Risk-based decision making method for maintenance policy selection of thermal power plant equipment
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
---|---|
Data(s) |
18/10/2012
18/10/2012
2010
|
Resumo |
This study presents a decision-making method for maintenance policy selection of power plants equipment. The method is based on risk analysis concepts. The method first step consists in identifying critical equipment both for power plant operational performance and availability based on risk concepts. The second step involves the proposal of a potential maintenance policy that could be applied to critical equipment in order to increase its availability. The costs associated with each potential maintenance policy must be estimated, including the maintenance costs and the cost of failure that measures the critical equipment failure consequences for the power plant operation. Once the failure probabilities and the costs of failures are estimated, a decision-making procedure is applied to select the best maintenance policy. The decision criterion is to minimize the equipment cost of failure, considering the costs and likelihood of occurrence of failure scenarios. The method is applied to the analysis of a lubrication oil system used in gas turbines journal bearings. The turbine has more than 150 MW nominal output, installed in an open cycle thermoelectric power plant. A design modification with the installation of a redundant oil pump is proposed for lubricating oil system availability improvement. (C) 2009 Elsevier Ltd. All rights reserved. |
Identificador |
Energy, v.35, n.2, special issue, p.964-975, 2010 0360-5442 http://producao.usp.br/handle/BDPI/18336 10.1016/j.energy.2009.06.054 |
Idioma(s) |
eng |
Publicador |
PERGAMON-ELSEVIER SCIENCE LTD |
Relação |
Energy |
Direitos |
restrictedAccess Copyright PERGAMON-ELSEVIER SCIENCE LTD |
Palavras-Chave | #Availability #Risk analysis #Decision making #Gas turbines #RELIABILITY #OPERATION #Thermodynamics #Energy & Fuels |
Tipo |
article proceedings paper publishedVersion |