Verification of hydrogen isotope separation/enrichment by pressure swing adsorption process: Successive enrichment of deuterium using SZ-5A column

Kotoh, Kenji; Tanaka, Masahiro; Takashima, S.; Tsuge, T.; Asakura, Yamato; Uda, Tsuyoshi; Sugiyama, T.

doi:10.1016/j.fusengdes.2010.07.006

Cited by 14 publications

(5 citation statements)

References 19 publications

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“…Availability of the PSA hydrogen isotope separation process is endorsed in experimental results using NIFS-PSA apparatus. This process established a remarkably high enrichment factor of 7.89 for D 2 on the basis of the initial concentration in a sample mixture at the 5th cycle [34].…”

Section: Advanced Tritium System For Fuel Cyclementioning

confidence: 94%

Design activities on helical DEMO reactor FFHR-d1

Sagara

Goto

Miyazawa

et al. 2012

Fusion Engineering and Design

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Section: Advanced Tritium System For Fuel Cyclementioning

confidence: 94%

Design activities on helical DEMO reactor FFHR-d1

Sagara

Goto

Miyazawa

et al. 2012

Fusion Engineering and Design

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“…ISS separates hydrogen, deuterium, and tritium. Pressure swing absorption [58], thermal diffusion [59], cryogenic distillation [60], thermal cycling absorption process [61].…”

Section: Component Description Examplesmentioning

confidence: 99%

Modeling and analysis of the tritium fuel cycle for ARC- and STEP-class D-T fusion power plants

Meschini,

Ferry,

Delaporte-Mathurin

et al. 2023

Nucl. Fusion

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The limited tritium resources available for the first fusion power plants (FPPs) make fuel self-sufficiency and tritium inventory minimization leading issues in FPP design. This work builds on the model proposed by M. Abdou et al. \cite{abdou2020physics}, which analyzed the fuel cycle of a DEMO-class FPP with a time-dependent system-level model. Here, we use a modified version of their model to analyze the fuel cycle of an ARC-class tokamak and two versions of a STEP-class tokamak. The ARC-class tokamak breeds tritium in a FLiBe liquid immersion blanket (LIB), while the STEP-class tokamak breeds tritium utilizing either a liquid-lithium blanket design or an Encapsulated Breeding Blanket (EBB). A time-dependent system-level model is developed in Matlab Simulink~\textregistered\hspace{.2em} to simulate the evolution of tritium flows and tritium inventories in the fuel cycle. The main goals of this work are to assess tritium self-sufficiency of the ARC- and STEP-class designs and to determine quantitative design requirements that can be used to analyze the adequacy of a proposed fuel cycle system. These design requirements are aimed at achieving a low tritium inventory doubling time ($t_d$) and a low start-up inventory ($I_{\mathrm{startup}}$) while keeping the required tritium breeding ratio (TBR$_r$) as low as possible. We also consider how improvements in fuel cycle technology and plasma operations affect TBR$_r$ and $I_{\mathrm{startup}}$. The model results show that TBR$_r$ for ARC- and STEP-class FPPs should be achievable if the tritium burn efficiency (TBE) reaches 0.5-1\% (TBR$_r <$ 1.2). This assumes significant, but attainable, improvements over current abilities. However, the model results indicate that a FPP must achieve ambitious performance targets, including FPP availability $>$70\%, tritium processing time $<$4~h, and the implementation of direct internal recycling. If future research yields major improvements to achievable TBE, it may be possible to achieve tritium self-sufficiency while operating at lower availability and without implementing DIR.

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“…The right-side terms of Eqs. (5) and (6) describing the dispersion can be neglected in the case of an adsorption system in which Henry's type isotherm is assumable, as follows:…”

Section: Two-component Mass-flow Balance In Packed-bedmentioning

confidence: 99%

“…In previous works [1][2][3][4][5][6][7][8], they clarified dynamic behaviors of trace one in H 2 -D 2 (99:1) mixtures in zeolite packed columns from the breakthrough curve analysis. The tracer curves can be analytical because assumptions are acceptable of ignoring the fluid outflow-rate change with breakthrough concentration variation and the change of isotope separation factor in binary component adsorption equilibrium depending on concentration.…”

Section: Introductionmentioning

confidence: 99%