The Organization and Collection of System’s Data in Fusion
Future fusion power plants and experiments may have low availability due to complexity of equipment employed. This low availability translates into high cost of electricity (COE) for power plants and long mission times for experiments, i.e. low performance. In order to analyze the availability of systems, we have devised a Monte Carlo computer program that simulates plant operations and maintenance.1-3 This enables us to predict the system’s performance, run parametric and sensitivity studies and make recommendations as to the system design and criteria that must be met in reliability and maintenance downtimes. However, data (especially reliability data) is nonexistent for many subsystems of a fusion plant.4 We’ve had to rely on experts’ opinion and estimates published in some reports. With fusion experiments operating around the world, we can obtain some data from real experience. Before collecting this data, we need to know which data we need for our analysis and where that data can be stored, updated and easily accessed. This is accomplished by means of our Fusion Systems’ Data Base (FUSEDATA). To collect raw data in the field, however, it is more convenient to use a component based collecting data base. For example, the CREDO framework, in use in the U.S. advanced reactor facilities has been used to collect data from the Tritium Systems Test Assembly (TSTA) at the Los Alamos National Laboratory.
KeywordsFusion System Engineering Data Operator Actuation Collect Data Base Fusion Plant
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- 1.Z. Musicki, C.W. Maynard, “The Availability Analysis of Fusion Power Plants as Applied to MARS,” Nuclear Technology/Fusion 4 No. 3, 284–289 (Sept. 1983), (Proceedings of the 5th Topical Meeting on the Technology of Fusion Energy, Knoxville, TN, 1983).Google Scholar
- 2.Z. Musicki, “Availability Analysis of Fusion Plants Employing a Monte Carlo Simulation Computer Code,” Ph.D. thesis, 1984, University of Wisconsin-MadisonHBK.Google Scholar
- 3.Z. Musicki, “Recent Modifications in Availability Program AVSYS,” University of Wisconsin Fusion Technology Institute Report UWFDM-634, Nov. 1985.Google Scholar
- 4.Z. Musicki, C.W. Maynard, “A Preliminary Fusion Availability Data Base,” University of Wisconsin Fusion Technology Institute Report UWFDM-532, Feb. 1984.Google Scholar
- 5.B. Badger et al., “FUSEDATA: A Fusion Systems Data Base,” to be published as a University of Wisconsin Fusion Technology Institute Report (UWFDM) in January 1986.Google Scholar
- 6.Jeffrey D. Ullman, Principles of Data Base Systems, 2nd edition, Computer Science Press, Inc.HBK, 1982.Google Scholar
- 7.“Centralized Reliability Data Organization (CREDO) Guide for Completing Data Input Forms,” Oak Ridge National Laboratory, Oak Ridge, Tennessee.Google Scholar
- 8.J.R. Bartlit, J.L. Anderson, “Current Operations and Experiments at the Tritium Systems Test Assembly,” in Proceedings of the 11th Symposium of Fusion Engineering, Nov. 18–22, Austin, TX, to be published.Google Scholar
- 9.James L. Anderson, “The Status of Tritium Technology Development for Magnetic Fusion Energy,” Nuclear Technology/Fusion 4, No. 2, Part 2 (Sept. 1983), (Proceedings of the 5th Topical Meeting on the Technology of Fusion Energy, Knoxville, TN, 1983).Google Scholar
- 10.Kathleen M. Gruetzmacher, “Failure/Maintenance Data Base for TSTA,” University of Wisconsin Fusion Technology Institute Report UWFDM-653, November 1985.Google Scholar