IEC TR 62725:2013 โ€” Analysis of Quantification Methodologies for Greenhouse Gas Emissions in Electrical and Electronic Products

💡 Key Insight: IEC TR 62725 establishes a harmonized framework for quantifying greenhouse gas (GHG) emissions specifically tailored to electrical and electronic products. It bridges the gap between generic LCA/CFP standards and the unique characteristics of electrotechnical products — long use-phase energy consumption, complex supply chains, and rapid technology evolution.

1. Scope and Purpose

IEC TR 62725:2013, a technical report from IEC TC 111 (Environmental standardization for electrical and electronic products and systems), provides a detailed analysis of existing quantification methodologies for GHG emissions applicable to electrical and electronic (EE) products. The report serves as a comparative study of relevant international standards (ISO 14040/14044 for LCA, ISO 14064/14067 for carbon footprint, PAS 2050, and others) and provides industry-specific guidance for their application to EE products.

The standard defines a quantification framework structured around six key principles: Life Cycle Thinking (LCT), Relevance, Completeness, Consistency, Accuracy, and Transparency. These principles ensure that GHG quantification studies are scientifically robust and practically applicable across the diverse range of EE products, from semiconductors to large power transformers.

Principle Description Application to EE Products
Life Cycle Thinking (LCT) Consider all life cycle stages from raw material extraction to end-of-life For electronics, 70-80% of GHG impact is often in the use phase; for semiconductors, manufacturing dominates
Relevance Select GHG sources, sinks, and reservoirs (SSRs) appropriate to the product Refrigerants in cooling equipment, SF6 in switchgear must be included
Completeness Include all significant GHG emissions within the system boundary Cut-off rules must not exclude >5% of total expected emissions
Consistency Use consistent assumptions and data sources throughout the study Same emission factors for electricity across all life cycle stages
Accuracy Reduce bias and uncertainty as far as practical Use primary data for manufacturing; secondary data from verified databases for upstream
Transparency Document and disclose all data, assumptions, and methodologies Full documentation required for third-party verification

2. Quantification Framework — Core Methodology

The IEC TR 62725 quantification framework consists of eight sequential steps that guide the practitioner from goal definition through to communication of results:

  1. Goal and scope definition — including intended use, target audience, and product category
  2. Unit of analysis — functional unit for the product system being studied
  3. System boundary — determining which life cycle stages and processes are included
  4. Specific GHG sources and sinks — identification of relevant emission sources
  5. Cut-off criteria — materiality thresholds for excluding insignificant contributions
  6. Data collection and quality assessment — primary vs. secondary data requirements
  7. Calculating GHG emissions — allocation methods, emission factors, and uncertainty treatment
  8. Use and maintenance scenario — modelling of use-phase energy consumption
Engineering Insight: For electrical and electronic products, the use-phase energy consumption is typically the dominant contributor to life cycle GHG emissions. The standard provides detailed guidance on developing realistic use scenarios, including standby power consumption, load profiles, and product lifetime assumptions. Engineers should pay particular attention to the use scenario assumptions — a difference of 1 W in standby power over a 10-year product life can equate to 50–80 kg CO₂ equivalent depending on the regional electricity grid mix.

3. Attributional vs. Consequential Approaches

A key technical contribution of IEC TR 62725 is its discussion of the two LCA modelling approaches — attributional and consequential — and their applicability to EE products. The attributional approach allocates a share of total global emissions to a product based on its physical flows, while the consequential approach models how the product’s production and use affect total global emissions through market mechanisms.

The standard recommends the attributional approach for product carbon footprint (CFP) studies intended for business-to-business (B2B) communication and product comparisons. The consequential approach is better suited for policy analysis and strategic decision-making, particularly when assessing the GHG reduction potential of replacing existing products with more energy-efficient alternatives.

⚠️ Important Methodological Note: The choice between attributional and consequential approaches can lead to significantly different results, especially for products with long use phases (transformers, motors, HVAC equipment) where electricity consumption dominates. Engineers commissioning GHG studies should clearly specify which approach is required and ensure consistency when comparing products across different studies.

4. Electrotechnical Industry Guidance on Communication and Verification

The standard dedicates significant attention to communication of GHG quantification results, recognizing that credibility depends on transparent reporting and independent verification. It recommends the use of CFP-PCR (Carbon Footprint of Products — Product Category Rules) to ensure comparability within specific product categories. The documentation requirements include process maps, data sources, allocation rules, and uncertainty analysis.

Verification can be conducted at three levels: self-verification, second-party verification (by a customer or industry association), or third-party verification (by an accredited certification body). The level of verification should be appropriate to the intended use of the CFP results — public comparative claims generally require third-party verification.

💡 Practical Recommendation: For companies with multiple EE product lines, investing in a CFP-PCR for their dominant product category provides the most efficient path to consistent and comparable GHG declarations. The PCR serves as a rulebook that eliminates methodological disputes and reduces verification costs across the product portfolio.

5. Frequently Asked Questions

Q1: How do I determine the system boundary for a complex electronic product like a variable speed drive?
The standard recommends a cradle-to-grave boundary as default, including raw material extraction, manufacturing, distribution, use, and end-of-life. For variable speed drives, the use phase (electricity consumption over 10-15 years) typically accounts for 85-95% of total life cycle GHG emissions, making accurate use-phase modelling essential.
Q2: What emission factors should be used for electricity consumption in the use phase?
The standard recommends using region-specific average grid emission factors (kg CO₂/kWh) that reflect the actual electricity mix where the product will be used. For global products, sales-weighted regional factors or worst-case scenarios should be considered. Ambitious scenarios using projected decarbonization trajectories can also be presented as supplementary information.
Q3: How are refrigerant emissions from HVAC&R equipment handled?
Direct GHG emissions from refrigerant leakage during use and disposal must be included in the CFP calculation. The standard recommends using leakage rates from relevant IEC performance standards or manufacturer data, with a default annual leakage rate of 2-5% for stationary equipment. The GWP values from the latest IPCC assessment report should be used.
Q4: What is the minimum data quality requirement for a CFP study under IEC TR 62725?
Primary data (actual measured or collected data) should be used for all processes under the direct control of the reporting company (typically manufacturing). Secondary data (from databases or literature) can be used for upstream and downstream processes, but must be less than 5 years old and representative of the relevant geography and technology. Data quality indicators (DQI) should be reported for all data sets.

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