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Regional Basic Professional Training Course in Korea

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<strong>Regional</strong> <strong>Basic</strong> <strong>Professional</strong> <strong>Tra<strong>in</strong><strong>in</strong>g</strong> <strong>Course</strong> (BPTC) on Nuclear Safety<br />

(2) Best‐Estimate Methodology<br />

A best‐estimate model should provide a realistic calculation of the important parameters<br />

associated with a particular phenomenon to the degree practical with the currently<br />

available data and knowledge of the phenomenon. The model should be compared with<br />

applicable experimental data and should predict the mean of the data, rather than<br />

provid<strong>in</strong>g a bound to the data. The effects of all important variables should be considered.<br />

If it is not possible or practical to consider a particular phenomenon, the effect of ignor<strong>in</strong>g<br />

this phenomenon should not normally be treated by <strong>in</strong>clud<strong>in</strong>g a bias <strong>in</strong> the analysis<br />

directly, but should be <strong>in</strong>cluded as part of the model uncerta<strong>in</strong>ty. The importance of<br />

neglect<strong>in</strong>g a particular phenomenon should be considered with<strong>in</strong> the overall calculational<br />

uncerta<strong>in</strong>ty.<br />

Careful consideration should be given to the range of applicability of a model when used<br />

<strong>in</strong> a best‐estimate code. When compar<strong>in</strong>g the model to data, judgments on the<br />

applicability of the data to the situation that would actually occur <strong>in</strong> a reactor should be<br />

made. Correlations generally should not be extrapolated beyond the range over which<br />

they were developed or assessed. If the model is to be extrapolated beyond the conditions<br />

for which valid data comparisons have been made, judgments should be made as to the<br />

effect of this extrapolation and the effect should be accounted for <strong>in</strong> the uncerta<strong>in</strong>ty<br />

evaluation. The fundamental laws of physics, well‐established data bases (e.g., steam<br />

tables), and sensitivity studies should be used to assist <strong>in</strong> estimat<strong>in</strong>g the uncerta<strong>in</strong>ty that<br />

results from extrapolation.<br />

A best‐estimate code conta<strong>in</strong>s all the models necessary to predict the important<br />

phenomena that might occur dur<strong>in</strong>g a loss‐of‐coolant accident. Best‐estimate code<br />

calculations should be compared with applicable experimental data (e.g., separate‐effects<br />

tests and <strong>in</strong>tegral simulations of loss‐of‐coolant accidents) to determ<strong>in</strong>e the overall<br />

uncerta<strong>in</strong>ty and biases of the calculation. In addition to provid<strong>in</strong>g <strong>in</strong>put to the uncerta<strong>in</strong>ty<br />

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