Data underlying the research of Innovative control model and strategy development and applications to MSFR

DOI:10.4121/0ae20eee-97a6-4634-9f57-eb1887018fc2.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/0ae20eee-97a6-4634-9f57-eb1887018fc2

Datacite citation style

Abrate, Nicolò; Caruso, Nicolò; Dulla, Sandra; Pedroni, Nicola; Lorenzi, Stefano (2023): Data underlying the research of Innovative control model and strategy development and applications to MSFR. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0ae20eee-97a6-4634-9f57-eb1887018fc2.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The dataset refers to the research activity performed in the framework of the EU project SAMOSAFER, Task 6.3 - Innovative control model and strategy development

and applications to MSFR.


In this activity, an innovative incident detection method has been developed, aiming at improving the safety and reliability of the Molten Salt Fast Reactor

power plant, focusing on operational scenarios involving some deviations from normal operational conditions.


The data-driven incident detection and classification methodology (based on the kNN algorithm) aims at identifying abnormal plant conditions thanks to a

continuous monitoring of some measurable system parameters and variables (e.g., the molten salt temperatures in the secondary circuit).


In order to train the algorithm, a set of numerical, time-dependent simulation is carried out at the system-level (primary circuit, secondary circuit and

balance of plant) with the Modelica language.

History

  • 2023-12-06 first online, published, posted

Publisher

4TU.ResearchData

Format

application/m, data/mat, data/dat, data/txt

Funding

  • Severe Accident Modeling and Safety Assessment for Fluid-fuel Energy Reactors (grant code 847527) [more info...] Euratom

Organizations

Politecnico di Torino, Energy Department

DATA

Files (13)