TY - JOUR A1 - Sýkora, Miroslav A1 - Markova, Jana A1 - Diamantidis, Dimitris T1 - Bayesian network application for the risk assessment of existing energy production units T2 - Reliability Engineering & System Safety N2 - The assessment of existing infrastructures in the energy sector is of great economic significance worldwide. Fossil power stations are reaching their design service life and rational decisions concerning extensions of service life, maintenance and replacements of devices should be based on updated information of the actual conditions of the energy devices and their components, and on cost-benefit analysis using risk analysis and probabilistic optimisation procedures. The contribution provides an integrated framework for probabilistic reliability and risk assessment of existing energy production units considering availability and human safety criteria. An extensive case study focused on risks of an energy production unit in a fossil power station is provided to support practical applications. A Bayesian network is thereby implemented to assess the risks of the selected production unit. Special emphasis is given to the input data consisting of failure rates obtained from recorded data and expert judgements. The influence of uncertainties in the considered performance indicators on the availability of the unit is analysed. It is shown that a reasonably simplified framework can provide a valuable assessment of the influence of individual devices and their components on availability and societal risk, identifying thus the major risk contributors. (C) 2017 Elsevier Ltd. All rights reserved. KW - Availability KW - Bayesian networks KW - Decision-making KW - design KW - Failure probability KW - FRAMEWORK KW - Optimization KW - Production unit KW - Risk analysis KW - Societal risk KW - SYSTEMS KW - Uncertainties Y1 - 2018 UR - https://opus4.kobv.de/opus4-oth-regensburg/frontdoor/index/index/docId/3093 VL - 169 IS - January SP - 312 EP - 320 PB - Elsevier ER -