Research Article |
Corresponding author: Sergey V. Bedenko ( bedenko@tpu.ru ) Academic editor: Georgy Tikhomirov
© 2023 Sergey V. Bedenko, Igor O. Lutsik, Anton A. Matyushin, Sergey D. Polozkov, Vladimir M. Shmakov, Dmitry G. Modestov, Vadim V. Prikhodko, Andrey V. Arzhannikov.
This is an open access article distributed under the terms of the CC0 Public Domain Dedication.
Citation:
Bedenko SV, Lutsik IO, Matyushin AA, Polozkov SD, Shmakov VM, Modestov DG, Prikhodko VV, Arzhannikov AV (2023) Fusion-fission hybrid reactor facility: power profiling. Nuclear Energy and Technology 9(1): 65-70. https://doi.org/10.3897/nucet.9.102781
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The current state of research in the field of nuclear and thermonuclear power aimed at creating power generation plants makes it possible to predict the further development of modern power industry in the direction hybrid reactor power plants. Such hybrid systems include a tokamak with reactor technologies, worked out in detail in Russia, and systems with an additional source of neutrons.
Power generation plants using tokamaks and accelerators with the required level of proton energy will be of exceptionally large size and power, which will postpone their construction on an industrial scale to the distant future. The ongoing research is aimed at the development of small generation and has the prospect of entering the field of energy use in a shorter period. The hybrid reactor facility under study consists of an axisymmetric assembly of fuel blocks of a high-temperature gas-cooled reactor and a linear plasma source of additional neutrons. The paper demonstrates the results of optimization plasma-physical, thermophysical and gas-dynamic studies, the purpose of which is to level the distortions of the power density field, which are formed in the volume of the multiplicating part of the facility due to the pulsed operation of the plasma source of D-T-neutrons. The studies on increasing the “brightness” of the source and modeling its operating modes were carried out using the DOL and PRIZMA programs. The thermophysical optimization and gas-dynamic calculations were performed using the verified SERPENT and FloEFD software codes. The calculations were made on a high-performance cluster of the Tomsk Polytechnic University.
fusion-fission hybrid reactor facility, plasma source of D-T-neutrons, power profiling, temperature field
The current state of research in the field of nuclear and thermonuclear power (
Such systems include the tokamak with reactor technologies (TRT) worked out in detail in Russia (
Another concept includes systems with an additional source of neutrons produced by bombarding a target with a beam of high-energy protons (
Power generation plants using tokamaks and accelerators with the required level of proton energy will be of exceptionally large size and gigantic power, which will postpone their construction on an industrial scale to the distant future.
The ongoing research (
The use of such a source makes it possible to transfer the entire system to a subcritical operating mode and thereby dramatically increase the level of its nuclear safety, as well as to ensure more efficient use of fuel by changing the “hardness” of the neutron energy spectrum.
It was shown in
The paper demonstrates optimization plasma-physical, thermophysical studies and the results of gas-dynamic modeling, the purpose of which is to level the resulting distortions of the radial and axial power density fields, which are formed in the blanket due to the pulsed mode of operation of the PNS.
The facility under study (Fig.
The PNS is a plasma vacuum chamber with a linear configuration (
This area of the vacuum chamber can be divided into two parts. The first one is designed to accommodate atomic beam injectors that deliver energy into the plasma. This part of the chamber has a large diameter and serves as the main volume where the plasma component with warm ions is kept. The magnetic field induction in this part of the chamber is practically independent of the y coordinate in the range of –1.8 m < y < 2.2 m. The second part of the chamber (see coordinates 4 m < y < 7 m in Fig.
The longitudinal profile of the yield of these neutrons In(y) was used to determine the peak values of the energy release in the problem of thermophysical optimization of the multiplicating part of the facility.
It should be noted that in the “PNS – blanket” configuration under study, the plasma column is formed in a repetitively pulsed mode, and the “wave” of fission of (wgPu–Th)O2-fuel nuclei propagates from the axial region over the entire multiplicating part in proportion to the time with the PNS operation. The study of the dynamics of fission of fuel nuclei was carried out using the PRIZMA code (
During the simulation, the repetitively pulsed and stationary modes of operation of the facility were studied. The simulation results (Fig.
Comparison of the rate of nuclear fission in the blanket of the facility under repetitively pulsed (Lines 1–3) and stationary (Lines 4, 5) operating modes of the PNS: (1) Layer 1 [t = 0.1 ms, T = 2 ms]; (2) Layer 50 [t = 0.1 ms, T = 2 ms]; (3) Layer 1 [t = 1 ms, T = 2 ms]; (4) Layer 1; (5) Layer 50.
Gas-dynamic modeling was performed by the finite element method in a conjugate formulation: both heats transfer due to heat conduction and convective heat transfer were taken into account. The blanket configuration is shown in a fig. 2 from
This approach makes it possible, depending on the parameters of the flow and the size of the grid in the near-wall region, to calculate the boundary layer in two versions (models of a “thin” and “thick” boundary layer) with satisfactory accuracy. For effective cooling of the blanket and PNS, a series of optimization parametric calculations was carried out, in which the variables were the coolant parameters (temperature, pressure, and velocity), and the target parameters were the temperature extremes of the source and blanket materials. The parameters of helium, the thermophysical properties of helium, structural materials, and fuel were chosen with due account of the experience in designing and operating the HTTR reactor (
The thermophysical optimization of the blanket was performed by profiling the power density along the radius of the multiplicating part by changing the content of the Pu fraction. The fuel blocks from the second to the fourth row (see specifiers 1–4 in fig. 2a from
The results of numerical gas-dynamic modeling presented in Fig.
The most energy-intensive area of the blanket is located in the third row at a height of 2.56 m (Fig.
The power density of the third row can be reduced, for example, by changing the configuration of the flow area of the channels for the coolant, while maintaining the same flow area of the first, second and fourth rows of the blocks. Another option, which does not require additional neutron and thermophysical calculations, is to use local resistance, for example, in the form of so-called orifice gages or heat transfer intensifiers.
The paper demonstrates the results of optimization plasma-physical, thermophysical and gas-dynamic studies.
The results of studies performed at the Budker Institute of Nuclear Physics made it possible to improve plasma confinement (see Fig.
The operation of the plasma neutron source in conjunction with the blanket multiplicating part was simulated by our colleagues from the All-Russian Scientific Research Institute of Technical Physics (RFNC-VNIITF). In the course of this simulation, the dynamics of the process of fission of fuel nuclei and the formation of spatial power density in the pulsed and stationary operating modes of the facility were studied. The result obtained (see Fig.
The gas-dynamic studies of the facility blanket cooling conditions were carried out by Tomsk Polytechnic University in cooperation with OKB Gidropress. The results of parametric optimization calculations (see Fig.
The results of three years of work on the justification of the possible integration of the facility into the operating fleet of small generation allow us to proceed with the preliminary design of a safe subcritical hybrid reactor.
This research was supported by the Russian Science Foundation under RSF grant No. 23-29-00131 (https://rscf.ru/en/project/23-29-00131/).