Optimal design of the multi-bed storage system in fusion fuel cycle under periodic demand based on the state-task network representation-Reference-Cited by-同舟云学术

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Optimal design of the multi-bed storage system in fusion fuel cycle under periodic demand based on the state-task network representation

Published:2016-10 Issue:38 Volume:41 Page:17008-17021
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Lee Jae-Uk,Chang Min Ho,Yun Sei-Hun,Ha Jin-Kuk,Lee Euy Soo,Lee In-Beum,Lee Kun-Hong,Yi Gyeongbeom

Funder

Ministry of Science, ICT and Future Planning of the Republic of Korea

Ministry of Trade, Industry & Energy, Republic of Korea

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference45 articles.

1. Review of the ITER fuel cycle;Babineau;Int At Energy Agency,2010

2. Tritium fuel cycle of the International thermonuclear experimental reactor;Song;Korean Chem Eng Res,2012

3. The inner Deuterium/Tritium fuel cycle of ITER;Glugla;Fusion Eng Des,2003

4. ITER fuel cycle R&D: consequences for the design;Glugla;Fusion Eng Des,2006

5. Key technologies for tritium storage bed development;Yun;Fusion Sci Technol,2015

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design study on fuel buffer system for continuous processing of tritium processes considering burn and dwell operation scenarios;Fusion Engineering and Design;2024-05

2. Dynamic optimization of cryogenic distillation operation for hydrogen isotope separation in fusion power plant;International Journal of Hydrogen Energy;2021-07

3. Tritium and helium embrittlement of austenitic steels used in tritium storage and delivery system;Journal of Nuclear Materials;2020-11

4. Symplectic map and mathematica for calculations of magnetic field lines and compressible resistive MHD spectra in a tokamak with hydrogen plasma;International Journal of Hydrogen Energy;2020-10

5. Dynamic Modeling and Simulation of the Fuel Delivery Process Under Time-Varying Tokamak Fuel Demand;Fusion Science and Technology;2019-10-01

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