Toward DEMO power plant concept selection under epistemic uncertainty

Miralles-Dolz, Enrique and Pearce, Alexander and Morris, James and Patelli, Edoardo (2022) Toward DEMO power plant concept selection under epistemic uncertainty. IEEE Transactions on Plasma Science. pp. 1-6. ISSN 0093-3813 (https://doi.org/10.1109/tps.2022.3180233)

[thumbnail of Miralles-Dolz-etal-IEEE-TPS-2022-Toward-DEMO-power-plant-concept-selection]
Preview
Text. Filename: Miralles_Dolz_etal_IEEE_TPS_2022_Toward_DEMO_power_plant_concept_selection.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (8MB)| Preview

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.

ORCID iDs

Miralles-Dolz, Enrique, Pearce, Alexander, Morris, James and Patelli, Edoardo ORCID logoORCID: https://orcid.org/0000-0002-5007-7247;