Multi-objective layout optimization of a generic hybrid-cooled data centre blade server

Assel Sakanova,Sajad Alimohammadi,Jaakko McEvoy,Sara Battaglioli,Tim Persoons

Applied Thermal Engineering（2019）

引用 8|浏览6

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摘要

•Server layout optimization using MOGA is a promising way to improve data centre cooling.•Flow rate and DIMM spacing are more dominant design parameters than the DIMM angles.•After optimization, the reduction in entropy generation rate can reach up to 15%.•After optimization, the outlet air temperature uniformity can improve by up to 42%.

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关键词

Data centre,Thermal management,Server cooling,Multi-objective genetic algorithm optimization,Entropy generation minimization,Waste heat recovery

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