Comparative Analysis between Profits of the Two Models of a CC Plant

Mathew, Angel; Rizwan, S. M.; Majumder, M. C.; Ramachandran, K. P.; Taneja, Gulshan; Paruya, Swapan; Kar, Samarjit; Roy, Suchismita

doi:10.1063/1.3516306

Cited by 7 publications

(3 citation statements)

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“…Rizwan et al [1] discussed a PLC system with hot standby. Mathew et al [2]- [6] further studied the CC plant with scheduled maintenance, various installed capacities, and performed a comparison between the profits of two models of the plant. Padmavathi et al [24] extensively studied the reliability of a cable plant with various maintenance types, storage of surplus yield, seasonal operating strategies, and performed a comparative study among the profits of three models of the plant.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis Between Two Reliability Models of a Three-Unit Complex Industrial System

Taj,

Rizwan

2024

J. Multidiscip. Appl. Nat. Sci.

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A comparative analysis between two reliability models of a three-unit complex industrial system has been presented in this paper. Previously, real failure-maintenance data of a three-unit complex industrial system were collected. The situations depicted in the data were used for developing two appropriate reliability models for the system. Important reliability indicators of the system were estimated by applying Semi-Markov and regenerative processes. Here, a comparison between the reliability indices and profits of the two models is performed, which helps in identifying the suitability of one model over the other. Cut-off points for profits based on costs, revenues, and failure rates have also been obtained for deciding which of the two models is more profitable. Graphical analysis is also presented to illustrate the outcomes.

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Section: Introductionmentioning

confidence: 99%

Comparative Analysis Between Two Reliability Models of a Three-Unit Complex Industrial System

Taj,

Rizwan

2024

J. Multidiscip. Appl. Nat. Sci.

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“…Also, it necessitates the concept of redundancy for power sources available for industry. Parashar and Taneja (2007) and Mathew et al (2010) have worked on different types of redundant systems. Huang and Xu (2010) formed a closed-form expression to evaluate the lifetime reliability of k out of n load-sharing redundant systems.…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis of captive power plant system where the working of standby unit depends on connecting unit

Sharma¹,

Singh²

2022

Int. j. adv. appl. sci.

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Captive power plants usually operate parallel to the gridline to overcome the losses associated with power failures. While the connectivity of the power plant and gridline highly depends on the functioning of the electrical breaker. This study reveals the importance of connecting device breakers in a captive power plant to operate the system at full or reduced capacity and safer it from reverse feeding. Using semi-Markov processes reliability model is developed for steam turbine generators interconnected with gridline by an electric breaker. The expressions are formed for reliability measures like mean time to system failure, availability, busy period, and profit using regenerative point techniques. Also, these measures are evaluated numerically using an actual dataset belonging to a captive power plant. Graphical plotting shows a decline in profit with increasing the failure rates of turbine generators, gridline, and working probability of breaker. The revenue per unit uptime of the system is forecasted to get productive profit with different failure rates of the power generator.

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“…Rizwan et al [6]- [12] analyzed cold and hot standby systems with single-unit and two-units under different failure and repair situations and the some important reliability indices are obtained along with the cost benefit analysis of the systems. Mathew et al [13]- [19] extensively analyzed the continuous casting plant and studied the variations under different operating conditions of the plant. Detailed analysis was reported for desalination plant by Padmavathi et al [20] with online repair under emergency shutdowns, Rizwan et al [21] with repair/maintenance strategy on first come first served basis, Padmavathi et al [22]- [26] continued on desalination plant with priority for repair over maintenance, comparative analysis between the plant models, analysis under major and minor failures consideration, analysis by prioritizing repair over maintenance under major / minor failures, and comparative analysis between the plant models portraying two operating conditions of the plant as to which model is better than the other.…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis of a subsystem in aluminium industry plant

Rahbi

Rizwan

Alkali

et al. 2017

2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

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The paper deals with a specific subsystem analysis called butt shot blast station of an Aluminium plant, as the subsystem performance contribute to the entire functioning of the plant. Six years' maintenance data on failures, repairs and various associated costs are collected for the purpose of this analysis. Three types of maintenances noted for the subsystem viz., corrective maintenance, inspection as proactive maintenance and service on requirement. Measures of subsystem effectiveness such as mean time to subsystem failure, availability of the system, busy period analysis and expected number of visit by the repairman for repair have been obtained. Semi-Markov processes and regenerative point techniques are used in this analysis.

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Comparative Analysis between Profits of the Two Models of a CC Plant

Cited by 7 publications

References 0 publications

Comparative Analysis Between Two Reliability Models of a Three-Unit Complex Industrial System

Comparative Analysis Between Two Reliability Models of a Three-Unit Complex Industrial System

Reliability analysis of captive power plant system where the working of standby unit depends on connecting unit

Reliability analysis of a subsystem in aluminium industry plant

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