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UID:pretalx-amfc2026-YPFXCM@modelica.simtek.cc
DTSTART;TZID=CST:20260921T162500
DTEND;TZID=CST:20260921T165000
DESCRIPTION:The operational control strategy of a refrigeration plant direc
 tly impacts its annual energy efficiency. Conventional control logic\, bas
 ed on static design conditions or time-scheduled fixed parameters\, cannot
  effectively adapt to continuous fluctuations in cooling load and meteorol
 ogical conditions. This paper employs a model-based Dymola environment to 
 develop a fullsystem model of a high-efficiency refrigeration plant and pr
 oposes a dynamic control strategy driven by hourly cooling load and outdoo
 r meteorological parameters. Based on the hourly cooling load profile of a
  public building in a hot-summer warm-winter climate zone\, the proposed s
 trategy is simulated and compared against a conventional baseline. The res
 ults indicate that the proposed strategy achieves an energy efficiency rat
 io (EER) of 6.02 over the cooling season\, representing a 19.4% improvemen
 t compared to the baseline strategy. The proposed methodology offers a pra
 ctical reference for control strategy optimization in chiller plants of la
 rge public facilities with fluctuating cooling loads\, such as airports an
 d shopping malls.
DTSTAMP:20261004T070758Z
LOCATION:(Electric) Mobility & Buildings (R2003)
SUMMARY:Control Strategy for a High-Efficiency Refrigeration Plant Based on
  Dymola Simulation: A Case Study of a Xiamen Airlines Support Facility - H
 aoran Wu\, Yuhui Wang\, Hejiang Sun
URL:https://modelica.simtek.cc/amfc2026/talk/YPFXCM/
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