Molten salt reactor system dynamics in simulink and modelica, a code to code comparison

Visura Pathirana; Sarah Elizabeth Creasman; Ondřej Chvála; Steve Skutnik

doi:10.1016/j.nucengdes.2023.112484

Molten salt reactor system dynamics in simulink and modelica, a code to code comparison

Visura Pathirana
, Sarah Elizabeth Creasman
, Ondřej Chvála
, Steve Skutnik

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Understanding reactor dynamics is essential for the development of MSRs. Modern computational software allows rapid development and simulation of multiphysics systems. As such, MSRs can be simulated in various programming languages to study their behavior. Meanwhile, employing various software environments and methods can help ensure that simulation results are accurate and openly accessible to the broader research community. In this publication, two variations of software implementation for an MSR dynamic modeling tool in MATLAB Simulink and OpenModelica are compared. A code-to-code comparison is conducted, and both implementations are benchmarked for accuracy and simulation run time. In addition to the benchmark, a pilot quality assurance program is introduced for the implementation of the OpenModelica model. Finally, a multi-parameter sensitivity analysis is performed to demonstrate possible applications of the Modelica model.

Original language	English
Article number	112484
Journal	Nuclear Engineering and Design
Volume	413
Early online date	Nov 2023
DOIs	https://doi.org/10.1016/j.nucengdes.2023.112484
State	Published - Nov 2023
Externally published	Yes

Keywords

Dynamics
Modelica
Molten salt reactor
Multiphysics
Simulink

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10.1016/j.nucengdes.2023.112484

Cite this

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title = "Molten salt reactor system dynamics in simulink and modelica, a code to code comparison",

abstract = "Understanding reactor dynamics is essential for the development of MSRs. Modern computational software allows rapid development and simulation of multiphysics systems. As such, MSRs can be simulated in various programming languages to study their behavior. Meanwhile, employing various software environments and methods can help ensure that simulation results are accurate and openly accessible to the broader research community. In this publication, two variations of software implementation for an MSR dynamic modeling tool in MATLAB Simulink and OpenModelica are compared. A code-to-code comparison is conducted, and both implementations are benchmarked for accuracy and simulation run time. In addition to the benchmark, a pilot quality assurance program is introduced for the implementation of the OpenModelica model. Finally, a multi-parameter sensitivity analysis is performed to demonstrate possible applications of the Modelica model.",

keywords = "Dynamics, Modelica, Molten salt reactor, Multiphysics, Simulink",

author = "Visura Pathirana and Creasman, \{Sarah Elizabeth\} and Ond{\v r}ej Chv{\'a}la and Steve Skutnik",

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year = "2023",

month = nov,

doi = "10.1016/j.nucengdes.2023.112484",

language = "English",

volume = "413",

journal = "Nuclear Engineering and Design",

issn = "0029-5493",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Molten salt reactor system dynamics in simulink and modelica, a code to code comparison

AU - Pathirana, Visura

AU - Creasman, Sarah Elizabeth

AU - Chvála, Ondřej

AU - Skutnik, Steve

PY - 2023/11

Y1 - 2023/11

N2 - Understanding reactor dynamics is essential for the development of MSRs. Modern computational software allows rapid development and simulation of multiphysics systems. As such, MSRs can be simulated in various programming languages to study their behavior. Meanwhile, employing various software environments and methods can help ensure that simulation results are accurate and openly accessible to the broader research community. In this publication, two variations of software implementation for an MSR dynamic modeling tool in MATLAB Simulink and OpenModelica are compared. A code-to-code comparison is conducted, and both implementations are benchmarked for accuracy and simulation run time. In addition to the benchmark, a pilot quality assurance program is introduced for the implementation of the OpenModelica model. Finally, a multi-parameter sensitivity analysis is performed to demonstrate possible applications of the Modelica model.

AB - Understanding reactor dynamics is essential for the development of MSRs. Modern computational software allows rapid development and simulation of multiphysics systems. As such, MSRs can be simulated in various programming languages to study their behavior. Meanwhile, employing various software environments and methods can help ensure that simulation results are accurate and openly accessible to the broader research community. In this publication, two variations of software implementation for an MSR dynamic modeling tool in MATLAB Simulink and OpenModelica are compared. A code-to-code comparison is conducted, and both implementations are benchmarked for accuracy and simulation run time. In addition to the benchmark, a pilot quality assurance program is introduced for the implementation of the OpenModelica model. Finally, a multi-parameter sensitivity analysis is performed to demonstrate possible applications of the Modelica model.

KW - Dynamics

KW - Modelica

KW - Molten salt reactor

KW - Multiphysics

KW - Simulink

UR - https://www.scopus.com/pages/publications/85165191038

U2 - 10.1016/j.nucengdes.2023.112484

DO - 10.1016/j.nucengdes.2023.112484

M3 - Article

AN - SCOPUS:85165191038

SN - 0029-5493

VL - 413

JO - Nuclear Engineering and Design

JF - Nuclear Engineering and Design

M1 - 112484

ER -

Molten salt reactor system dynamics in simulink and modelica, a code to code comparison

Abstract

Keywords

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