Evidence map›Paper›PMID 41963514›Full record

ArticleScientific reports2026

Advancing sustainable thermal power plants: A thermodynamic-based condition monitoring model for control valves in gas turbines under thermal fluctuations.

Momeni Amir Hossein, Akilu Yunusa-Kaltungo, Noha A Mostafa

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Momeni Amir HosseinMechanical Engineering Department, Shiraz University, Shiraz, 7193616548, Iran.
Akilu Yunusa-KaltungoDepartment of Mechanical and Aerospace Engineering, Faculty of Science and Engineering (FSE), School of Engineering, The University of Manchester, Manchester, UK. akilu.kaltungo@manchester.ac.uk.
Noha A MostafaIndustrial Engineering Department, Faculty of Science and Engineering, Zagazig University, Zagazig, 44519, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise monitoring of control valve performance is essential for regulating combustion outlet temperature, minimising nitrogen oxides emissions, and maintaining stable combustion in natural gas turbines. This study examines the temperature variations of a natural gas flow control valve, taking into account changes in valve stem position and cross-sectional area within a gas turbine power plant. A unique model is introduced to regulate valve area variation and assess performance based on the correlation between upstream and downstream temperatures. The model elucidates the impact of fluctuations in the valve cross-sectional area on the downstream natural gas temperature, taking into account upstream temperature variations between 285.15 K and 305.15 K. The Joule-Thomson coefficient is obtained from thermodynamic equations by the AGA8-92DC numerical approach. The gas composition, inversion characteristics, upstream and downstream temperature differentials, and the temperature gradient relative to the valve cross-sectional area were computed for two samples of natural gas and pure methane. The results demonstrate the differences in upstream and downstream temperatures at two pressure levels (2 MPa and 5.4 MPa). The comprehension of the temperature differential between the upstream and downstream areas can act as a crucial metric for condition monitoring and assessing the efficacy of fuel injection in control valves.

Indexed as

Combustion processControl valveNatural gasStatistical condition monitoringThermal power plant

Identifiers

PMID41963514
PMCPMC13199456

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.