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Cited by 41Thermodynamic and Exergetic Analyses of Power and Cooling SystemsAdvanced Power Generation TechnologiesIntegrated Energy Systems Optimization

Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit

Open access
Zhao, Guanjia, Cui, Zhipeng, Xu, Jing, Liu, Wenhao, Ma, Suxia·2022·Energy
DOI 10.1016/j.energy.2022.124492
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Crossref · 10.1016/j.energy.2022.124492

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2 of 2 references verified0 citation errors · 0 not checkable

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  • At the Shop Floor Level, Digital Twins are used for analysis and prediction, including machining process condition assessments and preventive maintenance planning for equipment.

    “At this level, Digital Twins are used for analysis and prediction, including machining process condition assessments [21] and preventive maintenance planning for equipment [22]”

    From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [21]

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Authors
Zhao, G., Cui, Z., Xu, J., Liu, W., & Ma, S.
Affiliations
Taiyuan University of Technology (CN)
Corresponding author
Xu, Jing
ORCID
Venue
Energy
Publisher
Elsevier BV
Published
2022-09
Volume
254
Pages
124492
ISSN
0360-5442 (ISSN-L)
DOI
10.1016/j.energy.2022.124492
OpenAlex
W4282578966
Cited by
41
References
2
Citations by year
2026: 11 · 2025: 8 · 2024: 7 · 2023: 13 · 2022: 2
FWCI
2.83
Type
journal article
Language
en
Open access
Licence
Locations
  • Energy (publishedVersion)
  • SSRN Electronic Journal (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Power Generation Technologies
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
Keywords
digital twin, hybrid modeling, flexible operation, thermal power plants, coal consumption reduction, CO2 emission reduction, extreme gradient boosting, particle swarm optimization, performance degradation

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