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Advisor(s)
Abstract(s)
Data Centers (DC) are specific buildings that require large infrastructures to store all the
information needed by companies. All data transmitted over the network is stored on CDs. By the end
of 2020, Data Centers will grow 53% worldwide. There are methodologies that measure the e ciency
of energy consumption. The most used metric is the Power Usage E ectiveness (PUE) index, but it
does not fully reflect e ciency. Three DCās located at the cities of Curitiba, Londrina and IguaƧu Falls
(Brazil) with close PUE values, are evaluated in this article using the Energy Usage E ectiveness Design
(EUED) index as an alternative to the current method. EUED uses energy as a comparative element in
the design phase. Infrastructure consumption is the sum of energy with Heating, Ventilating and
Air conditioning (HVAC) equipment, equipment, lighting and others. The EUED values obtained
were 1.245 (kWh/yr)/(kWh/yr), 1.313 (kWh/yr)/(kWh/yr) and 1.316 (kWh/yr)/(kWh/yr) to Curitiba,
Londrina and IguaƧu Falls, respectively. The di erence between the EUED and the PUE Constant
External Air Temperature (COA) is 16.87% for Curitiba, 13.33% for Londrina and 13.30% for IguaƧu
Falls. The new Perfect Design Data center (PDD) index prioritizes e ciency in increasing order is an
easy index to interpret. It is a redefinition of EUED, given by a linear equation, which provides an
approximate result and uses a classification table. It is a decision support index for the location of a
Data Center in the project phase.
Description
Keywords
Data Center PDD PUE Cooling EUED Performance index