Abstract
Several Generation IV nuclear reactor concepts have goals for optimizing investment recovery through phased introduction of multiple units on a common site with shared facilities and/or reconfigurable energy conversion systems. Additionally, these concepts promote significant reductions in plant operations and maintenance staff. To accomplish these goals, intelligent control and diagnostic capabilities are needed to provide nearly autonomous operations with anticipatory maintenance. A fully autonomous control system should enable automatic operation of a nuclear plant while adapting to equipment faults and other upsets. It needs to have many intelligent capabilities, such as diagnosis, modelling, analysis, planning, reconfigurability, self-validation, and decision. These capabilities have been the subject of research for many years but a fully autonomous control system remains an as-yet unrealized goal. This paper will describe a functional framework for intelligent, autonomous control that can facilitate the integration of control, diagnostic, and decision-making capabilities to satisfy the operational and performance goals of modular power plants.
Original language | English |
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Pages | 137 |
Number of pages | 1 |
State | Published - 2004 |
Event | Abstracts of the 14th Pacific Basin Nuclear Conference - Honolulu, HI, United States Duration: Mar 21 2004 → Mar 25 2004 |
Conference
Conference | Abstracts of the 14th Pacific Basin Nuclear Conference |
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Country/Territory | United States |
City | Honolulu, HI |
Period | 03/21/04 → 03/25/04 |