Determination of the subcriticality level using the 252Cf source-detector method

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Abstract

Measurement and monitoring of reactivity in a subcritical state, e.g. during the loading of a power reactor, has a clear safety relevance. The methods currently available for the measurement of keff in stationary subcritical conditions should be improved as they refer to the critical state. This is also very important in the framework of ADS (accelerator driven systems) where the measurement of a subcritical level without knowledge of the critical state is looked for. An alternative way to achieve this is by mean of the 252Cf source-detector method. The method makes use of three detectors inserted in the reactor: two “ordinary” neutron detectors and one 252Cf source-detector which contains a small amount of 252Cf that introduces neutrons in the system through spontaneous fission. By observing fissions through the detection system and correlating the signals of the three detectors, the reactivity ρ (and hence the multiplication factor k) can be determined.

Before the actual measurements took place, a suitable data acquisition system was realized in order to process the signals and compute the auto and cross power spectral densities. The measurements were then performed in the VENUS reactor, using the 252Cf source-detector and two BF3 neutron detectors. The multiplication factor was determined using the Cf source method and compared with measurements using other methods and with computational results (Monte Carlo simulations). The Cf method was benchmarked at a UOX core to other experimental methods that used the critical state as reference and to calculations. Afterwards, the Cf source technique was analyzed in a MOX core to study the possible impact of a significant intrinsic source on the results. This benchmarking gives the possibility to validate the Cf method as a reliable technique for the measurement of subcritical levels in steady state and for cores with an intrinsic source like MOX or burnt fuel cores.

Introduction

Measurement and monitoring of reactivity in a subcritical state, e.g. the loading of a power reactor, has a clear safety relevance. The methods currently available for this purpose are not satisfactory as some international research efforts (Baeten and Ait Abderrahim, 2003) highlight. The question of monitoring reactivity has received increased actuality in connection of a few recent incidents and accidents such as the criticality accident in Tokaimura in 1999 (NRC, 2000), the erroneous loading of the French PWR Dampierre-4 in 2002 (Laurioux and Deschamps, 2002), and lately the cooling accident in a fuel cleaning facility at Paks-2, Hungary (Hungarian Atomic Energy Agency, 2003). Furthermore, the experimental reactor physics community is faced with the challenge to develop measurement techniques for the accurate determination of the subcritical level (Baeten and Ait Abderrahim, 2003). This need is evidently present in the current research for accelerator driven systems (Aït Abderrahim and D’hondt, 2007) where subcriticality has to be guaranteed at all times by an accurate determination of the reactivity level. However, also a strong interest and need is being expressed by the utilities to have a more accurate reactivity determination during loading procedures which is an essential point for criticality safety.

Most of the traditional experimental methods of measuring subcritical levels need the critical state of the reactor as a reference. Sometimes this is difficult or impossible, as in the case of subcritical core driven by accelerator (ADS). Other techniques, like the reactivity meter (Grachev et al., 1986) make use of reactivity changes and cannot be used in stationary subcritical conditions for the estimation of the subcritical level. Hence we need a method for subcritical level measurements in steady state conditions without knowledge about the critical state.

Nowadays, most of the methods to measure reactivity in a stationary subcritical system with a source and without knowledge about the critical state are based on the statistics of the subcritical chains induced by the intrinsic source neutrons. Such so-called noise methods are the variance-to-mean or Feynman-alpha (Pázsit and Pál, 2007), the Rossi-alpha method (Pázsit and PÁL, 2007, Uhrig and Stapleton, 1975, THIE, 1963, Mihalczo et al., 1990), and the auto-power spectral density (APSD) and cross power spectral density (CPSD) (Uhrig and Stapleton, 1975, THIE, 1963, Mihalczo et al., 1990). These methods have been tested and used extensively at research and zero power reactors (Uhrig and Stapleton, 1975, THIE, 1963, Mihalczo et al., 1990, Pyeon et al., 2008). None of them have been applied extensively at power reactors for subcriticality determination. The problem of all these noise methods is the low signal-to-noise ratio due to the poor correlation within the overall neutron noise signal. In power reactors, e.g. during loading operations, one relies on the subcritical approach procedure to estimate the critical condition without having an experimental value for the subcritical level at each state in the procedure.

To obtain possibly a higher signal-to-noise ratio in the neutron noise signal, another method was proposed some time ago, which is based on the so-called 252Cf method (Mihalczo et al., 1990). The essence is to use a 252Cf neutron source, which is built together with an ionization chamber (the 252Cf is put electrochemically on one of the plates of a parallel-plate ionization chamber). Such an arrangement is called a “252Cf detector”. The detector identifies each spontaneous fission event leading to neutron emission by measuring the ionized fission products, but without absorbing any neutron. In this way, the time origin of the fission is known and correlated neutrons can be easily discriminated and hence an increased signal-to-noise ratio can be obtained.

