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Title: Wireless online position monitoring of manual valve types for plant configuration management in nuclear power plants

Journal Article · · IEEE Sensors Journal
ORCiD logo [1];  [1];  [2];  [3];  [1]
  1. Idaho National Lab. (INL), Idaho Falls, ID (United States)
  2. Idaho State Univ., Pocatello, ID (United States)
  3. Electric Power Research Institute, Palo Alto, CA (United States)

In the current competitive energy market, the nuclear industry is committed to lower the operations and maintenance cost; increase productivity and efficiency while maintaining safe and reliable operation. The present operating model of nuclear power plants is dependent on large technical staffs that put the nuclear industry at long-term economic disadvantage. Technology can play a key role in nuclear power plant configuration management in offsetting labor costs by automating manually performed plant activities. The technology being developed, tested, and demonstrated in this paper will enable the continued safe operation of today’s fleet of light water reactors by providing the technical means to monitor components in plants today that are only routinely monitored through manual activities. The wireless enabled valve position indicators that are the subject of this paper are able to provide a valid position indication available continuously, rather than only periodically. As a result, a real-time (online) availability of valve positions using an affordable technologies are vital to plant configuration when compared with long-term labor rates, and provide information that can be used for a variety of plant engineering, maintenance, and management applications.

Research Organization:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Organization:
USDOE Office of Nuclear Energy (NE)
Grant/Contract Number:
AC07-05ID14517
OSTI ID:
1363919
Report Number(s):
INL/JOU-16-38706; TRN: US1702186
Journal Information:
IEEE Sensors Journal, Vol. 17, Issue 2; ISSN 1530-437X
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 7 works
Citation information provided by
Web of Science