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UID:pretalx-amfc2026-9JXXRT@modelica.simtek.cc
DTSTART;TZID=CST:20260921T120500
DTEND;TZID=CST:20260921T123000
DESCRIPTION:Existing Modelica libraries have demonstrated effective modelin
 g of sCO2 systems. However\, the influence of momentum-equation formulatio
 n on solver behavior has not been systematically quantified under an ident
 ical system model and consistent numerical settings. This study develops a
  one-dimensional dynamic Modelica model of an sCO2 Brayton power system an
 d systematically compares four momentum-equation formulations within the s
 ame system under identical numerical settings\, quantitatively examining h
 ow state selection\, flow inertia\, and pressure feedback affect solver st
 eps\, Jacobian evaluations\, and error-dominant variables. The conventiona
 l steady-state algebraic momentum formulation is compared with three diffe
 rential formulations incorporating flow inertia\, and their computational 
 performance is assessed under both steadystate and transient conditions. F
 or the investigated system model and operating cases\, the differential fo
 rmulations containing a mass-flow derivative term completed the transient 
 simulations\, whereas the conventional steadystate algebraic formulation d
 id not converge under the same numerical settings. Furthermore\, by introd
 ucing a first-order inertia term for the average pipe flow rate together w
 ith inlet/outlet pressure feedback\, the steadystate computation time is r
 educed from 750.5 s to 73.2 s\, the number of transient solver steps decre
 ases from 7878 to 3967\, the number of Jacobian evaluations is reduced by 
 52.8%\, and the occurrence frequencies of the reported error-dominant vari
 ables decrease by approximately 62% to 77% relative to Fluid Equation 2. T
 hese results provide a quantitative\, model-specific characterization of h
 ow state selection\, flow inertia\, and pressure feedback affect solver be
 havior under the tested conditions.
DTSTAMP:20261004T070811Z
LOCATION:Modelica Technology & AI (R1001)
SUMMARY:Research on Simulation Efficiency of Supercritical Carbon Dioxide B
 rayton Power Generation System Based on Modelica - Siqiang Yi\, Baodi Zhan
 g
URL:https://modelica.simtek.cc/amfc2026/talk/9JXXRT/
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