Neutronics Simulations for DEMO Diagnostics.
DEMO
MCNP
diagnostics
neutronics
nuclear fusion
tokamaks
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
26 May 2023
26 May 2023
Historique:
received:
28
04
2023
revised:
24
05
2023
accepted:
25
05
2023
medline:
12
6
2023
pubmed:
10
6
2023
entrez:
10
6
2023
Statut:
epublish
Résumé
One of the main challenges in the development of a plasma diagnostic and control system for DEMO is the need to cope with unprecedented radiation levels in a tokamak during long operation periods. A list of diagnostics required for plasma control has been developed during the pre-conceptual design phase. Different approaches are proposed for the integration of these diagnostics in DEMO: in equatorial and upper ports, in the divertor cassette, on the inner and outer surfaces of the vacuum vessel and in diagnostic slim cassettes, a modular approach developed for diagnostics requiring access to the plasma from several poloidal positions. According to each integration approach, diagnostics will be exposed to different radiation levels, with a considerable impact on their design. This paper provides a broad overview of the radiation environment that diagnostics in DEMO are expected to face. Using the water-cooled lithium lead blanket configuration as a reference, neutronics simulations were performed for pre-conceptual designs of in-vessel, ex-vessel and equatorial port diagnostics representative of each integration approach. Flux and nuclear load calculations are provided for several sub-systems, along with estimations of radiation streaming to the ex-vessel for alternative design configurations. The results can be used as a reference by diagnostic designers.
Identifiants
pubmed: 37299832
pii: s23115104
doi: 10.3390/s23115104
pmc: PMC10255847
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Euratom Research and Training Programme
ID : 101052200
Organisme : Fundação para a Ciência e Tecnologia
ID : PD/BD/135230/2017
Références
Philos Trans A Math Phys Eng Sci. 2019 Mar 25;377(2141):20170432
pubmed: 30967047
Rev Sci Instrum. 2022 Oct 1;93(10):103539
pubmed: 36319374
Sensors (Basel). 2023 Apr 12;23(8):
pubmed: 37112274