Radiochemical methods in the determination of nuclear data for fusion reactor technology

1976 ◽  
Vol 30 (1) ◽  
pp. 35-51 ◽  
Author(s):  
S. M. Qaim ◽  
R. Wölfle ◽  
G. Stöcklin
Keyword(s):  
Fusion Reactor ◽  
Nuclear Data ◽  
Reactor Technology ◽  
Radiochemical Methods

Summary report on the 2nd international workshop on nuclear data for fusion reactor technology and related topics—Del Mar '95

1997 ◽  
Vol 37 (1) ◽  
pp. 1-7 ◽  
Author(s):  
F.M. Mann ◽  
E.T. Cheng ◽  
O. Wasson ◽  
M.B. Chadwick ◽  
P.G. Young ◽  
...  
Keyword(s):  
Fusion Reactor ◽  
International Workshop ◽  
Nuclear Data ◽  
Summary Report ◽  
Reactor Technology

Overview on Recent Nuclear Data Development for Fusion Reactor Technology

1996 ◽  
Vol 30 (3P2B) ◽  
pp. 1182-1189 ◽  
Author(s):  
E.T. Cheng ◽  
A.B. Pashchenko ◽  
J. Kopecky
Keyword(s):  
Fusion Reactor ◽  
Nuclear Data ◽  
Reactor Technology

scholarly journals Statistical Analysis of Tritium Breeding Ratio Deviations in the DEMO Due to Nuclear Data Uncertainties

2021 ◽  
Vol 11 (11) ◽  
pp. 5234
Author(s):  
Jin Hun Park ◽  
Pavel Pereslavtsev ◽  
Alexandre Konobeev ◽  
Christian Wegmann
Keyword(s):  
Monte Carlo ◽  
Fusion Reactor ◽  
Nuclear Data ◽  
Data File ◽  
Nuclear Model ◽  
Model Parameters ◽  
Tritium Breeding ◽  
Tritium Breeding Ratio ◽  
Nuclear Data Library ◽  
Breeding Ratio

For the stable and self-sufficient functioning of the DEMO fusion reactor, one of the most important parameters that must be demonstrated is the Tritium Breeding Ratio (TBR). The reliable assessment of the TBR with safety margins is a matter of fusion reactor viability. The uncertainty of the TBR in the neutronic simulations includes many different aspects such as the uncertainty due to the simplification of the geometry models used, the uncertainty of the reactor layout and the uncertainty introduced due to neutronic calculations. The last one can be reduced by applying high fidelity Monte Carlo simulations for TBR estimations. Nevertheless, these calculations have inherent statistical errors controlled by the number of neutron histories, straightforward for a quantity such as that of TBR underlying errors due to nuclear data uncertainties. In fact, every evaluated nuclear data file involved in the MCNP calculations can be replaced with the set of the random data files representing the particular deviation of the nuclear model parameters, each of them being correct and valid for applications. To account for the uncertainty of the nuclear model parameters introduced in the evaluated data file, a total Monte Carlo (TMC) method can be used to analyze the uncertainty of TBR owing to the nuclear data used for calculations. To this end, two 3D fully heterogeneous geometry models of the helium cooled pebble bed (HCPB) and water cooled lithium lead (WCLL) European DEMOs were utilized for the calculations of the TBR. The TMC calculations were performed, making use of the TENDL-2017 nuclear data library random files with high enough statistics providing a well-resolved Gaussian distribution of the TBR value. The assessment was done for the estimation of the TBR uncertainty due to the nuclear data for entire material compositions and for separate materials: structural, breeder and neutron multipliers. The overall TBR uncertainty for the nuclear data was estimated to be 3~4% for the HCPB and WCLL DEMOs, respectively.

Radiochemical methods for the determination of plutonium, americium and curium in typical waste streams

1994 ◽  
Vol 213-214 ◽  
pp. 557-559 ◽  
Author(s):  
J.L. Gascón ◽  
M.L. Aceña ◽  
J.A. Suárez ◽  
M. Rodríguez
Keyword(s):  
Waste Streams ◽  
Radiochemical Methods
Sign in / Sign up

Export Citation Format

Share Document