Reliability modeling and availability analysis of combined cycle power plants

Sabouhi, Hamed; Abbaspour, Ali; Fotuhi‐Firuzabad, Mahmud; Dehghanian, Payman

doi:10.1016/j.ijepes.2016.01.007

Cited by 77 publications

(39 citation statements)

References 40 publications

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“…The authors mostly stress the need to consider the dependence of different forms of energy and propose a combined Monte Carlo and Markov chain-based approach [13]. Sabouhi et al [14] refer to power plants to present a reliability model aimed at optimizing maintenance strategies and also highlight how system reliability must take into account data related to system critical components. Pang et al [15] apply a failure mechanism analysis to the main critical components of an aircraft to understand how the reliability of the system could be affected.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

k-out-of-n systems: An exact formula for the stationary availability and multi-objective configuration design based on mathematical programming and TOPSIS

Carpitella

Certa

Izquierdo

et al. 2018

Journal of Computational and Applied Mathematics

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Reliability and availability analyses are recognized as essential for guiding decision makers in the implementation of actions addressed to improve the technical and economical performance of complex systems. For industrial systems with reparable components, the most interesting parameter used to drive maintenance is the stationary availability. In this regard, the present paper proposes an exact formula for computing the system stationary availability of a k-out-of-n system. Such a formula is proved to be in agreement with the fundamental theorem of Markov chains. Then, a multiobjective mathematical model is formulated for choosing the optimal system configuration design. The Pareto front is developed using the Lexicographic Goal Programming (LGP) method, and the TOPSIS method is successively implemented to choose the k-out-of-n configuration that represents the best compromise between the considered objective functions. A numerical example is provided.

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Section: Introduction and Literature Reviewmentioning

confidence: 99%

k-out-of-n systems: An exact formula for the stationary availability and multi-objective configuration design based on mathematical programming and TOPSIS

Carpitella

Certa

Izquierdo

et al. 2018

Journal of Computational and Applied Mathematics

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show abstract

“…Only a few articles to date have studied the component reliability of the power generation plant, cogeneration system, and CCHP system. Sabouhi et al [24] mentioned a reliability model to assess the combined cycle power generation plants and applied it to a reliability analysis for gas turbine power plants and steam turbine power plants. The reliability of components was used to compute the system availability and the study compared the availability, but did not mention the importance of maintenance regarding the components in one system.…”

Section: Introductionmentioning

confidence: 99%

Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems

et al. 2018

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A combined cooling, heating, and power (CCHP) system is a complex and repairable system containing a large number of components and series of subsystems. When a failure occurs in one component, it might cause a failure of a subsystem or whole system. Traditional maintenance methods might lead to the waste of maintenance resources and a high cost of maintenance. The reliability and maintenance prioritization analyses can help managers optimize maintenance strategies and reduce the total cost. A reliability importance index is one of the factors in maintenance prioritization analysis. This paper aims at selecting the component reliability importance indices to identify the priority of component maintenance of a CCHP system from the perspective of maintenance cost. Failure cost importance index (FCI) and Potential failure cost importance index (PI) are developed for the maintenance prioritization analysis of a CCHP system. A Markov model based on the state-space method (SSM) is used to analyze the reliability and availability of a CCHP system. A set of actual survey reliability data of CCHP systems is used to support the validity of the reliability importance indices. The results indicate that the FCI and PI might lead to different rankings of maintenance prioritization. The FCI and PI will help managers make a reasonable decision for maintenance on a cost basis.

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“…They focused mainly on coherent systems and series connection of k-out-of-n stand by subsystems with exponentially distributed component lifetimes. Sabouhi et al (2016) discussed the Reliability modeling and Availability analysis of combined cycle power plants (CCPP). Kumar et al (2017) dealt the performance analysis and optimization for Carbonated Soft Drink Glass Bottle (CSDGB) filling system of a beverage plant using Particle Swarm Optimization (PSO) approach.…”

Section: Introductionmentioning

confidence: 99%

Parameters optimization of fabric finishing system of a textile industry using teaching–learning-based optimization algorithm

Kumar¹,

Tewari²,

Khanduja³

2018

10.5267/j.ijiec

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In the present work, a recently developed advanced optimization algorithm named as teaching-learning-based optimization (TLBO) is used for the parameters optimization of fabric finishing system of a textile industry. Fabric Finishing System has four main subsystems, arranged in hybrid configuration. For performance modeling and analysis of availability, a performance evaluating model of fabric finishing system has been developed with the help of mathematical formulation based on Markov-Birth-Death process using Probabilistic Approach. Then, the overall performance of the concerned system has first analyzed and then, optimized by using teaching-learning-based optimization (TLBO). The results of optimization using the proposed algorithm are validated by comparing with those obtained by using the genetic algorithm (GA) on the same system. Improvement in the results is obtained by the proposed algorithm. The results of effect of variation of the algorithm parameters on fitness values of the objective function are reported.

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Reliability modeling and availability analysis of combined cycle power plants

Cited by 77 publications

References 40 publications

k-out-of-n systems: An exact formula for the stationary availability and multi-objective configuration design based on mathematical programming and TOPSIS

k-out-of-n systems: An exact formula for the stationary availability and multi-objective configuration design based on mathematical programming and TOPSIS

Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems

Parameters optimization of fabric finishing system of a textile industry using teaching–learning-based optimization algorithm

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