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UID:pretalx-amfc2026-AGJPFK@modelica.simtek.cc
DTSTART;TZID=CST:20260922T110500
DTEND;TZID=CST:20260922T113000
DESCRIPTION:Complex thermodynamic cycle systems play a critical role in adv
 anced energy applications\, where modeling and simulation constitute a fun
 damental component of Model-Based Systems Engineering (MBSE). Conventional
  sequential modular approaches rely heavily on predefined calculation sequ
 ences and empirical parameter settings\, leading to limited adaptability f
 or complex cycle topologies with strong coupling\, flow splitting\, and mu
 ltiple recuperation processes. This study proposes an equation-oriented (E
 O) modeling framework for thermodynamic cycle systems\, in which the entir
 e cycle is formulated as a coupled nonlinear algebraic equation system and
  solved simultaneously. Standardized algebraic component models are establ
 ished for compressors\, turbines\, and recuperators. An ε–NTU-based hea
 t exchanger formulation is adopted to avoid the predefined minimum tempera
 ture difference commonly required in conventional approaches. In addition\
 , a bi-level solution strategy combining outerlayer parameter scanning and
  inner-layer Newton iterations is introduced to handle additional design d
 egrees of freedom. The proposed framework is validated using supercritical
  CO₂ simple recuperated and recompression Brayton cycles. Simulation res
 ults show that the predicted cycle efficiencies agree well with published 
 reference data\, with deviations below 1% under all investigated operating
  conditions. The framework demonstrates stable convergence behavior and st
 rong adaptability to complex thermodynamic topologies. The proposed approa
 ch exhibits acausal\, modular\, and topology-decoupled characteristics con
 sistent with the declarative modeling philosophy of Modelica. It provides 
 a unified and extensible solution framework for MBSEoriented modeling and 
 simulation of complex thermodynamic energy systems.
DTSTAMP:20261004T074030Z
LOCATION:FMI & MBSE (R2001)
SUMMARY:An Equation-Oriented Modeling Framework for Thermodynamic Cycle Sys
 tems toward MBSE: A Case Study on Supercritical CO₂ Brayton Cycles - Xin
 yu Bai\, Genglei Xia\, Tao Zhou\, Guanghui Jiao
URL:https://modelica.simtek.cc/amfc2026/talk/AGJPFK/
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