ESTIMATE OF THE ERROR IN MONITORING THE ENERGY RELEASE DISTRIBUTION ON THE BASIS OF A CONDITIONAL PROBABILITY DISTRIBUTION DENSITY
It is shown by means of calculations and experiments that the generally accepted practice of using an unconditional instead of a conditional probability density distribution when estimating the error in monitoring the power in the fuel channels with the highest power density in the cores of a wide c...
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| Veröffentlicht in: | Atomic energy (New York, N.Y.) N.Y.), 2007-11, Vol.103 (5), p.863-869 |
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| container_title | Atomic energy (New York, N.Y.) |
| container_volume | 103 |
| creator | ALEKSANDROV, S. I ZAITSEV, M. P IL'INA, L. I POSTNIKOV, V. V YURKIN, G. V YAKUNIN, I. S VLASOV, V. A |
| description | It is shown by means of calculations and experiments that the generally accepted practice of using an unconditional instead of a conditional probability density distribution when estimating the error in monitoring the power in the fuel channels with the highest power density in the cores of a wide class of reactors with standard power monitoring error greater than 1.5% results in a systematic underestimation of the margin up to the limits for safe operation by up to approximately 5 and 10% for regimes with and without real-time optimization of the energy release distributions, respectively. This underestimation decreases to zero monotonically when the average power is used instead of the maximum power.[PUBLICATION ABSTRACT] |
| doi_str_mv | 10.1007/s10512-007-0137-5 |
| format | Article |
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| identifier | ISSN: 1063-4258 |
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| source | SpringerLink Journals |
| subjects | Channels Density Density distribution Energy distribution Errors Estimates Estimating Maximum power Monitoring Probability distribution Studies |
| title | ESTIMATE OF THE ERROR IN MONITORING THE ENERGY RELEASE DISTRIBUTION ON THE BASIS OF A CONDITIONAL PROBABILITY DISTRIBUTION DENSITY |
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