The CEA Emission Factor Dilemma in Indian LCA: Why One Number Doesn’t Fit All

Electricity is one of the most influential contributors to environmental impacts in Indian Life Cycle Assessment (LCA) studies. While India-specific electricity datasets are available in leading LCA databases such as ecoinvent and GaBi, many practitioners continue to rely on CEA (Central Electricity Authority) emission factors as a default input.

Despite the availability of India-specific electricity datasets in commercial LCA databases, CEA emission factors continue to be used in Indian LCAs for several practical and systemic reasons:

• CEA values are officially published, and publicly accessible.

• Many stakeholders are more familiar with CEA factors than with database-based electricity inventories.

• There is limited regulatory or institutional guidance in India differentiating between GHG accounting factors and LCA-compatible datasets

• Manufacturers frequently request “CEA-based emissions”, assuming them to be universally applicable

This has led to the use of CEA factors beyond their original scope, particularly in product-level LCA modelling.

What CEA Emission Factors Are Designed For

CEA emission factors are primarily developed using methodologies aligned with CDM baseline tools, and are widely used for -

• National GHG inventories

• Corporate Scope 2 accounting

• Climate disclosures under UNFCCC and related frameworks

They represent average grid emissions (as generated not as delivered), largely focused on CO₂. Importantly, the CEA documentation itself clarifies that -

This indicates that CEA emission factors are derived essentially from power plant-level combustion data, and therefore represent operational emissions only, without systematically accounting for upstream fuel cycles, infrastructure, or life cycle-wide processes. However, LCA has a fundamentally different objective: to model the full environmental profile of a product or system across multiple impact categories and complete life cycle stages, from raw material extraction through production, use, and end-of-life

“The calculations are based on generation, fuel consumption and fuel quality data obtained from the power stations.”

Why CEA Factors are Not Fully Suitable for LCA

A. Limited System Boundary

• Upstream fuel extraction and processing

• Fuel transportation and handling

• Power plant construction and decommissioning

• Auxiliary materials and infrastructure

• Consistent treatment of transmission and distribution losses

In contrast, LCA requires cradle-to-gate or cradle-to-grave system boundaries, where all relevant upstream and supporting processes are included. Using CEA factors directly in LCA therefore leads to system boundary truncation, systematically underestimating the true environmental burden of electricity supply.

CEA reports an average grid emission factor of about 0.72 kg CO₂/kWh, which increases to roughly 0.85 kg CO₂/kWh when adjusted for AT&C losses. LCA databases, however, report higher life cycle-based values (around 1.1 kg CO₂/kWh in GaBi and 1.3 kg CO₂/kWh in ecoinvent), reflecting elements beyond CEA’s operational scope, notably upstream fuel supply chains, power plant and grid infrastructure, non-CO₂ greenhouse gases, and broader system boundaries captured in life cycle modelling.

CEA emission factors primarily capture operational emissions from power generation, based on fuel combustion at the plant level. They do not systematically account for:

B. Climate only focus

CEA values are essentially limited to climate change impact, expressed in terms of CO₂ or CO₂e. However, LCA aims to assess multiple environmental impact categories, including:

• Acidification

• Eutrophication

• Particulate matter formation

• Resource depletion

• Water use and scarcity

Reducing electricity modelling to a single climate metric distorts overall environmental results, especially in comparative product assessments.

C. Averaging and Representativeness Issues

CEA factors are national annual averages, which do not reflect:

• Regional variations in grid composition

• Technology-specific generation profile

This limits their relevance for product-specific, site-specific, and energy-intensive LCAs, where electricity sourcing characteristics can significantly influence results. For EPDs published with EPD International – the PCR requires to use sub-national or regional grid mix instead of national grid mix.

D. Compatibility with EPDs and PCFs

Most international LCA frameworks and product environmental declaration rules require:

• Technology-specific electricity inventories

• Fully modelled life cycle chains

• Dataset consistency across the background system

Use of CEA factors in such contexts can result in:

• Non-alignment with ISO 14040/44, 14067, EN 15804, and PEF requirements

• Challenges/rejection during third-party verification

• Reduced credibility and acceptance of product environmental claims

Best Practices for Using CEA Factors in Indian LCAs

At Eco Assure Verification & Advisory, we recommend a balanced and technically defensible approach. Avoid using CEA as a standalone electricity dataset in product LCA or EPDs. Instead:

• Prefer LCA-compatible electricity datasets (e.g., India-specific datasets from recognized LCA databases)

• Or construct grid mixes using technology-level inventories (coal, gas, hydro, solar, wind, nuclear)

• Use CEA factors for:

  • Corporate Scope 2 GHG inventories

  • Sensitivity analysis and scenario analysis

• Always disclose assumptions and limitations when CEA values are referenced

Final Thoughts

CEA emission factors are indispensable for India’s climate reporting, but they are not a plug-and-play solution for product LCA and EPDs. As Indian sustainability practice matures and aligns more closely with international frameworks, electricity
modelling must evolve from convenience to methodological robustness. The LCA practitioners must adopt
transparent and technically defensible approaches.