Evidence map›Paper›PMID 41054510›Full record

ArticleiScience2025

Unveiling cost reduction potential of carbon capture and storage clusters in China under multiple uncertainties.

Yaxian Wang, Jizhe Li, Xian Zhang, Kai Li, Jing-Li Fan, Xiaojuan Xiang, Yunbing Hou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yaxian WangCentre for Sustainable Development and Energy Policy Research, School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Jizhe LiThe Administrative Center for China's Agenda 21, Beijing 100038, China.
Xian ZhangThe Administrative Center for China's Agenda 21, Beijing 100038, China.
Kai LiCentre for Sustainable Development and Energy Policy Research, School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Jing-Li FanCentre for Sustainable Development and Energy Policy Research, School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Xiaojuan XiangCentre for Sustainable Development and Energy Policy Research, School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Yunbing HouCentre for Sustainable Development and Energy Policy Research, School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon capture and storage (CCS) plays a pivotal role in China's low-carbon power transition but faces high costs and multiple uncertainties related to technology, policy, and economics. CCS clusters, along with the associated hubs, offer an opportunity to tackle this issue. Therefore, a CCS cluster source-sink matching model was developed based on fuzzy possibility programming and interval linear programming methods under multiple uncertainties. The cluster layout, shared pipeline network, and cost reduction potential were explored. Results show that the North China, Northwest China, East China, and South China regions will be prioritized for the development of CCS cluster projects. Compared to "point-to-point" projects, CCS clusters have great potential to reduce pipeline lengths by [81.5%, 81.8%], and lower the plant-level levelized cost of CCS by [35.7%, 86.9%]. This study provides a system-wide insight for CCS cluster development and cost reduction assessment under multiple uncertainties.

Indexed as

Energy storageEnergy sustainabilityEnvironmental science

Identifiers

PMID41054510
PMCPMC12496210

What OpenQuestion holds

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LicenceCC BY
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.