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⚡ BS ISO/IEC 30134 is the British Standard series adopted by BSI from the ISO/IEC 30134 international standard, defining data centre key performance indicators (KPIs). Developed by ISO/IEC JTC 1 Subcommittee SC 39 (Sustainability for IT), with UK participation through Technical Committee IST/46 (Sustainability for, and by IT), data centres are major energy consumers in the digital economy, and their energy efficiency and sustainability have become a focus for industry and regulators. ISO/IEC 30134 defines a unified, comparable set of data centre KPIs, helping operators measure energy efficiency, resource utilization, and renewable energy use, and serving as the foundation for green data centre construction and assessment.
This batch covers three parts of the BS ISO/IEC 30134 series: Part 1: Overview and general requirements (2016 edition), Part 2: Power usage effectiveness (PUE) (2016 edition), and Part 3: Renewable energy factor (REF) (2016 edition). All three are first editions published in 2016 and adopted by the UK in April 2016. Part 1 is the foundation of the whole KPI system, while Parts 2 and 3 define the two core indicators PUE and REF respectively.
The ISO/IEC 30134 series also covers additional KPIs (such as carbon usage effectiveness CUE, water usage effectiveness WUE, and energy efficiency ratio EER); the three parts in this batch form the starting point of the KPI system.
| Standard Number | Subject | Edition | Core Content |
|---|---|---|---|
| BS ISO/IEC 30134-1:2016 | Overview and general requirements | 1st ed., 2016-03-15 | Defines the KPI framework, terminology, and general requirements |
| BS ISO/IEC 30134-2:2016 | Power usage effectiveness (PUE) | 1st ed., 2016-04-15 | Defines the PUE indicator, boundary, measurement, and calculation |
| BS ISO/IEC 30134-3:2016 | Renewable energy factor (REF) | 1st ed., 2016-03-15 | Defines the REF indicator, calculation method, and reporting requirements |
Part 1 establishes the overall framework of the data centre KPI system, defining terminology, abbreviations, and symbols, and setting out general requirements shared by all KPIs. Content includes: the purpose and usage principles of KPIs, methods for determining indicator boundaries, data collection and verification requirements, reporting and disclosure rules, and the structural conventions for KPIs in subsequent parts. Part 1 acts as the “general outline” of the KPI system, providing a consistent semantic basis for implementing specific indicators such as PUE and REF.
The general requirements also clarify principles for measurement period, measurement uncertainty, data processing, and error control, ensuring repeatability and comparability of indicators across data centres.
Part 2 defines one of the most important energy efficiency indicators for data centres — Power Usage Effectiveness (PUE). PUE is defined as the ratio of total data centre energy consumption to IT equipment energy consumption:
The specification details the PUE boundary (including the scope division of IT equipment, cooling, power distribution, and lighting), measurement points and methods, data collection period, and calculation method, enabling PUE of different data centres to be calculated and compared on a common basis. It is the most commonly cited indicator in industry reporting and green procurement.
Part 3 defines the Renewable Energy Factor (REF), used to measure the extent to which a data centre uses renewable energy. REF represents the proportion of a data centre’s electricity consumption sourced from renewable energy, and its calculation considers: the type of renewable electricity source (such as solar PV, wind, hydro), electricity procurement contracts and certificates (such as green certificates and power purchase agreements PPA), self-generation, and the renewable share of grid electricity. The specification defines the REF calculation method, data sources, and reporting requirements, helping organizations assess and improve the green level of data centres.
REF and PUE together characterize data centre sustainability from the “efficiency” and “green” dimensions; combined use provides a comprehensive picture of environmental performance.