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Modeling of Operational Safeguard for Power Productions in the Nuclear Power Plants (NPPs)
Author(s) -
Taeho Woo,
Un-Chul Lee
Publication year - 2010
Publication title -
energy exploration and exploitation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.435
H-Index - 30
eISSN - 2048-4054
pISSN - 0144-5987
DOI - 10.1260/0144-5987.28.6.433
Subject(s) - safeguard , nuclear power , reliability engineering , nuclear power plant , stability (learning theory) , value (mathematics) , power (physics) , network element , engineering , monte carlo method , computer science , computer security , telecommunications , statistics , mathematics , law , nuclear physics , quantum mechanics , machine learning , physics , political science
Power operations for secure performance are investigated using non-linear algorithm. The object of the simulation is to find the safe operation with safeguard for the life-extension of the operations. The network effect of the game theory is used for the quantification which is incorporated with the Monte-Carlo method. The characteristics of the nuclear power plants (NPPs) are analyzed by the designed occurrence value as the refueling factor (RF) and the safeguard measures factor (SMF) which are used for the basic element. The random sampling for the event frequency is used by the characteristics of network effect method like the zero-sum quantification, because it is impossible to expect the time of terror incident exactly. Three kinds of considerations are basic elements as the nuclear fuel, system, and safeguard properties which are organized as an aspect of safeguard considerations. The maximum value of secure operation is the 13.0 in 14th month and the minimum value is 1.0 in several months during 10 years. Hence, the stability of the secure power operation increases 13 times higher than the lowest value in this study. The conclusions give that the secure operation is changeable in the designed NPPs.

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