Efficient Stochastic Model for Operational Availability Optimization of Cooling Tower Using Metaheuristic Algorithms

Metaheuristic algorithms are extensively utilized to find solutions and optimize complex industrial systems' performance. In this paper, metaheuristic algorithms are utilized to predict the optimum value of the operational availability of a cooling tower in a steam turbine power plant. These te...

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Vydáno v:	IEEE access Ročník 10; s. 24659 - 24677
Hlavní autoři:	Kumar, Ashish, Saini, Monika, Gupta, Nivedita, Sinwar, Deepak, Singh, Dilbag, Kaur, Manjit, Lee, Heung-No
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Availability Convergence Cooling cooling tower Cooling towers Critical components Difference equations Differential equations Failure analysis Failure rates genetic algorithm Genetic algorithms Heuristic methods Independent variables Markov modeling Markov processes Mathematical models Particle swarm optimization Poles and towers Power generation Power plants Power system reliability Random variables Reliability Repair Sensitivity analysis Steam electric power generation Steam turbines Stochastic models Subsystems Turbines
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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