Variable dimensional core neutronics modeling

It is often convenient and practically useful for a multidimensional neutronics code to have the capability of consistently modeling a core in one, two, and three dimensions. This requires a method of performing dimensional reduction of a three-dimensional core model. Conventional methods, such as the use of transverse buckling, tend to be problem dependent and lack the generic applicability to nonreference core conditions. It would be appealing to have a more rigorous and generic method to implement variable dimensional core modeling. A superfast multidimensional nodal code, SPNOVA (SUPERRNOVA), has been developed recently at Westinghouse. The theory of SPNOVA has the additional advantage of being particularly suitable for variable dimensional core modeling. The SPNOVA code has the capability of easily creating consistent lower dimensional models that are demonstrated to be very accurate for appropriate applications. This variable dimensional capability unifies one-, two-, and three-dimensional modeling of a core. It allows a nuclear engineer to carry only a three-dimensional model for a core. From any of the three-dimensional cases, a fully compatible lower dimensional model can be generated, if so desired, to perform accurate and consistent lower dimensional analyses