Performance evaluation methodology for gas turbine power plants using graph theory and combinatorics

The design performance of real-time operating gas turbine power plants (GTPPs) deteriorates in terms of efficiency, reliability, and commercial availability due to aging, rubbing, contamination, and other similar problems. A manager minimizes operation and maintenance (O&M) expenses, consociatin...

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Vydané v:International journal of hydrogen energy Ročník 57; s. 1286 - 1301
Hlavní autori: Dev, Nikhil, Kumar, Raman, Saha, Rajeev Kumar, Babbar, Atul, Simic, Vladimir, Bacanin, Nebojsa
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 29.02.2024
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ISSN:0360-3199, 1879-3487
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Abstract The design performance of real-time operating gas turbine power plants (GTPPs) deteriorates in terms of efficiency, reliability, and commercial availability due to aging, rubbing, contamination, and other similar problems. A manager minimizes operation and maintenance (O&M) expenses, consociating about the function of its basic structure (i.e., layout and design), availability (maintenance aspects), operation efficiency (trained workforce), safety and security, and other regulatory elements. Understanding plant structure improves performance, economical design, maintenance planning, etc. For a better understanding of design, a technique comprising graph theory, matrix method, and combinatorics is developed to determine the performance of GTPP. Detailed methodology for developing a system structure graph, various system structure matrices, and their permanent functions are described for the GTPP. For accessible and appropriate performance analysis, GTPP is divided into seven sub-systems. Structural interconnections between seven sub-systems of GTPP are as per real-time GTPP. The gas turbine system structure is developed in the form of a digraph. Matrix representation corresponding to digraph representation is developed, which is processed with the help of combinatorics. With the help of a computer programming tool developed in C++ for calculating the permanent of a matrix, the result comes out as a numerical value called the GTPP index. The methodology applied in the present work can be incorporated with standard computer programming tools developed for the performance assessment. In this way, it is easy to assess the dynamic behavior of the gas turbine system, as the methodology of the present work can incorporate tangible and intangible factors. Results obtained from the present methods agree with the available information in the literature. •The framework for exploring the dynamic behaviour of gas turbine systems is presented.•Graph theory, matrix method, and combinatorics are united into a single methodology.•Evaluations of efficiency, reliability, availability and maintainability are offered.•Recommendations for the ERAM evaluation of gas turbine systems are provided.
AbstractList The design performance of real-time operating gas turbine power plants (GTPPs) deteriorates in terms of efficiency, reliability, and commercial availability due to aging, rubbing, contamination, and other similar problems. A manager minimizes operation and maintenance (O&M) expenses, consociating about the function of its basic structure (i.e., layout and design), availability (maintenance aspects), operation efficiency (trained workforce), safety and security, and other regulatory elements. Understanding plant structure improves performance, economical design, maintenance planning, etc. For a better understanding of design, a technique comprising graph theory, matrix method, and combinatorics is developed to determine the performance of GTPP. Detailed methodology for developing a system structure graph, various system structure matrices, and their permanent functions are described for the GTPP. For accessible and appropriate performance analysis, GTPP is divided into seven sub-systems. Structural interconnections between seven sub-systems of GTPP are as per real-time GTPP. The gas turbine system structure is developed in the form of a digraph. Matrix representation corresponding to digraph representation is developed, which is processed with the help of combinatorics. With the help of a computer programming tool developed in C++ for calculating the permanent of a matrix, the result comes out as a numerical value called the GTPP index. The methodology applied in the present work can be incorporated with standard computer programming tools developed for the performance assessment. In this way, it is easy to assess the dynamic behavior of the gas turbine system, as the methodology of the present work can incorporate tangible and intangible factors. Results obtained from the present methods agree with the available information in the literature. •The framework for exploring the dynamic behaviour of gas turbine systems is presented.•Graph theory, matrix method, and combinatorics are united into a single methodology.•Evaluations of efficiency, reliability, availability and maintainability are offered.•Recommendations for the ERAM evaluation of gas turbine systems are provided.
Author Bacanin, Nebojsa
Babbar, Atul
Kumar, Raman
Saha, Rajeev Kumar
Simic, Vladimir
Dev, Nikhil
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crossref_primary_10_3390_electronics13152952
crossref_primary_10_1016_j_ijthermalsci_2025_109723
crossref_primary_10_1007_s11761_024_00426_7
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Sat Nov 29 07:24:02 EST 2025
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Keywords Graph theory
Gas turbine system performance
Combinatorics
Decision making
Efficiency
Gas turbine power plant
Language English
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Snippet The design performance of real-time operating gas turbine power plants (GTPPs) deteriorates in terms of efficiency, reliability, and commercial availability...
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StartPage 1286
SubjectTerms Combinatorics
Decision making
Efficiency
Gas turbine power plant
Gas turbine system performance
Graph theory
Title Performance evaluation methodology for gas turbine power plants using graph theory and combinatorics
URI https://dx.doi.org/10.1016/j.ijhydene.2024.01.064
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