ISO/IEC 30134 00 Factsheet

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ISO/IEC 30134 : Information technology – Data centres – Key Performance indicators
Name of Initiative/Methodology

ISO/IEC 30134 series: information technology – Data centres – Key Performance indicators.

  • ISO/IEC 30134-1: Part 1 - Overview and general requirements
  • ISO/IEC 30134-2: Part 2 - Power usage effectiveness (PUE)
  • ISO/IEC 30134-3: Part 3 - Renewable energy factor (RES)
  • ISO/IEC 30134-4: Part 4 - IT equipment energy efficiency for servers (ITEE)
  • ISO/IEC 30134-5: Part 5 - IT equipment utilization for servers (ITEU_SV)

Additional parts under preparation :

  • Part 6: Energy Reuse Factor (ERF)

Additional parts dedicated to other KPIs will be developed further

Link to the latest published version

ISO/IEC 30134-1 (2016); Part 1:

https://www.iso.org/standard/63450.html

ISO/IEC 30134-2 (2016); Part 2:

https://www.iso.org/standard/63451.html

ISO/IEC 30134-3 (2016); Part 3:

https://www.iso.org/standard/66127.html

ISO/IEC 30134-4 (2017); Part 4:

https://www.iso.org/standard/66191.html

ISO/IEC 30134-5 (2017); Part 5:

https://www.iso.org/standard/66934.html

Developed by

The International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) : ISO/IEC JTC 1/SC 39
History and Status
  • Parts 1-3: Developed and finished in 2016, actual enquiry for update versions
  • Parts 4&5: Developed and finished in 2017
  • Part 6: under preparation
Involved companies / parties
  • No companies or other parties involved
Scope

  Organisation env. accounting

 Scope 1  
 Scope 2  
 Scope 3

  Product env. assessment 

 Life cycle approach  

 Use phase only

 GWP

 Energy (focus on secondary energy)

 KPIs

  • Energy consumption
  • Renewable energy
  • Energy efficiency
  • Task efficiency
  • Energy reuse
System(s) covered by the methodology
  • Data centres and its boundaries, thus are including the following elements :
    • IT and network telecommunications/infrastructure

    • Power generation and distribution infrastructure

    • Environmental control/infrastructure

    • Security and safety infrastructure

  • Renewable energy generation plants owned and controlled by the data centre, whether the energy is generated on site or obtained (i.e. any energy for which the data centre owns the legal rights to the environmental attributes of renewable generation).

Goals
  • Enabling the optimum resource effectiveness of data centres through:
    • the minimization of energy and other resource consumption
    • the maximization of IT load’s task effectiveness within the data centre
    • the energy reuse in the form of waste heat
    • the use of renewable energy
  • Providing a suite of effective Key Performance Indicators (KPI) in relation to the objectives described above in order to define an improvement roadmap
Generic features
  • The term “resource usage effectiveness” is preferred to “resource usage efficiency”, which is restricted to situations where the input and output parameters used to define the KPIs have the same units.
  • In order to allow an individual facility to measure and monitor progress in each individual area, the KPIs are designed to be :
    • applicable to all types of data centres

    • technology neutral

    • geographically neutral

In the same way, in order to be based upon parameters that are measurable in an unambiguous manner, the following procedure shall be respected for the implementation of the KPIs:

  • The KPIs shall be assessed over a defined period of time
  • All parameters relevant to the assessment of the KPI shall be measured over a period not exceeding a specified time
  • The maximum time between measurements defines the time interval between which KPIs shall re-assessed
ICT-specific features

Part 2: Power Usage Effectiveness (PUE)

PUE illustrates the energy allocation of a data centre.

PUE provides means to determine :

  • Opportunities for the improvement of the operational efficiency of the data centre
  • The improvement of the designs and processes of a data centre over time
  • A design target or goal for new data centres across the anticipated IT load range

PUE = EDC/EIT ; where:

  • EIT is the IT equipment energy consumption (annual) in kWh and includes : IT equipment and supplemental equipment
  • EDC is the total data centre energy consumption (annual) in kWh and includes : EIT, power delivery, cooling system and others

Measurements of EDC and EIT shall be undertaken using either:

  • Watt meters with the capability to report energy usage, or
  • Kilowatt-hour (kWh) meters that report the actual energy usage through simultaneous measurement of the voltage, current and power factor over time

Derivatives of PUE may be useful in certain circumstances

PUE should not be used to compare different data centres

Thus, PUE does not take into account: energy efficiency of the IT load, its utilisation or productivity; efficiency of onsite electricity generation; efficiency of other resources such as human resources, space or water; use of renewable energy resources or accounts for reuse of waste by products.

Then 3 PUE’s categories are defined according to the energy consumption measurement process used for the PUE calculation:

  • PUE1 : based on uninterruptible power supply output, it provides a basic level of resolution of energy performance data
  • PUE2 : based on power distribution unit output, it provides an intermediate level of resolution of energy performance data
  • PUE3 : based on IT equipment input, it provides an advanced level of resolution of energy performance data

The use of PUE category is based on the following distribution:

  • PUE > 1.5: Category 1 to 3
  • 1.5 >= PUE > 1.2: Category 2 to 3
  • PUE =< 1.2: Category 3

The correct reporting of power usage effectiveness relies on multiple elements such as :

  • Use standard construct for communicating PUE data
  • Provide required information and supporting evidence for public reporting of PUE

Part 3: Renewable energy factor (REF)

REF metric describes the percentage of a renewable energy (RE) over total data centre energy. It provides an assessment of the mitigation of carbon emission that originated from energy consumption in a data centre.

REF is an effective KPI to monitor the use of RE and to increase the diversity of energy dependence and improve the sustainability of a data centre by enhancing the use of RE.

The use of this KPI allows data centre managers to improve a data centre’s energy procurement process and increase the diversity of energy dependence of a data centre. In addition, customers can also use this KPI as a guide to select a data centre.

REF = Eren/ EDC ; where:

  • EDC is the total data centre energy consumption (annual) in kWh
  • Eren is the RE in kWh owned and controlled by a data centre

REF shall have a maximum value of 1.00 indicating 100% of the total data centre energy is RE. Thus, in the case of on-site generation of RE beyond the need of the data centre, the excess power generated shall not be accounted for REF.

Measurements of EDC and EIT shall be undertaken using either:

  • Watt meters with the capability to report energy usage, or
  • Kilowatt-hour (kWh) meters that report the actual energy usage through simultaneous measurement of the voltage, current and power factor over tim
Examples of implementation / experience feedback

None identified

Interaction with other methodologies
  • [ISO/IEC 30134] has no interaction with other methodologies

 

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