A three-layer co-design optimization using digital twins and surrogate modeling for CDU partitioning and flow control in HPC cooling plants achieves 35.48% annual energy savings, nearly matching the current Frontier design while reducing assignment sensitivity by 93%.
Equation- based object-oriented modeling and simulation of data center cooling systems,
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Co-Design Optimization for Data Center Cooling System via Digital Twin
A three-layer co-design optimization using digital twins and surrogate modeling for CDU partitioning and flow control in HPC cooling plants achieves 35.48% annual energy savings, nearly matching the current Frontier design while reducing assignment sensitivity by 93%.