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DOE OSTI · 3024967

Novel Results Visualization for Dynamic PSA and New Modeling Features in EMRALD

Prescott, Steven R [Idaho National Laboratory] (ORCID:0000000287172360)·Nevius, Daniel M [Idaho National Laboratory]·Nielson, Jared [Idaho National Laboratory]
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Abstract

The Event Modeling Risk Assessment Linked Diagram (EMRALD) tool, developed at the Idaho National Laboratory (INL), was designed to simplify the creation of dynamic models and support various research projects. One of the primary goals of EMRALD was to provide visual methods for modeling. EMRALD consists of two main components: a web-based user interface for model development and a solve engine for running model simulations. Over time, it has evolved to meet the diverse needs of its users. Initially, EMRALD's results were simple text outputs with final key state percentages and uncertainty bounds. However, because EMRALD utilizes a three-phase discrete event simulation and tracks the paths of each simulation run leading to a key state, there is significant potential to analyze large sets of path results data, including state paths, events, and timing. Visualizing this data meaningfully posed a challenge. To address this, a novel time-based Sankey diagram was developed. EMRALD exports results data in a format that can be opened in this Sankey viewer, allowing users to visualize paths, occurrences, events, and probability data for the entire simulation run in a single diagram. Moreover, when EMRALD was first created, there were limited tools capable of meeting its graphical requirements, many of which are no longer supported. In 2024, a new web-based interface was developed using modern graphing tools, enabling additional modeling features. This paper discusses the new dynamic PSA results visualization capability and the enhanced modeling tools available in EMRALD.

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Prescott, Steven R [Idaho National Laboratory] (ORCID:0000000287172360), Nevius, Daniel M [Idaho National Laboratory], Nielson, Jared [Idaho National Laboratory]. 2025-07-17. Novel Results Visualization for Dynamic PSA and New Modeling Features in EMRALD. https://doi.org/10.13182/psa2025-46565

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