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UID:pretalx-juliacon-2026-BXSHUH@pretalx.com
DTSTART;TZID=CET:20260814T123000
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DESCRIPTION:The rapid spread of AI into all aspects of society has led to a
  corresponding surge in data centers to support the exploding computing de
 mand.  Data centers are complex interconnected physical systems with therm
 al power generation\, electrical power conversion\, and cooling systems fo
 r the compute chips.  The compute load that the data center can effectivel
 y deliver is a function of the complex response of these systems including
  the associated controls for the load dispatch strategy and cascaded contr
 ols of the various subsystems.  System modeling with representation of the
  physical systems and key controls is a critical tool for understanding th
 e physical response and operation of data centers.  \n\nThis talk presents
  two different uses cases for system modeling in data centers.  The first 
 case focuses on data center operation.  High level transient models in Dya
 d\, Julia\, and ModelingToolkit of the data center load\, power generation
 \, and electrical system are shown focusing primarily on power demand and 
 supply and high-level control and dispatch.  These models are meant to cap
 ture the critical interactions between the total power demand from the com
 pute side of the data center and the required power generation provided by
  the turbines and generators.  Different operational strategies for turbin
 e scheduling will be demonstrated to assess their impact on system perform
 ance and robustness over different load profiles.  These models can addres
 s questions regarding the optimal dispatch strategy for the turbines and t
 he impact of different load management strategies on system performance.  
 Models including the effects of battery energy storage systems are develop
 ed to assess the impact of battery sizing and control strategies on the da
 ta center operation.  The impacts of various failures can also be simulate
 d with these models. These system models are suitable for simulations over
  multiple time scales.  Shorter simulations are shown to focus on load pla
 nning and the resulting transient power dynamics.  Long time horizon simul
 ations (hours\, weeks\, months) support operational and economic optimizat
 ion of data centers with SciML techniques.  \n\nThe second use case focuse
 s on multi-physics models for data center cooling.  Transient models for d
 ata center cooling are demonstrated that capture the thermal interactions 
 between the CPU and GPU and the resulting cooling system.  Built from reus
 able components in Dyad\, these models are full physical models that captu
 re the lumped thermal dynamics of the chips and cooling system at the serv
 er and rack level.  They can provide temperature predictions at the lumped
  chip level to support a higher level of fidelity in the system simulation
 s and for load planning.  These models are still suitable for long time ho
 rizon simulations as they are lumped but discretized.
DTSTAMP:20260502T104551Z
LOCATION:Room 1
SUMMARY:Data Center System Modeling with Dyad - John Batteh
URL:https://pretalx.com/juliacon-2026/talk/BXSHUH/
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