LAPSE:2023.34330
Published Article
LAPSE:2023.34330
Progress in Modeling and Control of Gas Turbine Power Generation Systems: A Survey
April 25, 2023
This paper reviews the modeling techniques and control strategies applied to gas turbine power generation plants. Recent modeling philosophies are discussed and the state-of-the-art feasible strategies for control are shown. Research conducted in the field of modeling, simulation, and control of gas turbine power plants has led to notable advancements in gas turbines’ operation and energy efficiency. Tracking recent achievements and trends that have been made is essential for further development and future research. A comprehensive survey is presented here that covers the outdated attempts toward the up-to-date techniques with emphasis on different issues and turbines’ characteristics. Critical review of the various published methodologies is very useful in showing the importance of this research area in practical and technical terms. The different modeling approaches are classified and each category is individually investigated by reviewing a considerable number of research articles. Then, the main features of each category or approach is reported. The modern multi-variable control strategies that have been published for gas turbines are also reviewed. Moreover, future trends are proposed as recommendations for planned research.
Keywords
gas turbine, intelligent control, intelligent modeling, mathematical modeling, power plant, predictive control, system identification
Suggested Citation
Mohamed O, Khalil A. Progress in Modeling and Control of Gas Turbine Power Generation Systems: A Survey. (2023). LAPSE:2023.34330
Author Affiliations
Mohamed O: King Abdullah II School of Engineering, Princess Sumaya University for Technology, Amman 11941, Jordan [ORCID]
Khalil A: Electrical and Electronic Engineering Department, Universiti Teknologi Brunei, Jalan Tungku Link, Gadong BE1410, Brunei Darussalam [ORCID]
Journal Name
Energies
Volume
13
Issue
9
Article Number
E2358
Year
2020
Publication Date
2020-05-08
Published Version
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13092358, Publication Type: Review
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LAPSE:2023.34330
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doi:10.3390/en13092358
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Apr 25, 2023
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CC BY 4.0
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Apr 25, 2023
 
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