Artikel
Simulation modeling and analysis of a complex system of a thermal power plant
The present paper deals with the opportunities for the modeling of flue gas and air system of a thermal power plant by making the performance evaluation using probabilistic approach. The present system of thermal plant under study consists of four subsystems with three possible states: full working, reduced capacity working and failed. Failure and repair rates for all the subsystems are assumed to be constant. Formulation of the problem is carried out using Markov Birth-Death process using probabilistic approach and a transition diagram represents the operational behavior of the system. Interrelationship among the full working and reduced working has been developed. A probabilistic model has been developed, considering some assumptions. Data in feasible range are selected from a survey of thermal plant and the effect of each subsystem on the system availability is tabulated in the form of availability matrices, which provides various performance/availability levels for different combinations of failure and repair rates of all subsystems. Based upon various availability values obtained in availability matrices and graphs of failure/repair rates of different subsystems, performance and optimum values of failure/repair rates for maximum availability, of each subsystem is analyzed and then maintenance priorities are decided for all subsystems.
- Sprache
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Englisch
- Erschienen in
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Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 2 ; Year: 2009 ; Issue: 2 ; Pages: 387-406 ; Barcelona: OmniaScience
- Klassifikation
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Management
- Thema
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performance evaluation
probabilistic approach
transition diagram and availability matrices
- Ereignis
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Geistige Schöpfung
- (wer)
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Gupta, Sorabh
Tewari, Puran C.
- Ereignis
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Veröffentlichung
- (wer)
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OmniaScience
- (wo)
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Barcelona
- (wann)
-
2009
- DOI
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doi:10.3926/jiem.2009.v2n2.p387-406
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Gupta, Sorabh
- Tewari, Puran C.
- OmniaScience
Entstanden
- 2009