The 252Cf source-detector method for subcriticality measurements is a source-driven noise analysis method for the measurement of the reactivity of subcritical reactor systems. In subcritical systems, fission chains are created whenever a neutron is brought into the system, either by an external source or by spontaneous fission in the system itself. Because of the subcritical nature of the system, such a fission chain will eventually die out. The birth and death of a fission chain are stochastic processes and, consequently, the fission chain multiplication process is subjected to fluctuations (“noise”). However, the average behavior of these fission chains is determined by the system’s geometry and composition, and through observation of the fission chains, certain physical properties of the subcritical system (e.g. the system’s multiplication factor) can be deduced.

The 252Cf source-detector method provides a way to observe these fission chains and derive from it physical properties of the system. This source-detector, which contains a small amount of 252Cf, is placed inside or in the vicinity of the system, and through spontaneous fission of these 252Cf-nuclei, neutrons are injected into the system. The time of injection of these source neutrons can be observed through the detection of the fission fragments by the 252Cf source-detector. In addition, two common neutron detectors are placed into the subcritical system and, by correlating the detection events of these neutron detectors with the source event, dynamic properties of the system can be deduced.

In this respect, the proposed 252Cf source method offers advantages over other experimental techniques due to its active interrogation character and its technological simplicity. One of the advantages is that the spectral ratio obtained from the noise measurement does not depend on the detection efficiency of the common neutron detectors. Another distinct advantage is that the prompt neutron decay constant can also be obtained from this measurement and, finally, the technique itself has a high sensitivity to small changes in configurations of fissile materials. Hence, the investigation of this technique in this application area could contribute largely to the safety of current and future reactor systems.

The formulas that give the reactivity of the system in function of these correlations will be briefly discussed in Section 2. Section 3 is devoted to the description of the experimental setup – especially the 252Cf source-detector – as well as the subcritical system on which the reactivity measurements were performed. The data acquisition procedure and the processing of the measured signals, with its specific challenges, will be addressed in Section 4. Section 5 shows the results of the experiment as well as a comparison of the 252Cf source technique with other different reactivity monitoring methods. Finally in Section 6 the main conclusions of this paper are summarized.

Section snippets

Models and methods

As already mentioned, the 252Cf source-detector method uses three detectors: two neutron detectors, denoted by subscripts x and y, which give a time-dependent signal proportional to the neutron flux at the location of the detectors, and a source-detector S, which injects neutrons into the system through spontaneous fission of 252Cf and gives a time-dependent signal proportional to the number of fissions of 252Cf. At a first approach, the correlation between the different events can be easily

Measurement instrumentation

The practical use of the 252Cf method for subcriticality measurements as described in the previous section will be demonstrated by some experiments, which are the subject of this paper. These experiments require a 252Cf source-detector, two common neutron detectors and of course a subcritical system.

The subcritical system used in the experiments was the VENUS facility (Lance et al., 2003) at the Belgian Nuclear Research Center SCK·CEN at Mol in Belgium (the acronym VENUS stands for Vulcain

Procedure

Each of the three detectors is connected to a 32 bit 80 MHz clock: at the start of a measurement, the clock will start counting at a frequency of 80 MHz. As a consequence of this count frequency, the timeline is divided into time slots of 12.5 ns (=1/(80 MHz)), and each of these time slots is characterized by its rank number in the series of successive time slots (e.g. the time slot between 0 and 12.5 ns has rank number 1, the one between 12.5 and 25 ns has rank number 2, and so on). Since the clock

Reactivity calculations and results

With all these parameters known we can evaluate the spectral ratio and, hence, the reactivity of the system. Using Eq. (16) and R¯N it is possible to estimate ρ.

The values of the average numbers of neutrons per fission νcf, νsf, νif, together with the second moments of the neutron distributions can be found in the literature (Reilly et al., 1991).

The 252Cf noise analysis method previously presented has been investigated in several experiments in two different core configurations, of VENUS

Discussion

From the results for the UOX core presented in Table 5, we can see that the Monte Carlo calculations agree with the results for the reactor period and prompt jump measurements within the declared uncertainties. That gives the possibility to use the MC calculations as reference for the analysis of Cf method results in UOX and MOX cores.

Comparing now the Cf method measurements in the UOX and MOX cores with the Monte Carlo results in Table 4, Table 5, we can conclude that the E/C results agree

Conclusions

The subcriticality of fissile materials is essential to safe processing, transportation, and storage operations. Measurement and monitoring of reactivity during the loading of a power reactor have also a clear safety relevance. And also new designs as ADS need a reliable determination of the stationary subcritical level. In this framework the investigation of new techniques for its application in these areas could contribute largely to the safety of current and future reactor systems.

The method

Acknowledgements

One of the authors (I.P.) is greatly indebted to the JNC Oarai institute, and in particular to both Dr. Y. Maeda and Dr. S. Suzuki for the donation of two Cf-252 detectors to the Department of Nuclear Engineering, Chalmers University of Technology, out of which one was used in the experiments reported here. Thanks are due to Prof. Y. Yamane of Nagoya University for his mediation in the matter and for valuable discussions on the Cf-252 method.

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