BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//modelica.simtek.cc//amfc2026//speaker//8HH7RP
BEGIN:VTIMEZONE
TZID:CST
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1
TZNAME:CST
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-amfc2026-A7F8VL@modelica.simtek.cc
DTSTART;TZID=CST:20260921T144000
DTEND;TZID=CST:20260921T150500
DESCRIPTION:Conventional simulation methods relying on single models or emp
 irical formulas fail to support intelligent\, full-lifecycle simulation an
 d verification for complex systems such as marine power systems. Multi-dom
 ain modeling languages like Modelica\, while powerful\, remain at the tool
  level and cannot resolve bottlenecks in data fusion\, high-confidence sim
 ulation\, or closed-loop verification. To overcome these limitations\, thi
 s paper proposes a system simulation methodology based on data\, models\, 
 and mock-ups. The methodology integrates fulllifecycle multi-source data i
 nto simulation\, employs simulation models to construct a digital mock-up\
 , and achieves tight integration and closed-loop iteration among data\, mo
 dels\, and the physical mock-up among data\, models\, and the physical moc
 k-up\, thereby establishing high-confidence system-level simulation across
  design\, testing\, service\, and maintenance. A digital twin of a marine 
 power system is developed using Modelica with real-time multi-dimensional 
 data interaction. Experimental validation under four typical operating con
 ditions (shutdown\, 0kW\, 30kW\, 60kW) shows that simulated key parameters
  (steam pressure\, turbine speed\, output power) agree closely with measur
 ed values\, with all relative errors controlled within 8%. These results d
 emonstrate the feasibility\, practicality\, and engineering applicability 
 of the proposed methodology\, confirming that integrating data\, models\, 
 and mock-ups effectively supports intelligent full-lifecycle operation and
  maintenance of complex systems and provides an implementable pathway for 
 the intelligent transformation of systems engineering.
DTSTAMP:20261004T070711Z
LOCATION:FMI & MBSE (R2001)
SUMMARY:Simulation and Verification of Marine Power System Based on Data\, 
 Models\, and Mock-ups - Ziyi Zou\, Luotao Xie\, Ruirui Zeng\, Yangzeng Xu\
 , Guobing Chen\, Zichun Yang
URL:https://modelica.simtek.cc/amfc2026/talk/A7F8VL/
END:VEVENT
END:VCALENDAR