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UID:pretalx-amfc2026-NAA3GM@modelica.simtek.cc
DTSTART;TZID=CST:20260921T114000
DTEND;TZID=CST:20260921T120000
DESCRIPTION:Nuclear power plants must identify and analyze diverse transien
 t events from long-term (often decades of) historical operating data to su
 pport unit life-extension and decommissioning assessments. Traditionally\,
  this work relied on analysts manually labeling events against empirical r
 ules\, labor-intensive\, slow\, and prone to subjective misjudgment.\nOur 
 approach. We reformulated transient-determination rules as algorithmic log
 ic and implemented them in MUUSE\, our in-house Modelica-based graphical s
 imulation and modeling platform. Leveraging Modelica's mature libraries\, 
 hierarchical modeling paradigm\, and standardized encapsulation\, we built
 \, tested\, and optimized the logic using standard and custom libraries\, 
 realizing identification\, classification\, key-event-information extracti
 on\, and alarming. To integrate with heterogeneous platforms\, the logic w
 as packaged as a standalone FMU for unified scheduling by the algorithm sc
 heduling platform. Because the logic is authored in MUUSE on Windows yet m
 ust run on a Linux-based algorithm scheduling platform\, the FMU is repack
 aged for the Linux host.\nTakeaways. The deployment markedly improves tran
 sient-determination efficiency and consistency of results\, demonstrating 
 how Modelica and FMI enable industrial-scale operational-data mining. Cros
 s-platform validation shows consistent trajectory agreement between the Wi
 ndows-host and Linux-host FMU across representative transients\, demonstra
 ting that the open FMI sources mechanism enables reproducible\, cross-plat
 form deployment of Modelica models on domestic Linux stacks. The talk will
  present the modeling methodology\, FMU encapsulation workflow\, and lesso
 ns learned from deployment.\n**Keywords:** Modelica\; FMU\; transient iden
 tification\; operational data mining\; nuclear power
DTSTAMP:20261004T070536Z
LOCATION:Energy (R2002)
SUMMARY:Application of Modelica in Developing a Nuclear Power Transient Ide
 ntification Module(IUP) - Kuolei Feng\, Wei Qi
URL:https://modelica.simtek.cc/amfc2026/talk/NAA3GM/
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