Details

Autor(en) / Beteiligte

• Dunn, Michael E.
• Bentley, C. L.
• Goluoglu, S.
• Paschal, Lane S.
• Petrie, L. M.
• Dodds, H. L.

Titel

Development of a Continuous Energy Version of Keno V.a

Ist Teil von

• Nuclear technology, 1997-09, Vol.119 (3), p.306-313

Ort / Verlag

La Grange Park, IL: Taylor & Francis

Erscheinungsjahr

1997

Quelle

Taylor & Francis

Beschreibungen/Notizen

• KENO V.a is a multigroup Monte Carlo code that solves the Boltzmann transport equation and is used extensively in the nuclear criticality safety community to calculate the effective multiplication factor k eff of systems containing fissile material. Because of the smaller amount of disk storage and CPU time required in calculations, multigroup approaches have been preferred over continuous energy (point) approaches in the past to solve the transport equation. With the advent of high-performance computers, storage and CPU limitations are less restrictive, thereby making continuous energy methods viable for transport calculations. Moreover, continuous energy methods avoid many of the assumptions and approximations inherent in multigroup methods. Because a continuous energy version of KENO V.a does not exist, the objective of the work is to develop a new version of KENO V.a that utilizes continuous energy cross sections. Currently, a point cross-section library, which is based on a raw continuous energy cross-section library such as ENDF/B-V is not available for implementation in KENO V.a; however, point cross-section libraries are available for MCNP, another widely used Monte Carlo transport code. Since MCNP cross sections are based on ENDF data and are readily available, a new version of KENO V.a named PKENO Va has been developed that performs the random walk using MCNP cross sections. To utilize point cross sections, extensive modifications have been made to KENO V.a. At this point in the research, testing of the code is underway. In particular, PKENO V.a, KENO V.a, and MCNP have been used to model nine critical experiments and one subcritical problem. The results obtained with PKENO V.a are in excellent agreement with MCNP, KENO V.a, and experiments.