Title:
Managing environmentally stressed aging assets in electric power utilities

dc.contributor.advisor Begović, Miroslav M.
dc.contributor.author Onyewuchi, Urenna
dc.contributor.committeeMember DesRoches, Reginald
dc.contributor.committeeMember Habetler, Thomas
dc.contributor.committeeMember Mukhopadhyay, Saibal
dc.contributor.committeeMember Harley, Ronald
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2015-01-26T19:19:15Z
dc.date.available 2015-01-26T19:19:15Z
dc.date.issued 2012-12
dc.description.abstract A model for optimizing the differential cost between a preventive maintenance program and a traditional run-to-failure program on managing assets under uncertainty is developed to assist electric power utilities in decision-making. The assets studied, though not necessarily critical to power delivery, are so numerous in number that the failures of thousands of them result in millions of dollars in instantaneous replacement cost to the utility. The ages of some of the assets are approaching an excess of one hundred years, the age of commercial electricity in the United States. The developed model includes the economics of inspections and replacements as random variables, where the cost of corrective replacements could significantly exceed the cost of planned or preventive replacements. The model also relies on uncertainties in annual failures and inaccuracy of diagnostics that drive planned replacements. Age-specific fragilities of the assets under environmental stress are assessed, and the likelihood of failures of the assets was found to increase significantly as they approached one hundred years, past some initial age of failures that are comparable to new assets. This finding led to the development of an improved geographical inspection scheme, where only components past that initial age are recommended for diagnostic evaluation. The optimization results suggest that the present net benefit/cost of preventive replacement programs of the electric power utility to the unpopular run-to-failure program can be improved on. This, by using the developed models and adopting the frameworks presented in the research work. Implications for future research are also discussed. en_US
dc.description.degree Ph.D.
dc.embargo.terms null en_US
dc.identifier.uri http://hdl.handle.net/1853/53150
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Asset management en_US
dc.subject Environmental stress en_US
dc.subject Decision making en_US
dc.subject Electric utility en_US
dc.subject Aging infrastructure en_US
dc.title Managing environmentally stressed aging assets in electric power utilities en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
onyewuchi_urenna_p_201211_phd.pdf
Size:
3.51 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.13 KB
Format:
Item-specific license agreed upon to submission
Description: