Evidence map›Paper›PMID 40753288›Full record

ArticleNature communications2025

Assessing the real implications for CO

Dhruv Suri, Jacques de Chalendar, Inês M L Azevedo

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. 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

3 authors.

Dhruv SuriDepartment of Energy Science & Engineering, Stanford University, Stanford, CA, USA. surid@stanford.edu.ORCID http://orcid.org/0009-0001-4778-2236
Jacques de ChalendarDepartment of Energy Science & Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-3586-199X
Inês M L AzevedoDepartment of Energy Science & Engineering, Stanford University, Stanford, CA, USA. iazevedo@stanford.edu.ORCID http://orcid.org/0000-0002-4755-8656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wind and solar electricity generation account for 14% of total electricity generation in the United States and are expected to continue to grow in the next decade. While increased renewable penetration reduces system-wide emissions, the intermittent nature of these resources disrupts conventional thermal plant operations. Generation displacement exhibits a nonlinear relationship, as thermal units forced to operate at suboptimal levels experience efficiency penalties. Here we show that as renewable generation rises, thermal plants often operate sub-optimally, increasing emissions when forced to respond to variability. Using hourly emissions and generation data from California and Texas, we find that solar and wind energy significantly reduce expected emissions under normal operating conditions - by 92.6% in California and 91.1% in Texas. However, if renewables force plants to operate inefficiently, emissions from natural gas and coal plants could increase by 12% to 26%. These results highlight the complex interactions between renewable energy growth and thermal plant emissions, indicating that careful management of renewables integration is crucial to minimizing overall system-level CO

Identifiers

PMID40753288
PMCPMC12318073

What OpenQuestion holds

Textmetadata
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.