A novel frequency domain maximum likelihood approach for estimating transport coefficients in cylindrical geometry for nuclear fusion devices

Matthijs van Berkel, Gerardus W. Oosterwegel, Martijn Anthonissen, Hans J. Zwart, Gerd Vandersteen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)
3 Downloads (Pure)

Samenvatting

This paper introduces a novel maximum likelihood approach to determine the local thermal transport coefficients belonging to diffusion and convection from excitation (perturbative) transport experiments. It extends previous work developed for linear (slab) geometry to cylindrical (toroidal) geometry for fusion reactors. The previous linear geometry approach is based on analytic solutions of the partial differential equation. However, for cylindrical geometries with convection the analytic solutions are confluent hypergeometric functions (CHFs) with complex valued arguments. Most numerical libraries do not support CHFs evaluation with complex valued arguments. Hence, this paper proposes the use of an ultra-fast transfer function evaluation based on sparse numerical solutions for the discretized partial differential equation. This solution is implemented in MATLAB

Originele taal-2Engels
Titel2019 IEEE 58th Conference on Decision and Control, CDC 2019
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's3220-3226
Aantal pagina's7
ISBN van elektronische versie9781728113982
DOI's
StatusGepubliceerd - dec 2019
Evenement58th IEEE Conference on Decision and Control (CDC 2019) - Nice, Frankrijk
Duur: 11 dec 201913 dec 2019
https://cdc2019.ieeecss.org/

Congres

Congres58th IEEE Conference on Decision and Control (CDC 2019)
Verkorte titelCDC 2019
LandFrankrijk
StadNice
Periode11/12/1913/12/19
Internet adres

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