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Anthony Scopatz committed Jul 30, 2011
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After the fuel is burned, it is removed from the reactor and stored as a solid on the surface.
This is known as a the once-through fuel cycle.

This work focuses on methods for assesing an open fuel cycle and a variety of other
This work focuses on methods for assessing an open fuel cycle and a variety of other
strategies which have been subjected to intensive levels of technology development and
deployment (TD\&D).

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even in the simplest cycles, the need for a dynamic
fuel cycle simulator and analysis framework arises.

Many fuel cycles are stuided via pre-defined base case scenarios in which all input parameters
Many fuel cycles are studied via pre-defined base case scenarios in which all input parameters
take on static values. Linear one-dimensional sensitivity studies may be performed which evaluate
the effects of slightly changing a single parameter, while keeping all other inputs
constant. However, perturbing a single value may push these base case models into a regime in which
they are no longer valid. Morever, important design regions of the parameter space may be
they are no longer valid. Moreover, important design regions of the parameter space may be
overlooked by base case analysis due to the inability to perturb several parameters
simeltaneously.
simultaneously.
Exploring and analyzing design regimes that are far from pre-set scenarios is necessary for
correctly designing components based on parameters with global fuel cycle reach.

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locality on which they are defined. At a minimum, their inputs are \emph{perturbable}
within an acceptable range and their outputs respond accordingly. Such
models do not seek to compute extraneous parameters that are not of direct importance
to the system at hand. For example, the flux in the fuel regionof a reactor is
to the system at hand. For example, the flux in the fuel region of a reactor is
pertinent to the discharge material composition. However, the neutron current in the
shielding is not.
Essential physics models seek reasonable simplifications of more detailed computational
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