Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets
Determining the ideal size of maintenance staff is a daunting task, especially in the operation of large and complex mechanical systems such as thermal power plants. On the one hand, a significant investment in maintenance is necessary to maintain the availability of the system. On the other hand, i...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-05-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/10/1951 |
| _version_ | 1828137789939515392 |
|---|---|
| author | Arthur H.A. Melani Carlos A. Murad Adherbal Caminada Netto Gilberto F.M. Souza Silvio I. Nabeta |
| author_facet | Arthur H.A. Melani Carlos A. Murad Adherbal Caminada Netto Gilberto F.M. Souza Silvio I. Nabeta |
| author_sort | Arthur H.A. Melani |
| collection | DOAJ |
| description | Determining the ideal size of maintenance staff is a daunting task, especially in the operation of large and complex mechanical systems such as thermal power plants. On the one hand, a significant investment in maintenance is necessary to maintain the availability of the system. On the other hand, it can significantly affect the profit of the plant. Several mathematical modeling techniques have been used in many different ways to predict and improve the availability and reliability of such systems. This work uses a modeling tool called generalized stochastic Petri net (GSPN) in a new way, aiming to determine the effect that the number of maintenance teams has on the availability and performance of a coal-fired power plant cooling tower. The results obtained through the model are confronted with a thermodynamic analysis of the cooling tower that shows the influence of this system’s performance on the efficiency of the power plant. Thus, it is possible to determine the optimal size of the repair team in order to maximize the plant’s performance with the least possible investment in maintenance personnel. |
| first_indexed | 2024-04-11T18:25:32Z |
| format | Article |
| id | doaj.art-a4fe53575a884e8e8780f62027179ee1 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T18:25:32Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a4fe53575a884e8e8780f62027179ee12022-12-22T04:09:37ZengMDPI AGEnergies1996-10732019-05-011210195110.3390/en12101951en12101951Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri NetsArthur H.A. Melani0Carlos A. Murad1Adherbal Caminada Netto2Gilberto F.M. Souza3Silvio I. Nabeta4Mechatronics and Mechanical System Engineering Department, Polytechnic School of the University of São Paulo, São Paulo 05508-030, BrazilMechatronics and Mechanical System Engineering Department, Polytechnic School of the University of São Paulo, São Paulo 05508-030, BrazilMechatronics and Mechanical System Engineering Department, Polytechnic School of the University of São Paulo, São Paulo 05508-030, BrazilMechatronics and Mechanical System Engineering Department, Polytechnic School of the University of São Paulo, São Paulo 05508-030, BrazilEnergy and Electrical Automation Department, Polytechnic School of the University of São Paulo, São Paulo 05508-010, BrazilDetermining the ideal size of maintenance staff is a daunting task, especially in the operation of large and complex mechanical systems such as thermal power plants. On the one hand, a significant investment in maintenance is necessary to maintain the availability of the system. On the other hand, it can significantly affect the profit of the plant. Several mathematical modeling techniques have been used in many different ways to predict and improve the availability and reliability of such systems. This work uses a modeling tool called generalized stochastic Petri net (GSPN) in a new way, aiming to determine the effect that the number of maintenance teams has on the availability and performance of a coal-fired power plant cooling tower. The results obtained through the model are confronted with a thermodynamic analysis of the cooling tower that shows the influence of this system’s performance on the efficiency of the power plant. Thus, it is possible to determine the optimal size of the repair team in order to maximize the plant’s performance with the least possible investment in maintenance personnel.https://www.mdpi.com/1996-1073/12/10/1951generalized stochastic Petri netGSPNreliabilityavailabilitymaintenancecooling tower |
| spellingShingle | Arthur H.A. Melani Carlos A. Murad Adherbal Caminada Netto Gilberto F.M. Souza Silvio I. Nabeta Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets Energies generalized stochastic Petri net GSPN reliability availability maintenance cooling tower |
| title | Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets |
| title_full | Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets |
| title_fullStr | Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets |
| title_full_unstemmed | Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets |
| title_short | Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets |
| title_sort | maintenance strategy optimization of a coal fired power plant cooling tower through generalized stochastic petri nets |
| topic | generalized stochastic Petri net GSPN reliability availability maintenance cooling tower |
| url | https://www.mdpi.com/1996-1073/12/10/1951 |
| work_keys_str_mv | AT arthurhamelani maintenancestrategyoptimizationofacoalfiredpowerplantcoolingtowerthroughgeneralizedstochasticpetrinets AT carlosamurad maintenancestrategyoptimizationofacoalfiredpowerplantcoolingtowerthroughgeneralizedstochasticpetrinets AT adherbalcaminadanetto maintenancestrategyoptimizationofacoalfiredpowerplantcoolingtowerthroughgeneralizedstochasticpetrinets AT gilbertofmsouza maintenancestrategyoptimizationofacoalfiredpowerplantcoolingtowerthroughgeneralizedstochasticpetrinets AT silvioinabeta maintenancestrategyoptimizationofacoalfiredpowerplantcoolingtowerthroughgeneralizedstochasticpetrinets |