TY - JOUR
T1 - Applications of Serpent 2 Monte Carlo Code to ITER Neutronics Analysis
AU - Turner, A.
AU - Burns, A.
AU - Colling, B.
AU - Leppänen, Jaakko
N1 - Funding Information:
This work has been funded by the RCUK Energy Programme (grant number EP/I501045). This work was carried out using an adaption of the C-lite model, which was developed as a collaborative effort among AMEC Company (International), Culham Centre for Fusion Energy (United Kingdom), ENEA Frascati (Italy), the FDS Team of the Institute of Nuclear Energy Safety Technology (China), ITER Organization (France), National Institutes for Quantum and Radiological Science and Technology (Japan), Karlsruhe Institute of Technology (Germany), Universidad Nacional de Educaci?n a Distancia (Spain), University of Wisconsin?Madison (United States), and Fusion for Energy (European Union).
Funding Information:
This work has been funded by the RCUK Energy Programme (grant number EP/I501045).
Publisher Copyright:
© 2018, © 2018 UK Atomic Energy Authority.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/11/17
Y1 - 2018/11/17
N2 - Nuclear analysis supporting the design and licensing of ITER is traditionally performed using MCNP and the reference model C-Model; however, the complexity of C-Model has resulted in the geometry creation and integration process becoming increasingly time-consuming. Serpent 2 is still a beta code; however, recent enhancements mean that it could, in principle, be applied to ITER neutronics analysis. Investigations have been undertaken into the effectiveness of Serpent for ITER neutronics analysis and whether this might offer an efficient modeling environment. An automated MCNP-to-Serpent model conversion tool was developed and successfully used to create a Serpent 2 variant of C-Model. A version of the deuterium-tritium plasma neutron source was also created. Standard reference tallies in C-Model for the blanket and vacuum vessel heating were implemented, and comparisons were made between the two transport codes assessing nuclear responses and computer requirements in the ITER model. Excellent agreement was found between the two codes when comparing neutron and photon flux and heating in the ITER blanket modules and vacuum vessel. Comparing tally figures of merit, computer requirements for Serpent were typically three to five times that of MCNP, and memory requirements were broadly similar. While Serpent was slower than MCNP when applied to fusion neutronics, future developments may improve this, and Serpent offers clear benefits that will reduce analyst time, including support for meshed geometry, robust universe implementation that avoids geometry errors at the boundaries, and mixed geometry types. Additional work is proceeding to compare Serpent against experiment benchmarks relevant for fusion shielding problems. While further developments are needed to improve variance reduction techniques and reduce simulation times, this paper demonstrates the suitability of Serpent to some aspects of ITER analysis.
AB - Nuclear analysis supporting the design and licensing of ITER is traditionally performed using MCNP and the reference model C-Model; however, the complexity of C-Model has resulted in the geometry creation and integration process becoming increasingly time-consuming. Serpent 2 is still a beta code; however, recent enhancements mean that it could, in principle, be applied to ITER neutronics analysis. Investigations have been undertaken into the effectiveness of Serpent for ITER neutronics analysis and whether this might offer an efficient modeling environment. An automated MCNP-to-Serpent model conversion tool was developed and successfully used to create a Serpent 2 variant of C-Model. A version of the deuterium-tritium plasma neutron source was also created. Standard reference tallies in C-Model for the blanket and vacuum vessel heating were implemented, and comparisons were made between the two transport codes assessing nuclear responses and computer requirements in the ITER model. Excellent agreement was found between the two codes when comparing neutron and photon flux and heating in the ITER blanket modules and vacuum vessel. Comparing tally figures of merit, computer requirements for Serpent were typically three to five times that of MCNP, and memory requirements were broadly similar. While Serpent was slower than MCNP when applied to fusion neutronics, future developments may improve this, and Serpent offers clear benefits that will reduce analyst time, including support for meshed geometry, robust universe implementation that avoids geometry errors at the boundaries, and mixed geometry types. Additional work is proceeding to compare Serpent against experiment benchmarks relevant for fusion shielding problems. While further developments are needed to improve variance reduction techniques and reduce simulation times, this paper demonstrates the suitability of Serpent to some aspects of ITER analysis.
KW - ITER
KW - Neutronics
KW - Serpent
UR - http://www.scopus.com/inward/record.url?scp=85053706076&partnerID=8YFLogxK
U2 - 10.1080/15361055.2018.1489660
DO - 10.1080/15361055.2018.1489660
M3 - Article
AN - SCOPUS:85053706076
SN - 1536-1055
VL - 74
SP - 315
EP - 320
JO - Fusion Science and Technology
JF - Fusion Science and Technology
IS - 4
ER -