New Data Center Performance Index: Perfect Design Data Center - PDD

Detalhes bibliográficos
Autor(a) principal: Santos, Alexandre Fernandes
Data de Publicação: 2020
Outros Autores: Gaspar, Pedro Dinis, Souza, Heraldo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/12143
Resumo: 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 DC’s located at the cities of Curitiba, Londrina and Iguaçu 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 Iguaçu 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 Iguaçu 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.
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spelling New Data Center Performance Index: Perfect Design Data Center - PDDData CenterPDDPUECoolingEUEDPerformance indexData 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 DC’s located at the cities of Curitiba, Londrina and Iguaçu 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 Iguaçu 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 Iguaçu 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.uBibliorumSantos, Alexandre FernandesGaspar, Pedro DinisSouza, Heraldo2022-04-01T10:35:23Z2020-10-042020-10-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/12143eng10.3390/cli8100110info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-15T09:55:03Zoai:ubibliorum.ubi.pt:10400.6/12143Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:51:48.845636Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv New Data Center Performance Index: Perfect Design Data Center - PDD
title New Data Center Performance Index: Perfect Design Data Center - PDD
spellingShingle New Data Center Performance Index: Perfect Design Data Center - PDD
Santos, Alexandre Fernandes
Data Center
PDD
PUE
Cooling
EUED
Performance index
title_short New Data Center Performance Index: Perfect Design Data Center - PDD
title_full New Data Center Performance Index: Perfect Design Data Center - PDD
title_fullStr New Data Center Performance Index: Perfect Design Data Center - PDD
title_full_unstemmed New Data Center Performance Index: Perfect Design Data Center - PDD
title_sort New Data Center Performance Index: Perfect Design Data Center - PDD
author Santos, Alexandre Fernandes
author_facet Santos, Alexandre Fernandes
Gaspar, Pedro Dinis
Souza, Heraldo
author_role author
author2 Gaspar, Pedro Dinis
Souza, Heraldo
author2_role author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Santos, Alexandre Fernandes
Gaspar, Pedro Dinis
Souza, Heraldo
dc.subject.por.fl_str_mv Data Center
PDD
PUE
Cooling
EUED
Performance index
topic Data Center
PDD
PUE
Cooling
EUED
Performance index
description 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 DC’s located at the cities of Curitiba, Londrina and Iguaçu 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 Iguaçu 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 Iguaçu 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-04
2020-10-04T00:00:00Z
2022-04-01T10:35:23Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.6/12143
url http://hdl.handle.net/10400.6/12143
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.3390/cli8100110
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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