Mathematical modeling using batch scheduling approach for optimal tritium inventory in the ISS of the ITER fuel cycle
An optimal model to schedule fuel regeneration is developed for the Tokamak Cryopumps and Cryogenic Viscous Compressors (CVCs) of the fuel cycle of ITER. The objective is to minimize the tritium inventory inside the Isotope Separation Systems (ISS) while supplying the tokamak’s required amount of fu...
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| Veröffentlicht in: | Fusion engineering and design 2021-09, Vol.170, p.112420, Article 112420 |
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| creator | Lee, Suh-Young Lee, Jae-Uk Chang, Min Ho Ha, Jin-Kuk Lee, In-Beum Lee, Min-Kyung Lee, Euy Soo |
| description | An optimal model to schedule fuel regeneration is developed for the Tokamak Cryopumps and Cryogenic Viscous Compressors (CVCs) of the fuel cycle of ITER. The objective is to minimize the tritium inventory inside the Isotope Separation Systems (ISS) while supplying the tokamak’s required amount of fuel considering fueling stages: ramp-up, flat-top, and ramp-down for each tokamak operation mode (Inductive, Hybrid, and Non-Inductive). Case studies of CVC regeneration times are presented to illustrate how CVC regeneration affects the ISS tritium working inventory. Results showed that nine iterations of CVC regeneration are enough to maintain ISS working tritium inventory management during Non-Inductive tokamak operation mode. The developed model uses mixed integer linear programming of the state-task network. |
| doi_str_mv | 10.1016/j.fusengdes.2021.112420 |
| format | Article |
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The objective is to minimize the tritium inventory inside the Isotope Separation Systems (ISS) while supplying the tokamak’s required amount of fuel considering fueling stages: ramp-up, flat-top, and ramp-down for each tokamak operation mode (Inductive, Hybrid, and Non-Inductive). Case studies of CVC regeneration times are presented to illustrate how CVC regeneration affects the ISS tritium working inventory. Results showed that nine iterations of CVC regeneration are enough to maintain ISS working tritium inventory management during Non-Inductive tokamak operation mode. The developed model uses mixed integer linear programming of the state-task network.</description><identifier>ISSN: 0920-3796</identifier><identifier>EISSN: 1873-7196</identifier><identifier>DOI: 10.1016/j.fusengdes.2021.112420</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Compressors ; Cryopumping ; CVC ; Fuel cycle ; Fuel cycles ; Fuels ; Integer programming ; Inventory ; Inventory management ; Isotope separation ; Linear programming ; Mixed integer ; Nuclear power plants ; Regeneration ; RPS ; Schedules ; TCP ; Tokamak devices ; Tritium ; Tritium inventory</subject><ispartof>Fusion engineering and design, 2021-09, Vol.170, p.112420, Article 112420</ispartof><rights>2021</rights><rights>Copyright Elsevier Science Ltd. 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The developed model uses mixed integer linear programming of the state-task network.</description><subject>Compressors</subject><subject>Cryopumping</subject><subject>CVC</subject><subject>Fuel cycle</subject><subject>Fuel cycles</subject><subject>Fuels</subject><subject>Integer programming</subject><subject>Inventory</subject><subject>Inventory management</subject><subject>Isotope separation</subject><subject>Linear programming</subject><subject>Mixed integer</subject><subject>Nuclear power plants</subject><subject>Regeneration</subject><subject>RPS</subject><subject>Schedules</subject><subject>TCP</subject><subject>Tokamak devices</subject><subject>Tritium</subject><subject>Tritium inventory</subject><issn>0920-3796</issn><issn>1873-7196</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFUFFLwzAQDqLgnP4GAz63JmmXto9jTB0ogpvPIUsuW0bXzCQd7N-bWfFVOO4-jvu-u_sQuqckp4Tyx11u-gDdRkPIGWE0p5SVjFygEa2rIqtowy_RiDSMZEXV8Gt0E8KOEFqlGKH-TcYt7GW0SrZ47zS0ttvgPpzzWka1xUFtQfc_bXk4eCdTzziP3SHafSJFb6Pt99h2R-ii86eEcBLFi-USOzPA1fwDmx5arE6qhVt0ZWQb4O63jtHn03w1e8le358Xs-lrpoqyiBmruQajGtBQFoSsDVclNVDWheaMKFlrUxrQujZM1lUNawBOTWO4NpNGAi_G6GHQTWd_9RCi2Lned2mlYBNeV6RoqvNUNUwp70LwYMTBp8_8SVAizh6LnfjzWJw9FoPHiTkdmJCeOFrwIigLnQJtPagotLP_anwDKxCMPw</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Lee, Suh-Young</creator><creator>Lee, Jae-Uk</creator><creator>Chang, Min Ho</creator><creator>Ha, Jin-Kuk</creator><creator>Lee, In-Beum</creator><creator>Lee, Min-Kyung</creator><creator>Lee, Euy Soo</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-8940-8357</orcidid></search><sort><creationdate>202109</creationdate><title>Mathematical modeling using batch scheduling approach for optimal tritium inventory in the ISS of the ITER fuel cycle</title><author>Lee, Suh-Young ; Lee, Jae-Uk ; Chang, Min Ho ; Ha, Jin-Kuk ; Lee, In-Beum ; Lee, Min-Kyung ; Lee, Euy Soo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c343t-286defc9ede4300bf6c41fe483d620ca8df4fedd8f2a878ebee61f9f6df59ae63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Compressors</topic><topic>Cryopumping</topic><topic>CVC</topic><topic>Fuel cycle</topic><topic>Fuel cycles</topic><topic>Fuels</topic><topic>Integer programming</topic><topic>Inventory</topic><topic>Inventory management</topic><topic>Isotope separation</topic><topic>Linear programming</topic><topic>Mixed integer</topic><topic>Nuclear power plants</topic><topic>Regeneration</topic><topic>RPS</topic><topic>Schedules</topic><topic>TCP</topic><topic>Tokamak devices</topic><topic>Tritium</topic><topic>Tritium inventory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Suh-Young</creatorcontrib><creatorcontrib>Lee, Jae-Uk</creatorcontrib><creatorcontrib>Chang, Min Ho</creatorcontrib><creatorcontrib>Ha, Jin-Kuk</creatorcontrib><creatorcontrib>Lee, In-Beum</creatorcontrib><creatorcontrib>Lee, Min-Kyung</creatorcontrib><creatorcontrib>Lee, Euy Soo</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Fusion engineering and design</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Suh-Young</au><au>Lee, Jae-Uk</au><au>Chang, Min Ho</au><au>Ha, Jin-Kuk</au><au>Lee, In-Beum</au><au>Lee, Min-Kyung</au><au>Lee, Euy Soo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mathematical modeling using batch scheduling approach for optimal tritium inventory in the ISS of the ITER fuel cycle</atitle><jtitle>Fusion engineering and design</jtitle><date>2021-09</date><risdate>2021</risdate><volume>170</volume><spage>112420</spage><pages>112420-</pages><artnum>112420</artnum><issn>0920-3796</issn><eissn>1873-7196</eissn><abstract>An optimal model to schedule fuel regeneration is developed for the Tokamak Cryopumps and Cryogenic Viscous Compressors (CVCs) of the fuel cycle of ITER. 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| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Compressors Cryopumping CVC Fuel cycle Fuel cycles Fuels Integer programming Inventory Inventory management Isotope separation Linear programming Mixed integer Nuclear power plants Regeneration RPS Schedules TCP Tokamak devices Tritium Tritium inventory |
| title | Mathematical modeling using batch scheduling approach for optimal tritium inventory in the ISS of the ITER fuel cycle |
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