![]() Temperature distribution and performance parameters indices such as Supply/Return Heat Indices (SHI/RHI), Return Temperature Index (RTI), Index of Mixing (IOM), Energy Utilization Coefficient (ηr), and Beta Index (β) are used to conduct this comparative study. The current study numerically investigates the performance of in-row cooling architecture compared with the traditional cooling architecture of data centers of different power densities. A more recent effective cooling architecture of data centers, called in-row cooling where the cooling units are inserted between racks, is commercially suggested to reduce cooling power consumption. Traditional cooling systems, called perimeter cooling, consume huge amounts of electricity. So, selecting the proper cooling architecture is an important step during the design of data centers. Heat propagation and servers’ temperature increase inside data centers racks is a vital issue.
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