzed. Here, we focused on the Yangtze River Delta (YRD) urban agglomeration in China and proposed an optimization framework for energy, environment, and economy. The framework considered four sectors: transportation sector, power sector, industry sector, and building sector, in order to determine the most sustainable development pathway for the urban agglomeration. The optimization model considers total costs and greenhouse gas emissions reduction as the objectives and utilizes technologies as constraints to optimize the pathway. We found that this optimization strategy resulted in a 53.1 billion tons increase in CO

Identifiers

PMID37875510
PMCPMC10598035

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.