NDLI: Using decision trees in economizer repair decision making

Content Provider	IEEE Xplore Digital Library
Author	Yong Sun Lin Ma Robinson, W. Fidge, C.
Copyright Year	2010
Description	Author affiliation: Delta Electricity, Wallerawang Power Station, NSW 2845, Australia (Robinson, W.) \|\| CRC for Integrated Engineering Asset Management (CIEAM), Brisbane, QLD 4001, Australia (Yong Sun; Lin Ma) \|\| Faculty of Science and Technology, QUT, Brisbane, QLD 4001, Australia (Fidge, C.)
Abstract	The economiser is a critical component for efficient operation of coal-fired power stations. It consists of a large system of water-filled tubes which extract heat from the exhaust gases. When it fails, usually due to erosion causing a leak, the entire generator unit must be shut down to effect repairs. Not only are such repairs highly expensive, but the overall repair costs are significantly affected by fluctuations in electricity market prices, due to revenue loss during the outage. As a result, decisions about when to repair an economiser can alter the repair costs by up to millions of dollars. Therefore, economiser repair decisions are critical and must be optimised. However, making optimal repair decisions is difficult because economiser leaks are a type of interactive failure. If left unfixed, a leak in a tube can cause additional leaks in adjacent tubes which will need more time to repair. In addition, when choosing repair times, one also needs to consider a number of other uncertain inputs such as future electricity market prices and demands. Although many different decision models and methodologies have been developed, an effective decision-making method specifically for economiser repairs has yet to be defined. In this paper, we describe a Decision Tree based method to meet this need. An industrial case study is presented to demonstrate the application of our method.
Starting Page	1
Ending Page	6
File Size	974677
Page Count	6
File Format	PDF
ISBN	9781424447565
e-ISBN	9781424447589
DOI	10.1109/PHM.2010.5414571
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-12
Publisher Place	Macao
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gases Costs Decision making Water heating Boilers Electricity supply industry Power system reliability Decision trees Australia Power generation
Content Type	Text
Resource Type	Article

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