Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM

W. C. Williams; V. Kumar; W. Gurecky; D. de Wet

doi:10.13182/T126-38126

Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM

W. C. Williams, V. Kumar, W. Gurecky, D. de Wet

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This work demonstrates new functionality and applications stemming from the development of high-fidelity to low-fidelity (high-low) coupling for system simulations and to further explore the capabilities of the Risk Analysis Virtual Environment (RAVEN) in the performance of uncertainty quantification in this kind of high-low coupled system models. The work builds from previous work on high-low coupling that utilized COBRA-TF (CTF), the high-fidelity subchannel analysis code, with a low fidelity model built in ORNL's TRANSFORM, the system analysis code, utilizing the Functional Mock-Up Interface (FMI). Steady-state and transient analysis examples using the high/low coupled models generated from CTF and TRANSFORM/FMI are investigated. The workflows for both steady-state and transient coupled simulations are described. A steady-state parameter sweep, and uncertainty analysis of the primary flow rates and reactor power are demonstrated. Likewise, a transient pump trip and power ramp sensitivity studies are also demonstrated. This work elucidates some of the potential benefits and future needs of using RAVEN for high/low system coupling analysis of energy systems. It also shows some of the difficulties that can be encountered in coupling system simulations.

Original language	English
Title of host publication	Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting
Publisher	American Nuclear Society
Pages	732-745
Number of pages	14
ISBN (Electronic)	9780894487811
DOIs	https://doi.org/10.13182/T126-38126
State	Published - 2022
Event	5th International Topical Meeting on Advances in Thermal Hydraulics 2022, ATH 2022, held in conjunction with the 2022 American Nuclear Society ,ANS Annual Meeting - Anaheim, United States Duration: Jun 12 2022 → Jun 16 2022

Publication series

Name	Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting

Conference

Conference	5th International Topical Meeting on Advances in Thermal Hydraulics 2022, ATH 2022, held in conjunction with the 2022 American Nuclear Society ,ANS Annual Meeting
Country/Territory	United States
City	Anaheim
Period	06/12/22 → 06/16/22

Funding

The authors would like to acknowledge the financial support of US Department of Energy, Office of Nuclear Energy, Crosscutting Technology Development Integrated Energy Systems program and Idaho National Laboratory.

Keywords

CTF
Coupled Simulation
Dynamic System Modeling
FMU
TRANSFORM

Access to Document

10.13182/T126-38126

Cite this

Williams, W. C., Kumar, V., Gurecky, W., & de Wet, D. (2022). Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM. In Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting (pp. 732-745). (Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting). American Nuclear Society. https://doi.org/10.13182/T126-38126

Williams, W. C. ; Kumar, V. ; Gurecky, W. et al. / Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM. Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting. American Nuclear Society, 2022. pp. 732-745 (Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting).

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title = "Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM",

abstract = "This work demonstrates new functionality and applications stemming from the development of high-fidelity to low-fidelity (high-low) coupling for system simulations and to further explore the capabilities of the Risk Analysis Virtual Environment (RAVEN) in the performance of uncertainty quantification in this kind of high-low coupled system models. The work builds from previous work on high-low coupling that utilized COBRA-TF (CTF), the high-fidelity subchannel analysis code, with a low fidelity model built in ORNL's TRANSFORM, the system analysis code, utilizing the Functional Mock-Up Interface (FMI). Steady-state and transient analysis examples using the high/low coupled models generated from CTF and TRANSFORM/FMI are investigated. The workflows for both steady-state and transient coupled simulations are described. A steady-state parameter sweep, and uncertainty analysis of the primary flow rates and reactor power are demonstrated. Likewise, a transient pump trip and power ramp sensitivity studies are also demonstrated. This work elucidates some of the potential benefits and future needs of using RAVEN for high/low system coupling analysis of energy systems. It also shows some of the difficulties that can be encountered in coupling system simulations.",

keywords = "CTF, Coupled Simulation, Dynamic System Modeling, FMU, TRANSFORM",

author = "Williams, {W. C.} and V. Kumar and W. Gurecky and {de Wet}, D.",

note = "Publisher Copyright: {\textcopyright} 2022 ATH. All Rights Reserved.; 5th International Topical Meeting on Advances in Thermal Hydraulics 2022, ATH 2022, held in conjunction with the 2022 American Nuclear Society ,ANS Annual Meeting ; Conference date: 12-06-2022 Through 16-06-2022",

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Williams, WC, Kumar, V , Gurecky, W & de Wet, D 2022, Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM. in Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting. Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting, American Nuclear Society, pp. 732-745, 5th International Topical Meeting on Advances in Thermal Hydraulics 2022, ATH 2022, held in conjunction with the 2022 American Nuclear Society ,ANS Annual Meeting, Anaheim, United States, 06/12/22. https://doi.org/10.13182/T126-38126

Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM. / Williams, W. C.; Kumar, V.; Gurecky, W. et al.
Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting. American Nuclear Society, 2022. p. 732-745 (Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM

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AU - Kumar, V.

AU - Gurecky, W.

AU - de Wet, D.

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N2 - This work demonstrates new functionality and applications stemming from the development of high-fidelity to low-fidelity (high-low) coupling for system simulations and to further explore the capabilities of the Risk Analysis Virtual Environment (RAVEN) in the performance of uncertainty quantification in this kind of high-low coupled system models. The work builds from previous work on high-low coupling that utilized COBRA-TF (CTF), the high-fidelity subchannel analysis code, with a low fidelity model built in ORNL's TRANSFORM, the system analysis code, utilizing the Functional Mock-Up Interface (FMI). Steady-state and transient analysis examples using the high/low coupled models generated from CTF and TRANSFORM/FMI are investigated. The workflows for both steady-state and transient coupled simulations are described. A steady-state parameter sweep, and uncertainty analysis of the primary flow rates and reactor power are demonstrated. Likewise, a transient pump trip and power ramp sensitivity studies are also demonstrated. This work elucidates some of the potential benefits and future needs of using RAVEN for high/low system coupling analysis of energy systems. It also shows some of the difficulties that can be encountered in coupling system simulations.

AB - This work demonstrates new functionality and applications stemming from the development of high-fidelity to low-fidelity (high-low) coupling for system simulations and to further explore the capabilities of the Risk Analysis Virtual Environment (RAVEN) in the performance of uncertainty quantification in this kind of high-low coupled system models. The work builds from previous work on high-low coupling that utilized COBRA-TF (CTF), the high-fidelity subchannel analysis code, with a low fidelity model built in ORNL's TRANSFORM, the system analysis code, utilizing the Functional Mock-Up Interface (FMI). Steady-state and transient analysis examples using the high/low coupled models generated from CTF and TRANSFORM/FMI are investigated. The workflows for both steady-state and transient coupled simulations are described. A steady-state parameter sweep, and uncertainty analysis of the primary flow rates and reactor power are demonstrated. Likewise, a transient pump trip and power ramp sensitivity studies are also demonstrated. This work elucidates some of the potential benefits and future needs of using RAVEN for high/low system coupling analysis of energy systems. It also shows some of the difficulties that can be encountered in coupling system simulations.

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BT - Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting

PB - American Nuclear Society

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Williams WC, Kumar V , Gurecky W , de Wet D. Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM. In Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting. American Nuclear Society. 2022. p. 732-745. (Proceedings of Advances in Thermal Hydraulics, ATH 2022 - Embedded with the 2022 ANS Annual Meeting). doi: 10.13182/T126-38126

Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM

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Keywords

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