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D AGGARWAL, C DANANI, M Z YOUSSEF. Preliminary performance analysis and optimization based on 1D neutronics model for Indian DEMO HCCB blanket[J]. Plasma Science and Technology, 2020, 22(8): 85602-085602. DOI: 10.1088/2058-6272/ab8e2c
Citation: D AGGARWAL, C DANANI, M Z YOUSSEF. Preliminary performance analysis and optimization based on 1D neutronics model for Indian DEMO HCCB blanket[J]. Plasma Science and Technology, 2020, 22(8): 85602-085602. DOI: 10.1088/2058-6272/ab8e2c

Preliminary performance analysis and optimization based on 1D neutronics model for Indian DEMO HCCB blanket

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  • Received Date: February 24, 2020
  • Revised Date: April 26, 2020
  • Accepted Date: April 27, 2020
  • India, under its breeding blanket R&D program for DEMO, is focusing on the development of two tritium breeding blanket concepts; namely the lead-lithium-cooled ceramic breeder and the helium-cooled ceramic breeder (HCCB). The study presented in this paper focuses on the neutronic design analysis and optimization from the tritium breeding perspective of the HCCB blanket. The Indian concept has an edge-on configuration and is one of the variants of the helium-cooled solid breeder blanket concepts proposed by several partner countries in ITER. The Indian HCCB blanket having lithium titanate (Li2TiO3) as the tritium breeder and beryllium (Be) as the neutron multiplier with reduced-activation ferritic/martensitic steel structure aims at utilizing the low-energy neutrons at the rear part of the blanket. The aim of the optimization study is to minimize the radial blanket thickness while ensuring tritium self-sufficiency and provide data for further neutronic design and thermal-hydraulic layout of the HCCB blanket. It is found that inboard and outboard blanket thicknesses of 40 cm and 60 cm, respectively, can give a tritium breeding ratio (TBR) >1.3, with 60% 6Li enrichment, which is assumed to be sufficient to cover potential tritium losses and associated uncertainties. The results also demonstrated that the Be packing fraction (PF) has a more profound impact on the TBR as compared to 6Li enrichment and the PF of Li2TiO3.
  • [1]
    Srinivasan R, Deshpande S P and the Indian DEMO team 2008 Fusion Eng. Des. 83 889
    [2]
    Srinivasan R and the Indian DEMO Team 2010 J. Plasma Fusion Res. SERIES 9 630 (www.jspf.or.jp/JPFRS/PDF/Vol9/jpfrs2010_09-630.pdf)
    [3]
    Deshpande S and Kaw P 2013 Sadhana 38 839
    [4]
    Giancarli L M et al 2012 Fusion Eng. Des. 87 395
    [5]
    Kumar E R, Jayakumar T and Suri A K 2012 Fusion Eng. Des.87 461
    [6]
    Chaudhuri P et al 2014 Fusion Eng. Des. 89 1362
    [7]
    Chaudhuri P et al 2009 Fusion Eng. Des. 84 573
    [8]
    Swami H L et al 2016 Fusion Eng. Des. 113 71
    [9]
    Chaudhuri P et al 2013 Fusion Eng. Des. 88 209
    [10]
    Sharma D and Chaudhuri P 2018 Plasma Sci. Technol. 20 065604
    [11]
    Swami H L, Danani C and Shaw A K 2018 Plasma Sci.Technol. 20 065602
    [12]
    Abdou M A et al 1986 Fusion Technol. 9 250
    [13]
    El-Guebaly L A and Malang S 2009 Fusion Eng. Des. 84 2072
    [14]
    Danani C et al 2019 Pramana 92 15
    [15]
    Engle W W Jr 1967 A user’s manual for ANISN: a one dimensional discrete ordinates transport code with anisotropic scattering Technical Report Oak Ridge Gaseous Diffusion Plant (https://doi.org/10.2172/4448708)
    [16]
    Aldama L D and Trkov A 2004 FENDL-2 1 update of an 274 evaluated nuclear data library for fusion applications 275 Report International Atomic Energy Agency (www-nds.iaea.org/reports-new/indc-reports/indc-nds/indc-nds-0467.pdf)

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