Projects / Programmes
Optimization of the irradiation facilities by using Monte Carlo simulations
Code |
Science |
Field |
Subfield |
2.03.02 |
Engineering sciences and technologies |
Energy engineering |
Fuels and energy conversion technology |
Code |
Science |
Field |
T160 |
Technological sciences |
Nuclear engineering and technology |
Monte Carlo simulations, reactor core, benchmarks, irradiation channels, linear accelerators
Researchers (4)
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
06743 |
PhD Bogdan Glumac |
Energy engineering |
Researcher |
2002 - 2004 |
132 |
2. |
15737 |
PhD Robert Jeraj |
Physics |
Head |
2002 - 2004 |
557 |
3. |
05097 |
PhD Matjaž Ravnik |
Energy engineering |
Researcher |
2002 - 2004 |
439 |
4. |
18276 |
PhD Tomaž Žagar |
Energy engineering |
Researcher |
2002 - 2004 |
283 |
Organisations (1)
no. |
Code |
Research organisation |
City |
Registration number |
No. of publicationsNo. of publications |
1. |
0106 |
Jožef Stefan Institute |
Ljubljana |
5051606000 |
91,767 |
Abstract
Use of Monte Carlo simulation in transport problems is becoming more and more widespread; most of the applications serve for characterization of transport systems, calculations of transport parameters, sensitivity studies and optimization of irradiation facilities. Monte Carlo simulations enable investigations of transport characteristics of systems, without a need for constructions of, sometimes costly, experiments.
In the proposed project, we are going to characterize the TRIGA research reactor in Ljubljana and optimize its irradiation facilities by using Monte Carlo simulations. Characterization of the irradiation facilities will enable more accurate determination of the experimental conditions, which will improve the analyses of the experiments. Optimization of the irradiation facilities will serve as a basis for improved experimental conditions. Determination of the activation of fuel elements, biological shielding and other reactor components will be essential for preparations for safe reactor decommissioning.
Deterministically calculated isotopic composition of burned fuel will be included into Monte Carlo simulations to get a more accurate model of the reactor core. The proposed method will be tested on our benchmark experiments as well as on the data from the literature. We are also planning to investigate possibilities for design and simulations of deeply subcritical experiments, which correspond to spent fuel storage and transport conditions.
The methods for optimization of neutron irradiation facilities will be applied with some modifications to optimization of sources for radiation therapy of cancer (medical accelerators), also by using Monte Carlo simulations. So far, all the sources have been optimized for treatment with flat treatment fields, which is not optimal for the new type of radiation treatment (intensity modulated radiation therapy – IMRT). Our investigations will eventually improve characteristics of the sources for IMRT type of treatment. The question whether it is possible to combine a therapeutic beam with an efficient imaging beam to control the patient geometry during treatment will be addressed as well.