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Acceleration of calculation of nuclear heating distributions in ITER toroidal field coils using hybrid Monte Carlo/deterministic techniques

•Assess the detailed distribution of the nuclear heating among the components of the ITER toroidal field coils.•Utilize the FW-CADIS method to dramatically accelerate the calculation of detailed nuclear analysis.•Compare the efficiency and reliability of the FW-CADIS method and the MCNP weight windo...

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Published in:Fusion engineering and design 2016-11, Vol.109-111, p.255-260
Main Authors: Ibrahim, Ahmad M., Polunovskiy, Eduard, Loughlin, Michael J., Grove, Robert E., Sawan, Mohamed E.
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Language:English
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container_title Fusion engineering and design
container_volume 109-111
creator Ibrahim, Ahmad M.
Polunovskiy, Eduard
Loughlin, Michael J.
Grove, Robert E.
Sawan, Mohamed E.
description •Assess the detailed distribution of the nuclear heating among the components of the ITER toroidal field coils.•Utilize the FW-CADIS method to dramatically accelerate the calculation of detailed nuclear analysis.•Compare the efficiency and reliability of the FW-CADIS method and the MCNP weight window generator. Because the superconductivity of the ITER toroidal field coils (TFC) must be protected against local overheating, detailed spatial distribution of the TFC nuclear heating is needed to assess the acceptability of the designs of the blanket, vacuum vessel (VV), and VV thermal shield. Accurate Monte Carlo calculations of the distributions of the TFC nuclear heating are challenged by the small volumes of the tally segmentations and by the thick layers of shielding provided by the blanket and VV. To speed up the MCNP calculation of the nuclear heating distribution in different segments of the coil casing, ground insulation, and winding packs of the ITER TFC, the ITER Organization (IO) used the MCNP weight window generator (WWG). The maximum relative uncertainty of the tallies in this calculation was 82.7%. In this work, this MCNP calculation was repeated using variance reduction parameters generated by the Oak Ridge National Laboratory AutomateD VAriaNce reducTion Generator (ADVANTG) code and both MCNP calculations were compared in terms of computational efficiency and reliability. Even though the ADVANTG MCNP calculation used less than one-sixth of the computational resources of the IO calculation, the relative uncertainties of all the tallies in the ADVANTG MCNP calculation were less than 6.1%. The nuclear heating results of the two calculations were significantly different by factors between 1.5 and 2.3 in some of the segments of the furthest winding pack turn from the plasma neutron source. Even though the nuclear heating in this turn may not affect the ITER design because it is much smaller than the nuclear heating in the turns that are closer to the plasma source, it is our recommendation to adopt the utilization of ADVANTG in similar calculations to increase the reliability of MCNP calculations of detailed distributions of nuclear responses.
doi_str_mv 10.1016/j.fusengdes.2016.03.016
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(ORNL), Oak Ridge, TN (United States)</creatorcontrib><title>Acceleration of calculation of nuclear heating distributions in ITER toroidal field coils using hybrid Monte Carlo/deterministic techniques</title><title>Fusion engineering and design</title><description>•Assess the detailed distribution of the nuclear heating among the components of the ITER toroidal field coils.•Utilize the FW-CADIS method to dramatically accelerate the calculation of detailed nuclear analysis.•Compare the efficiency and reliability of the FW-CADIS method and the MCNP weight window generator. Because the superconductivity of the ITER toroidal field coils (TFC) must be protected against local overheating, detailed spatial distribution of the TFC nuclear heating is needed to assess the acceptability of the designs of the blanket, vacuum vessel (VV), and VV thermal shield. 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Even though the ADVANTG MCNP calculation used less than one-sixth of the computational resources of the IO calculation, the relative uncertainties of all the tallies in the ADVANTG MCNP calculation were less than 6.1%. The nuclear heating results of the two calculations were significantly different by factors between 1.5 and 2.3 in some of the segments of the furthest winding pack turn from the plasma neutron source. 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In this work, this MCNP calculation was repeated using variance reduction parameters generated by the Oak Ridge National Laboratory AutomateD VAriaNce reducTion Generator (ADVANTG) code and both MCNP calculations were compared in terms of computational efficiency and reliability. Even though the ADVANTG MCNP calculation used less than one-sixth of the computational resources of the IO calculation, the relative uncertainties of all the tallies in the ADVANTG MCNP calculation were less than 6.1%. The nuclear heating results of the two calculations were significantly different by factors between 1.5 and 2.3 in some of the segments of the furthest winding pack turn from the plasma neutron source. Even though the nuclear heating in this turn may not affect the ITER design because it is much smaller than the nuclear heating in the turns that are closer to the plasma source, it is our recommendation to adopt the utilization of ADVANTG in similar calculations to increase the reliability of MCNP calculations of detailed distributions of nuclear responses.</abstract><cop>United States</cop><pub>Elsevier B.V</pub><doi>10.1016/j.fusengdes.2016.03.016</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Hybrid Monte Carlo/deterministic techniques
ITER shielding
Nuclear heating distribution
Toroidal field coils
title Acceleration of calculation of nuclear heating distributions in ITER toroidal field coils using hybrid Monte Carlo/deterministic techniques
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