Each different part of the FCCI should be based on a specific experiment that we want to answer. For each problem a cycle will be defined as well as a set of interesting output metrics input variable and modeling option.
The goal of the full problem will be to determine the sensitivity of the output metrics to the input parameter, the modelisation option and/or to the different hypothesis relative to the fuel cycle simulation.
To do so, one need to build a set of question/problems with an increasing complexity. The first set will consist to the definition of simple set of elementary block that are consistent together, which all put together will consistitute the full cycle one aims to consider. For each elementary blocks using a fix set a input parameters, modeling options and hypothesis, a values of the ouput metrics will be provided. A first comparison between the different tools and simulation parameters will allows to understand the difference between the different tools/simulations, and ensure that each tool and simualtion are working as expected.
The second part of the workflow will be dedicated to perfom on a limited number of test cases the full cycle simulation. This will allow to run a first round of comparison between tools and simulation option.
The last part of each problem, will consistant for each tool to run a sentisity analysis to all the different simulation hypothesis parameters. Running a large number of simulation shuffling input parameters, modeling options to be used to run sensitivity analysis.
In the follow one can find an example of what a test should look like:
General description of the goal of the experiement, and the general application cases: ex radio-protection, cost evaluation/economical study, non-proliferation, fuel cycle evaluation, ...
Exhaustiv description of the cycle we aim to simulate, allowing the simulator to have a global ideas of the complete cycle. This should describe in details all the type of facilities presents in the simulation as well as all the different possible material flows. This might be documented with a cycle pictures allowing a better understanding of the simulation.
Description of all the differents identified output metrics relevants for the considered test.
Metrics can be deferencied into 2 categories:
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direct output metrics, which should directly be produced by a generic fuel cycle tool, as material flows, materials compositions, power generated, ressource comsubsion...
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indirect ouput metrics, that require addition computations to be determine, such as cost, radio-toxicity, decayheat....
Description of the all the degree of freedom of the experiences:
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Definition of the input factors (variables and parameters) and their variation range/allowed values (if applicable), example:
- burnup [ BUmin, BUmax]
- FiFo/LiFo/random/mix
- ...
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Definition of the model simplification considered in the experience, such as:
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depletion
- fuel fabrication
- decay
- loading pattern optimisation
This part aims to identify the different degree of freedom of the input, on which the sentivity will in fine be performed