A review of studies in Japan on BWR dynamics by model based noise analysis

Abstract A review is given on the efforts towards the understanding of the BWR dynamics, which have been made in Japan during past quarter of century. Emphasis is placed on the combined use of a physical model and the noise analysis. A dynamic model of BWR plant was developed, based on the physical laws of nuclear, thermal and hydraulic phenomena. The model is a rather simplified one, utilizing several assumptions. A good insight into the physical meaning of the dynamic behavior is easily obtained due to this simplicity. The adequacy of the model was confirmed by comparing the experimental and the simulated transients of Japan Power Demonstration Reactor (JPDR). The first attempt of phenomenological analysis of power reactor noise was made by introducing a suitable noise source in this model and comparing the simulated PSD with the experimental one of JPDR. The results were encouraging and further studies in this direction were carried out. With the improved model and a suitable assumption about the noise sources, the agreement between the experimental and the simulated PSD's is satisfactory. Concurrently with the studies using the physical model, the noise analysis of several large scale commercial BWR power plants was carried out. Multivariable autoregressive (MAR) analysis was found to be useful to develope an empirical model of BWR noise and derive various observations thereof. These observations also afforded useful suggestions for improving the physical model. Studies have been carried out to derive a posteriori information on the internal structure of the system from the MAR model on one hand, and to incorporate a priori knowledge on the structure into the MAR model on the other.

[1]  Masaharu Kitamura,et al.  A Multivariable Autoregressive Model of the Dynamics of a Boiling Water Reactor , 1978 .

[2]  Kohyu Fukunishi.  Diagnostic Analyses of a Nuclear Power Plant Using Multivariate Autoregressive Processes , 1977 .

[3]  Kohyu Fukunishi,et al.  Coherence analysis of boiling water reactor noise. , 1977 .

[4]  Shigeru Kanemoto,et al.  Identification of BWR feedwater control system using autoregressive integrated model , 1983 .

[5]  Masaharu Kitamura,et al.  Identification of BWR dynamics from autoregressive analysis of multivariable experiments , 1977 .

[6]  H. Akaike.  A new look at the statistical model identification , 1974 .

[7]  Masaharu Kitamura,et al.  Experimental Studies of Core Flow Fluctuations as Noise Source in BWR , 1978 .

[8]  T. Kawai,et al.  VOID REACTIVITY RESPONSE IN BOILING WATER REACTORS , 1961 .

[9]  Shigeru Kanemoto,et al.  Multivariate analyses for neutron noise source identification in BWR plant. , 1983 .

[10]  Tsutomu Nomura,et al.  Bwr noise spectra and application of noise analysis to FBR , 1975 .

[11]  K. Fukunishi,et al.  Noise analysis experience of a BWR power plant , 1977 .

[12]  Kunihiko Matsubara.  Identification of Channel Void Generation Noise in BWR , 1980 .

[13]  Norio Naito,et al.  Void Detection in BWR by Noise Analysis , 1975 .

[14]  M. Kitamura,et al.  Experimental studies of core flow fluctuations and neutron noise in a BWR , 1977 .

[15]  Shigeru Kanemoto,et al.  Identification of Pressure Control System Dynamics in BWR Plant by Multivariate Autoregressive Modeling Technique , 1982 .

[16]  Kohyu Fukunishi.  Noise Source Estimation of Boiling Water Reactor Power Fluctuation by Autoregression , 1978 .

[17]  Ritsuo Oguma.  Method to Evaluate Signal Transmission Paths in Dynamic Systems and Its Application to Reactor Noise Analysis , 1981 .

[18]  Ritsuo Oguma.  Extended Partial and Multiple Coherence Analyses and Their Application to Reactor Noise Investigation , 1982 .

[19]  Masaharu Kitamura,et al.  Identifiability of dynamics of a boiling water reactor using autoregressive modeling , 1979 .

[20]  K. Fukunishi,et al.  Dynamical Analysis of a Boiling Water Reactor by Multivariable Autoregressive Model , 1976 .

[21]  Ritsuo Oguma.  Coherence analysis of systems with feedback and its application to a BWR noise investigation , 1982 .