ISO/IEC JTC 1/SC 39/WG 1 - Resource Efficient Data Centres
Centres de traitement de données efficace en terme de ressources
General Information
This document specifies the cooling efficiency ratio (CER) as a key performance indicator (KPI) for quantifying the efficient use of energy to control the temperature of spaces within a data centre (DC). This document: a) defines the CER of a DC; b) describes the relationship of this KPI to a DC’s infrastructure, information technology equipment and information technology operations; c) defines the measurement, the calculation and the reporting of the parameter; and d) provides information on the correct interpretation of the CER. Annex A describes the correlation of the CER and other KPIs. Annex B provides examples of the usage of the CER. Annex C introduces the parameters that affect the CER. Annex D describes requirements and recommendations for derivatives of KPIs associated with the CER. This document is not applicable to cooling systems that are not powered by electricity (e.g. heat-driven absorption chillers).
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This document proposes elements for the expression of energy production, storage, reuse and consumption in reference to primary energy in data centres, taking into account both the elements needed for energy assessment and the concepts developed in the framework of the ISO 52000 series for energy performance of buildings (EPB). This document: — provides the main definitions and concepts from the ISO 52000 series needed to make a primary energy assessment for data centres; — provides approaches for discriminating true sources of energy used by a given data centre; — compares, where relevant, the terms used in both the ISO/IEC 30134 series and ISO 52000 series and provides explanations on the use of factors for converting final or delivered energy to primary energy which take a different approach in each series (and how to move from one to the other); — illustrates the impact of using the EPB approach on data-centre-energy-related key performance indicators (KPIs), both in general and by the provision of examples; — provides known sources of weighting or conversion factors to be used when there are no recognized or agreed local factors applicable to the studied data centre energy performance assessment.
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This document specifies carbon usage effectiveness (CUE) as a key performance indicator (KPI) for quantifying the CO2 emissions of a data centre during the use phase of the data centre life cycle. CUE is a simple method for reporting the CO2 intensity of the data centre operating. By reporting CO2 emissions, it is possible to present the data centre's contribution to climate change (enhanced greenhouse effect). This document: a) defines the CUE of a data centre; b) introduces CUE measurement categories; c) describes the relationship of this KPI to a data centre’s infrastructure, information technology equipment and information technology operations; d) defines the measurement, the calculation and the reporting of the parameter; and e) provides information on the correct interpretation of the CUE.
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This document specifies water usage effectiveness (WUE) as a key performance indicator (KPI) for quantifying the water consumption of a data centre during the use phase of the data centre life cycle. WUE is a simple method for reporting the water intensity of the data centre operating. By reporting water consumption, it is possible to present the data centre's resource effectiveness. This document: a) defines the WUE of a data centre; b) introduces WUE measurement categories; c) describes the relationship of this KPI to a data centre’s infrastructure, information technology equipment and information technology operations; d) defines the measurement, the calculation and the reporting of the parameter; and e) provides information on the correct interpretation of the WUE.
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This document specifies the energy reuse factor (ERF) as a KPI to quantify the reuse of the energy consumed in a data centre. ERF is defined as the ratio of energy being reused divided by the sum of all energy consumed in a data centre. The ERF does reflect the efficiency of the reuse process; the reuse process is not part of a data centre.
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This document specifies application platform energy effectiveness (APEE) as a Key Performance Indicator (KPI) which quantifies the energy effectiveness of an application platform for an IT service in data centres. This KPI evaluates the energy consumption of an application platform prior to deployment. The purpose of this KPI is to measure the energy effectiveness of a set of target IT equipment, operating systems and middleware, to enable the selection of an energy effective IT stack. This document specifies a formula for calculating APEE and definitions of components of the formula. This document specifies a measurement method for assessing and reporting the energy effectiveness of an application platform. This document also specifies requirements for benchmarks to be used for APEE and requirements for reporting. The following topics are outside of the scope of this document: 1) KPIs intended to solely evaluate the energy effectiveness of target IT equipment hardware, 2) energy effectiveness of data centre facilities.
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This document specifies a measurement method to assess and report the energy effectiveness of a computer server. This document does not set any pass/fail criteria for servers.
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This document describes the treatment of data centre metrics in circumstances where electrical energy is stored and exported from within the data centre boundaries of other standards in the ISO/IEC 30134 series. This document specifies the Excess Electrical Energy Factor (XEEF) as a Key Performance Indicator (KPI) to quantify the electrical energy provided back from data centre to the utility. This document has the structure common to the standards of the ISO/IEC 30134 series.
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