Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets

Melani, Arthur Henrique de Andrade; Murad, Carlos Alberto; Netto, Adherbal Caminada; Souza, Gilberto Francisco Martha de; Nabeta, Sílvio Ikuyo

doi:10.3390/en12101951

Cited by 24 publications

(23 citation statements)

References 44 publications

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“…Unaided maintenance management decisions can lead to delays and make maintenance more costly for organizations [12]. In addition to dealing with specialized labor and technical spare parts, maintenance can impact productivity due to the reliability and maintainability of physical assets [13,14]. Regarding hydroelectric power plants, unexpected failures of physical assets can lead to the interruption of energy generation.…”

Section: Support For Maintenance Decision-makingmentioning

confidence: 99%

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Deciding a Multicriteria Decision-Making (MCDM) Method to Prioritize Maintenance Work Orders of Hydroelectric Power Plants

et al. 2021

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The current global competitive scenario and the increase in complexity and automation of equipment and systems demand better results from maintenance management in organizations. As maintenance resources are limited, prioritizing maintenance activities is essential to allocate them properly and to meet maintenance management objectives. In the face of these challenges, multicriteria decision-making (MCDM) methods are commonly used in organizations to support decision-making. Nevertheless, selecting a suitable MCDM method for maintenance planning can be complicated given the diversity of methods and their strengths and weaknesses. In this context, this paper proposes a novel knowledge-based method for deciding a multicriteria decision-making (MCDM) method to prioritize maintenance work orders of hydroelectric plants. As the main novel contribution, it translates the intrinsic characteristics of the main MCDM methods into questions related to maintenance planning to guide the recommendation of a suitable MCDM method for organizations through a decision tree diagram. This approach was applied to a maintenance case study of a hydroelectric power plant in order to demonstrate its use and contribute to its understanding. These findings contribute to maintenance management in selecting an MCDM method aligned with the context of its maintenance planning for the prioritization of maintenance work orders.

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Section: Support For Maintenance Decision-makingmentioning

confidence: 99%

“…It does not provide how to determine the weights for the different criteria [26,27]. Energies 2021,14, 8281…”

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confidence: 99%

Deciding a Multicriteria Decision-Making (MCDM) Method to Prioritize Maintenance Work Orders of Hydroelectric Power Plants

et al. 2021

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“…Promising results in terms of minimizing the costs of system failure were already obtained in the maintenance strategy optimization of the cooling towers of a coal-fired power plant [15]. The authors increased the availability, reliability and performance of the plant's subsystem by defining the proper size of a repair team.…”

Section: Literature Overviewmentioning

confidence: 99%

Impact of Remediation-Based Maintenance on the Reliability of a Coal-Fired Power Plant Using Generalized Stochastic Petri Nets

2021

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Rapid changes in electricity power markets have increased the production costs of coal-fired power plants and pushed their production to the limits of profitability. For power plants currently in operation, a possible approach to cope with this issue is to introduce novel methods that increase the plant’s reliability and availability. Coal mills are a subsystem that should ensure a plant’s availability without unexpected breakdowns. Remediation-based maintenance is defined as a set of actions performed after fault detection that do not require instant shutdown due to safety reasons. The aim of this paper was to provide a scientific confirmation that by implementing a novel remediation-based maintenance strategy, electricity production breakdowns can be significantly reduced. First, the performance of the proposed maintenance method was proved in simulation where coal mills were modeled by generalized stochastic Petri nets. The maintenance strategy was then experimentally verified in a 220 MW coal-fired power plant located in Croatia, where the plant’s availability, reliability and efficiency were increased.

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“…Singh and Rajput (2018) proposed a methodology for analysis of non-liveness, deadlock, stability and throughput metrics by linear programming using PN modeling and validated by applying it on four different safety critical systems, running in six nuclear power plants. Melani et al (2019) used the GSPN to determine the number of maintenance teams required to maintain the required availability and performance of a coal-fired power plant cooling tower. A combination of dynamic fault tree and GSPN methods to address the common cause failure modes in the reliability analysis of complex system was formulated by Zeng et al (2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Availability modeling and estimation of Fluid Catalytic Cracking Unit using generalized Stochastic Petri Nets

Gurunathan

2020

IJQRM

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PurposeThe purpose of this paper to present a practical and systematic approach to estimate the availability of a process plant using generalized stochastic Petri nets (GSPNs). The actual live problem at a fluid catalytic cracking unit (FCCU) of a refinery is used to demonstrate this approach.Design/methodology/approachA majority of models used for estimation of availability of a complex system are based on the assumptions that the failure of the system is associated with only a few states, and the system does not face different operating conditions, repair actions and common-cause failures. In reality, this is often not the case. Therefore, it is necessary to construct more sophisticated models without such assumptions. In this paper, an attempt has been made to model interaction of component failures, partial failures of components and common-cause failures.FindingsThe superiority of this approach over other modeling approaches such as fault tree and Markov analysis is demonstrated. The proposed GSPN is a promising tool that can be conveniently used to model and analyze any complex systems.Practical implicationsGSPN was used to model the reactor-regenerator section of FCCU, which is quite a large system, which shows the strength of modeling capability. The use of Petri nets (PNs) for modeling complex systems for the purpose of availability assessment is demonstrated in this paper. Sensitivity analysis was also carried out for various subsystem/components.Originality/valueNo similar work has been conducted for FCCU using GSPN as per literature incorporating different operating conditions and common-cause failures. The understanding and usage of PNs require a steep learning curve for the practitioners, and this paper provides an approach to estimate availability measures for the complex system.

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Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets

Cited by 24 publications

References 44 publications

Deciding a Multicriteria Decision-Making (MCDM) Method to Prioritize Maintenance Work Orders of Hydroelectric Power Plants

Deciding a Multicriteria Decision-Making (MCDM) Method to Prioritize Maintenance Work Orders of Hydroelectric Power Plants

Impact of Remediation-Based Maintenance on the Reliability of a Coal-Fired Power Plant Using Generalized Stochastic Petri Nets

Availability modeling and estimation of Fluid Catalytic Cracking Unit using generalized Stochastic Petri Nets

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