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
Englisch

Erschienen in
Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 2 ; Year: 2009 ; Issue: 2 ; Pages: 387-406 ; Barcelona: OmniaScience

Klassifikation
Management
Thema
performance evaluation
probabilistic approach
transition diagram and availability matrices

Ereignis
Geistige Schöpfung
(wer)
Gupta, Sorabh
Tewari, Puran C.
Ereignis
Veröffentlichung
(wer)
OmniaScience
(wo)
Barcelona
(wann)
2009

DOI
doi:10.3926/jiem.2009.v2n2.p387-406
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Gupta, Sorabh
  • Tewari, Puran C.
  • OmniaScience

Entstanden

  • 2009

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