Optimal estimation of nuclear reactor core power (with supporting multivariate system identification methods)
Technical Report
·
OSTI ID:5776588
The study was divided into two phases. In the first phase new system identification algorithms were developed; in the second phase these identification methods were applied to develop a Kalman filter for estimating core power in a nuclear power reactor. Necessary empirical data for the two study phases were collected from the Loss-of-Fluid-Test Facility (LOFT) reactor at the Idaho National Engineering Laboratory (INEL). The results obtained can improve the usual procedure for power estimation by reducing estimation uncertainties and sensitivity to unexpected measurement errors. Applying the identification and filter algorithms to power producing commercial reactors will allow production of significant additional electrical power.
- Research Organization:
- EG and G Idaho, Inc., Idaho Falls (USA)
- OSTI ID:
- 5776588
- Report Number(s):
- NUREG/CR-2097
- Country of Publication:
- United States
- Language:
- English
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