Toward DEMO power plant concept selection under epistemic uncertainty

Enrique Miralles-Dolz, Alexander Pearce, James Morris, Edoardo Patelli

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
9 Downloads (Pure)

Abstract

To make informed decisions during the concept selection activities of a nuclear fusion power plant, it is necessary to evaluate the impact of uncertainties on the feasibility and performance of each concept. A framework for uncertainty quantification and sensitivity analysis has been developed for the PROCESS systems code to allow the direct comparison of different DEMOnstration power plant (DEMO) power plant concepts. To account for epistemic uncertainty, the uncertainty quantification was based on interval analysis, where only the bounds of the interval have to be assumed for each uncertain parameter, and the uncertainty was propagated with Monte Carlo and Latin hypercube sampling. The sensitivity analysis was based on the pinching method, consisting of reducing the interval uncertainty of each input parameter to a baseline point one by one and measuring the uncertainty reduction in the output interval. Its application is shown using the European H-mode DEMO baseline as a use case. Results suggest that the thermal He-4 fraction in plasma, plasma elongation, and H-factor should be examined further to reduce risks on its feasibility.
Original languageEnglish
Pages (from-to)4440-4445
Number of pages6
JournalIEEE Transactions on Plasma Science
Volume50
Issue number11
Early online date13 Jun 2022
DOIs
Publication statusPublished - 30 Nov 2022

Keywords

  • DEMOnstration power plant (DEMO)
  • nuclear fusion
  • PROCESS
  • sensitivity analysis
  • uncertainty quantification

Fingerprint

Dive into the research topics of 'Toward DEMO power plant concept selection under epistemic uncertainty'. Together they form a unique fingerprint.

Cite this