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

Jakov Batelić, Karlo Griparić and Dario Matika
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Jakov Batelić: HEP Generation, Plomin Luka 50, 52234 Zagreb, Croatia
Karlo Griparić: Department of Engineering, Juraj Dobrila University of Pula, Zagrebacka 30, 52000 Pula, Croatia
Dario Matika: Mechanical Engineering, Zagreb University of Applied Sciences, Vrbik 8, 10000 Zagreb, Croatia

Energies, 2021, vol. 14, issue 18, 1-14

Abstract: 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.

Keywords: reliability; availability; preventive maintenance; coal mills; generalized stochastic Petri net (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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