{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:59:50Z","timestamp":1760597990336,"version":"build-2065373602"},"reference-count":21,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2020,10,4]],"date-time":"2020-10-04T00:00:00Z","timestamp":1601769600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Climate"],"abstract":"<jats:p>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 efficiency of energy consumption. The most used metric is the Power Usage Effectiveness (PUE) index, but it does not fully reflect efficiency. Three DC\u2019s located at the cities of Curitiba, Londrina and Igua\u00e7u Falls (Brazil) with close PUE values, are evaluated in this article using the Energy Usage Effectiveness 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 Igua\u00e7u Falls, respectively. The difference between the EUED and the PUE Constant External Air Temperature (COA) is 16.87% for Curitiba, 13.33% for Londrina and 13.30% for Igua\u00e7u Falls. The new Perfect Design Data center (PDD) index prioritizes efficiency 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.<\/jats:p>","DOI":"10.3390\/cli8100110","type":"journal-article","created":{"date-parts":[[2020,10,5]],"date-time":"2020-10-05T08:35:57Z","timestamp":1601886957000},"page":"110","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["New Data Center Performance Index: Perfect Design Data Center\u2014PDD"],"prefix":"10.3390","volume":"8","author":[{"given":"Alexandre F.","family":"Santos","sequence":"first","affiliation":[{"name":"Department of Electromechanical Engineering, University of Beira Interior, Rua Marqu\u00eas d\u2019\u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal"},{"name":"FAPRO\u2014Faculdade Profissional, Curitiba 80230-040, Brazil"},{"name":"C-MAST\u2014Centre for Mechanical and Aerospace Science and Technologies, 6201-001 Covilh\u00e3, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1691-1709","authenticated-orcid":false,"given":"Pedro D.","family":"Gaspar","sequence":"additional","affiliation":[{"name":"Department of Electromechanical Engineering, University of Beira Interior, Rua Marqu\u00eas d\u2019\u00c1vila e Bolama, 6201-001 Covilh\u00e3, Portugal"},{"name":"C-MAST\u2014Centre for Mechanical and Aerospace Science and Technologies, 6201-001 Covilh\u00e3, Portugal"}]},{"given":"Heraldo J. L. de","family":"Souza","sequence":"additional","affiliation":[{"name":"FAPRO\u2014Faculdade Profissional, Curitiba 80230-040, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2020,10,4]]},"reference":[{"unstructured":"Furukawa Brasil (2020, April 14). O Que Est\u00e1 Gerando o Crescimento dos Datacenters. Available online: https:\/\/furukawabrasil.secure.force.com\/pt-br\/conexao-furukawa-detalhes\/o-que-esta-gerando-o-crescimento-dos-data-centers.","key":"ref_1"},{"unstructured":"Srgresearch (2020, September 17). Hyperscale Data Center Count Jumps to 541 in Mid-2020, another 176 in the Pipeline. Synergy Research Group, Reno, USA. Available online: https:\/\/www.srgresearch.com\/articles\/hyperscale-data-center-count-jumps-541-mark-us-still-accounts-40.","key":"ref_2"},{"unstructured":"3M (2015). Two-Phase Immersion Cooling: A Revolution in Data Center Efficiency, 3M.","key":"ref_3"},{"unstructured":"Avelar, V., Azevedo, D., and French, A. (2020, April 14). PUE\u2122: A Comprehensive Examination of The Metric, Available online: https:\/\/datacenters.lbl.gov\/sites\/all\/files\/WP49-PUE%20A%20Comprehensive%20Examination%20of%20the%20Metric_v6.pdf.","key":"ref_4"},{"unstructured":"Rasmussen, N. (2012). Implementing Energy Efficient Data Centers. White Paper Schneider Electric\u2019s Data Center Science Center, Schneider-Electric.","key":"ref_5"},{"unstructured":"Masanet, E.R., Shehabi, A., Smith, S.J., and Lei, N. (2018). Global Data Center Energy Use: Distribution, Composition, and Near-Term Outlook, Northwestern University.","key":"ref_6"},{"unstructured":"Cisco (2020, April 14). Cisco Global Cloud Index: Forecast and Methodology, 2016\u20132021. 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Proceedings of the IEEE ICC 2015\u2014Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA), London, UK.","key":"ref_21","DOI":"10.1109\/ICCW.2015.7247442"}],"container-title":["Climate"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2225-1154\/8\/10\/110\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:16:32Z","timestamp":1760177792000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2225-1154\/8\/10\/110"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,4]]},"references-count":21,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2020,10]]}},"alternative-id":["cli8100110"],"URL":"https:\/\/doi.org\/10.3390\/cli8100110","relation":{},"ISSN":["2225-1154"],"issn-type":[{"type":"electronic","value":"2225-1154"}],"subject":[],"published":{"date-parts":[[2020,10,4]]}}}