Products - ENSO

The training program is designed to provide knowledge in PWR reactor modelling and transient analysis using RELAP5-based codes. This course is aimed at companies that need to train their staff in model generation and/or improvement, as well as in the phenomenology of DBA or DEC-A scenarios. The program is structured in consecutive modules to ensure solid and effective consolidation of knowledge.

Please do not hesitate to contact us if you have any questions: info@ensobcn.com.

RELAP5 Training Programme	MODULE 1	MODULE 2	MODULE 3	MODULE 4	MODULE 5
Title	Introduction to RELAP5 code	Basic PWR model with RELAP5	Advanced PWR model with RELAP5	Design basis scenario analysis with RELAP5	BEPU (Best Estimate Plus Uncertainty) analysis with the IUA2.0 module of the RELAP/SCDAPSIM code
Level	Beginner	Intermediate	Advanced	Advanced	Advanced
Prerequisites	None	MODULE 1 or basic RELAP5 skills	MODULE 2 or intermediate RELAP5 skills	MODULE 3 or intermediate RELAP5 skills	MODULE 4
Code	Code RELAP5-based	Code RELAP5-based	Code RELAP5-based	Code RELAP5-based	IUA2.0 module integrated into RELAP/SCDAPSIM or ASYST
Duration	3 days, 6 hours/day	3 days, 6 hours/day	5 days, 6 hours/day	5 days, 6 hours/day	3 days, 6 hours/day
Location	Virtual/in-person	Virtual/in-person	Virtual/in-person	Virtual/in-person	Virtual/in-person
Overview	Practical introductory course to RELAP5 code	Practical course on RELAP5 based on a simplified PWR model and model improvement	Practical course on RELAP5 for the simulation of steady-state conditions and transient conditions	Theoretical-practical course analyzing two RELAP5 scenarios: LOCA (SBLOCA, IBLOCA, LBLOCA) and others (SBO, MSLB).	Theoretical-practical course on statistical BEPU using Wilks' formula with IUA2.0 in RELAP/SCDAPSIM and ASYST codes.
After completing this training, participants will have developed the following skills:	Knowledge and skills in RELAP5: use of components, modelling, control, analysis of results and consultation of technical manuals.	Skills to model and interpret RELAP5 inputs, simulate PWR cores, and analyze results from RELAP5 simulations effectively.	Understanding and skills to model PWR control systems with RELAP5 to achieve steady-state conditions.	Practical skills to model accident scenarios, deeper understanding of phenomenology, and overview of deterministic safety analyzes.	Overview of BEPU methods, practical skills in BEPU statistical analysis, and hands-on use of the IUA2.0 module.

ENSO, in collaboration with Professor Jordi Freixa (UPC, Spain) and Professor Taewan Kim (Incheon National University, Korea), offers a course on the simulation of iPWR-type SMRs.

This course is aimed at users with intermediate experience in the use of system codes and its main objectives are to model, from scratch, an iPWR-type reactor using public information, as well as to evaluate the response capacity of passive safety systems in an SBO scenario.

ENSO is an authorized distributor of the RELAP/SCDAPSIM code by ISS. It also provides technical support for this version, both at user level and in code development. ENSO has extensive experience in the use of RELAP and SCDAP for nuclear system modelling, as well as in code development to support updates and new designs.

ENSO has developed an integrated module in RELAP/SCDAPSIM for uncertainty and sensitivity analysis. This module allows variability to be introduced into the input parameters and the code, using both continuous and discrete probability functions. It also generates tolerance limits in accordance with the BEPU statistical methodology based on Wilks' formula. In addition, it calculates the correlation coefficients between the input and output parameters, and the significance coefficients.

The image shows how the IUA2.0 module allows the selected parameters and their associated uncertainty (see left image) to be easily transferred to the input file (see right image), so that the programme can automatically perform simple random sampling.

IUA2.0 allows the entry of both internal code parameters, ‘SOURCE code’, and ‘INPUT’ parameters. For the internal code parameters, the module includes a series of alphanumeric references that allow the different correlation coefficients to be identified. As for the input parameters, the module allows the identification of the ‘card’ within the system model, as well as the word number to be modified. With regard to uncertainty functions (PDFs), in both cases an alphanumeric reference allows the selection of the type of function (UD, ND, BU) as well as the maximum and minimum values, average and standard deviation, among others.

For scalar outputs, the IUA2.0 module calculates Pearson, Spearman, and Kendall correlation coefficients, along with their significance coefficients, thus facilitating the analysis of the results. The image shows an example of Spearman correlation coefficients and their corresponding significance values, calculated by the IUA2.0 module according to the Student's t-distribution.

ENSO is an authorized distributor of Future Rhys' RHYS modelling editor. This tool allows nodalisation to be generated directly from a graphical environment, such as translating ASCII models of RELAP5-based codes into graphical representations that enable system visualization, as well as the generation of graphs and the reading of simulation parameters.

OUR PRODUCTS

Training program on the use of the RELAP5 code

Annual course on iPWR SMR simulation at ETSEIB (UPC, Barcelona) using RELAP5, TRACE, MARS and SPACE system codes.

RELAP/SCDAPSIM code (Innovative Systems Software, ISS)

IUA2.0 module for uncertainty and sensitivity analysis.

RHYS Modelling Editor (Future Rhys)

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