DocumentCode :
1636377
Title :
Outage performance improvement by Preventive Maintenance optimization
Author :
Tutt, Teresa E. ; Singh, Inderjeet ; Popova, Elmira ; Kee, Ernie
Author_Institution :
Risk Manage., South Texas Project Nucl. Oper. Co., Wadsworth, TX, USA
fYear :
2012
Firstpage :
1
Lastpage :
4
Abstract :
Shutting down a power plant for any reason is a costly process. Loss of production revenues from one unit can exceed millions of dollars per day. It is therefore good practice to keep outages as short and efficient as possible. A major component of planned outages is Preventive Maintenance (PM). It is important that PM be applied only where needed. Unnecessary PM is costly, not only in terms of labor and material costs, but in additional lost time and production. Further, there are cases where PM is contraindicated by standard reliability models, i.e. components with decreasing failure rates. This can paradoxically introduce failures, incurring additional repair costs and production loss. The risk management group at the South Texas Project Electric Generating Station (STPEGS) has successfully developed software to optimize PM schedules by minimizing total costs and risks associated with corrective maintenance (CM) and PM. The optimum PM interval is determined as a multiple of outage cycles. Components are evaluated based on maintenance type, risk ranking, cost of performing CM at power, and regulatory or internal commitments. This information provided to systems engineering assists in determining whether to advance PM from an upcoming outage, or defer PM to a subsequent outage. Components with maintenance that can be performed online are outside of the scope of this paper and are not considered here.
Keywords :
cost reduction; failure analysis; minimisation; power engineering computing; power generation scheduling; preventive maintenance; reliability; risk analysis; PM optimisation software; PM schedule optimization; corrective maintenance; cost minimization; failure analysis; labor costs; material costs; outage performance improvement; power plant; preventive maintenance; production loss; repair costs; risk management; risk ranking; standard reliability models; Educational institutions; Optimization; Preventive maintenance; Reliability; Schedules; Software; Maintenance Optimization; Non Homogeneous Poisson Process; Outage performance; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2012 Proceedings - Annual
Conference_Location :
Reno, NV
ISSN :
0149-144X
Print_ISBN :
978-1-4577-1849-6
Type :
conf
DOI :
10.1109/RAMS.2012.6175440
Filename :
6175440
Link To Document :
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