Saline: An API for Thermophysical Properties

Henderson, S.; Agca, Can; McMurray, Jake; Lefebvre, Robert A

doi:10.2172/1823319

Cited by 4 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These two modules are separated to allow the opportunity for the client to implement alternative data implementations without extensive effort to modify Saline to adopt it. Default_Data_Store is what accesses MSTDB-TP and is what is recommended for current use with Saline [3].…”

Section: Salinementioning

confidence: 99%

An Overview of the Molten Salt Thermal Properties Database–Thermophysical, Version 2.1.1 (MSTDB-TP v.2.1.1)

Termini¹,

Birri²,

Henderson³

et al. 2023

View full text Add to dashboard Cite

This report presents the current status of the Molten Salt Thermal Properties Database-Thermophysical (MSTDB-TP). Building off of MSTDB-TP and through the direction of the Roadmap for Thermal Property Measurement of Molten Salt Reactor Systems [1], MSTDB-TP v2.1.1 has now been released, containing a total 448 salt entries (data from 140+ independent studies), an increase compared with the original commit of 62 [2, 3], and containing thermophysical properties, including density, viscosity, thermal conductivity, and heat capacity. Along with the new database release, the further advancement of Saline, which is a C++ application programming interface, and a graphical user interface have facilitated increased user/developer interaction with the database. Furthermore, estimation techniques, first principles calculations (ab initio), and interpolation/extrapolation methods (Redlich-Kister/Muggianu) have shown great promise in the future of thermophysical property determination for filling out compositional spaces and investigating experimentally difficult salts (hazardous and/or expensive). This report describes the database composition, the development and advancement of database tools, and the strategy of advancing and implementing estimation data into future iterations of the database for MSTDB-TP.

show abstract

Section: Salinementioning

confidence: 99%

An Overview of the Molten Salt Thermal Properties Database–Thermophysical, Version 2.1.1 (MSTDB-TP v.2.1.1)

Termini¹,

Birri²,

Henderson³

et al. 2023

View full text Add to dashboard Cite

show abstract

“…To demonstrate the performance of the gas transport model for geometry and conditions of interest, it was used in modeling reactivity insertion and flow change transients in MSRE. A final activity for improving the SAM MSR support was integration of the Saline salt thermophysical property database [40], which provides an interface to the Molten Salt Thermal Database-Thermophysical (MSTDB-TP) [41]. ANL/NSE-22/56…”

Section: Updates Of Sam Gas Transport Modelmentioning

confidence: 99%

Development of Integrated Thermal Fluids Modeling Capability for MSRs

Fang

Nunez

et al. 2022

View full text Add to dashboard Cite

The DOE Nuclear Energy Advanced Modeling and Simulation (NEAMS) program supports a full range of computational thermal fluids analysis capabilities and code developments for a broad class of light-water and advanced reactor concepts. The research and development approach under thermal fluids technical area synergistically combines three length and time scales in a hierarchal multi-scale approach. To demonstrate the feasibility and capabilities of a multi-scale thermal fluids capability using these codes, a key joint effort has been pursued to develop an integrated systemand engineering-scale thermal fluids analysis capability with the MOOSE-based codes, through integration of SAM and Pronghorn, both based on the MOOSE framework.

show abstract

“…While the current format of the database is a CSV file, an API called Saline [64] has been created to facilitate accessing the data with a Python user interface. Saline also features an interface written in C++ with functionality to pass the data from MSTDB-TP to MOOSE-based reactor analysis codes such as those described in the other sections in this report.…”

Section: Mstdb-tp and Salinementioning

confidence: 99%

“…Some demonstrations were performed for steady state conditions and flow change transients in the MSRE geometry to show the impact on bubble distribution in the model. Preliminary testing of integration with Saline [64] to allow user selection of salt thermophysical properties was accomplished as well. At a high-level, this new code functionality offers the ability to transport bubbles around a loop as a function of gas injection source terms, thus providing as output the interfacial area that is necessary to estimate species transport across phases.…”

Section: Sammentioning

confidence: 99%