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,...
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Format: | Article |
Language: | English |
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OmniaScience
2009-09-01
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Series: | Journal of Industrial Engineering and Management |
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Online Access: | http://www.jiem.org/index.php/jiem/article/view/63 |
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author | Sorabh Gupta Puran C. Tewari |
author_facet | Sorabh Gupta Puran C. Tewari |
author_sort | Sorabh Gupta |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-11T23:12:21Z |
format | Article |
id | doaj.art-b8c6bcd02bcc423fb4d6d314010010d3 |
institution | Directory Open Access Journal |
issn | 2013-8423 2013-0953 |
language | English |
last_indexed | 2024-04-11T23:12:21Z |
publishDate | 2009-09-01 |
publisher | OmniaScience |
record_format | Article |
series | Journal of Industrial Engineering and Management |
spelling | doaj.art-b8c6bcd02bcc423fb4d6d314010010d32022-12-22T03:57:46ZengOmniaScienceJournal of Industrial Engineering and Management2013-84232013-09532009-09-012238740610.3926/jiem..v2n2.p387-40634Simulation modeling and analysis of a complex system of a thermal power plantSorabh Gupta0Puran C. Tewari1Haryana College of Technology & ManagementNational Institute of TechnologyThe 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.http://www.jiem.org/index.php/jiem/article/view/63performance evaluation, probabilistic approach, transition diagram and availability matrices |
spellingShingle | Sorabh Gupta Puran C. Tewari Simulation modeling and analysis of a complex system of a thermal power plant Journal of Industrial Engineering and Management performance evaluation, probabilistic approach, transition diagram and availability matrices |
title | Simulation modeling and analysis of a complex system of a thermal power plant |
title_full | Simulation modeling and analysis of a complex system of a thermal power plant |
title_fullStr | Simulation modeling and analysis of a complex system of a thermal power plant |
title_full_unstemmed | Simulation modeling and analysis of a complex system of a thermal power plant |
title_short | Simulation modeling and analysis of a complex system of a thermal power plant |
title_sort | simulation modeling and analysis of a complex system of a thermal power plant |
topic | performance evaluation, probabilistic approach, transition diagram and availability matrices |
url | http://www.jiem.org/index.php/jiem/article/view/63 |
work_keys_str_mv | AT sorabhgupta simulationmodelingandanalysisofacomplexsystemofathermalpowerplant AT puranctewari simulationmodelingandanalysisofacomplexsystemofathermalpowerplant |