Evidence map›Paper›PMID 42491561›Full record

ArticleiScience2026

The technical utilization solutions for curtailment during China's rapid expansion of wind and PV power.

Libo Zhang, Huan Zhang, Haobo Ren, Pengcheng Tang, Qunwei Wang, Dequn Zhou

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Libo ZhangResearch Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Huan ZhangResearch Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Haobo RenResearch Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Pengcheng TangResearch Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Qunwei WangResearch Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Dequn ZhouResearch Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continued rapid growth of installed capacity for wind and PV power in China, the challenge of wind and PV power curtailment has become increasingly pressing. This study quantifies the spatiotemporal distributions and evolving trends of wind and PV curtailment for 31 provinces in China. The ridge regression-based model is developed to forecast provincial consumption capacities for 2030 and 2035. Using technology readiness level, levelized cost of utilization, and life cycle carbon emission, four power utilization technologies are evaluated. Building on this assessment, and subject to engineering, economic, and policy constraints, the mixed-integer programming model is formulated to minimize total utilization cost. This model identifies the optimal combination of the five utilization pathways for provinces with high projected curtailment in 2030 and 2035. The findings of this paper can provide decision-making references for selecting technical solutions and formulating policies to promote the utilization of wind and PV power.

Indexed as

photovoltaic powerpower consumption projectionpower curtailmentutilization technologies assessmentwind power

Identifiers

PMID42491561
PMCPMC13378348

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.