Calculation Standards
Calculations are compliant with the global GHG Protocol and utilize IPCC/DEFRA emission factors.
1. Calculation Framework
CarbonReport Pro follows the ISO 14064-1:2018 standard for organisational-level greenhouse gas inventory reporting and the GHG Protocol Corporate Accounting and Reporting Standard for Scope 1, 2, and 3 boundary definitions.
All calculations are performed server-side. Input data provided by the user is multiplied by the applicable published emission factor to derive CO₂e (carbon dioxide equivalent) emissions, expressed in kg CO₂e or tonnes CO₂e (tCO₂e).
2. Scope Definitions
Scope 1 — Direct Emissions
Emissions from sources owned or controlled by the reporting organisation, including: diesel combustion in generators and vehicles; natural gas combustion in boilers; LPG/propane combustion; and other on-site fuel combustion.
Scope 2 — Purchased Energy
Indirect emissions from the generation of purchased electricity consumed by the organisation. Calculated using the market-based method, applying the applicable national grid emission factor.
Scope 3 — Value Chain Emissions
Indirect emissions not covered in Scope 1 or 2, including: upstream raw material production (cotton, yarn); inbound and outbound transportation; water consumption and treatment; and solid waste disposal. Scope 3 is available on Premium and Ultra plans.
3. Emission Factors Applied
CarbonReport Pro applies the following published emission factor sources:
| Source | Application | Update Basis |
|---|---|---|
| DEFRA Conversion Factors (UK Govt.) | Diesel, natural gas, LPG, electricity (UK grid), refrigerants, vehicle transport | Annual release |
| IPCC AR6 GWP Values | Global Warming Potential multipliers (CO₂, CH₂, N₂O) — 100-year timeframe | 6th Assessment Report |
| National Grid Emission Factors | Country-specific electricity emission factors (NEPRA, IEA, etc.) | Latest available |
| IPCC Tier 1 Stationary Combustion | Default combustion emission factors for fuel types not covered by DEFRA | 2006 Guidelines (rev.) |
| Higg Materials Sustainability Index (MSI) v3.5 | Fibre and material emission factors for PCF raw material stage (cotton, polyester, nylon, etc.) | Sustainable Apparel Coalition 2023 |
| Ecoinvent v3.10 | Chemical inputs, packaging, waste treatment, and process emission factors for PCF and Scope 3 calculations | Swiss Centre for Life Cycle Inventories 2023 |
| IEA World Energy Outlook 2023 | Country-level grid emission factors for non-NEPRA markets (Bangladesh, India, Vietnam, Turkey, etc.) | IEA 2023 |
4. Emission Intensity Calculation
Emission intensity is expressed as kgCO₂e per kg of finished product and is calculated as:
This metric is the primary benchmark used by EU and UK buyers to compare supplier emissions performance. CarbonReport Pro benchmarks your intensity against published global textile industry averages and best-practice thresholds.
5. CBAM Exposure Estimate
The EU Carbon Border Adjustment Mechanism (CBAM) exposure estimate is calculated by applying the current EU Emissions Trading System (ETS) carbon price (EUR/tCO₂e) to the total facility (Scope 1 + Scope 2)) emissions. This is an indicative estimate only. The textile sector is not yet within formal CBAM scope. The estimate reflects potential exposure if CBAM is extended to cover textiles, consistent with EU policy trajectory discussions.
6. Verification Levels
CarbonReport Pro uses a 4-level verification system. These levels reflect the data-quality and review status within the Platform:
Level 1 — Self-Reported
The report has been generated from submitted data. No supporting documentation has been uploaded or validated. Data reflects the account holder's self-reported inputs.
Level 2 — Evidence Submitted
Supporting documentation (utility bills, meter readings, production records) has been uploaded. First-party OCR cross-validation is in progress. Documents have been attached but data matching may still be pending.
Level 3 — First-Party Validated
CarbonReport Pro's automated OCR system has extracted values from uploaded documents and matched them against submitted data within a ±10% tolerance threshold. This constitutes automated first-party data cross-validation. It is not equivalent to independent third-party assurance under ISO 14064-3:2019.
Level 4 — Auditor Reviewed
A CarbonReport Pro authorised reviewer has manually reviewed the submitted data, evidence documents, and calculation outputs, and confirmed consistency with the supporting documentation. This is the highest internal trust level. Recommended as a precursor to formal ISO 14064-3:2019 third-party assurance.
ISO 14064-3 Disclaimer & Data Boundary Notice
Reports generated by CarbonReport Pro are based on data provided by the account holder and calculated using published emission factors (IPCC AR6, DEFRA 2024, NEPRA). CarbonReport Pro does not independently verify the accuracy of input data. These reports are preparatory GHG inventories intended for internal carbon management, buyer disclosure, and pre-assurance preparation.
CarbonReport Pro verification levels (L1–L4) reflect first-party automated data-quality checks and internal review within the Platform. The terms "First-Party Validated" and "Auditor Reviewed" do not constitute independent third-party verification or assurance under ISO 14064-3:2019 or equivalent formal assurance standards. For regulatory submission, public investor disclosure, or formal third-party certification, organisations should engage an accredited verification body in accordance with ISO 14064-3:2019.
Scope 3 Data Boundary: Scope 3 categories reported reflect those for which primary or high-quality secondary activity data was available. Tier 2–4 supply chain emissions (fibre processing, dyeing/finishing chemical production, end-of-life) may not be captured and represent a disclosed data gap consistent with current industry practice. Secondary LCA databases recommended for future cycle integration: Higg Materials Sustainability Index (MSI) v3.5 (fibre emission factors), Ecoinvent v3.10 (chemical inputs and waste treatment), and Textile Exchange Fiber & Material Benchmark (spinning and weaving process benchmarks).
7. Product Carbon Footprint (PCF) Methodology
Product Carbon Footprint calculations in CarbonReport Pro follow ISO 14067:2018 (Quantification and Reporting of the Carbon Footprint of Products) and the GHG Protocol Product Life Cycle Accounting and Reporting Standard.
System Boundary
The default system boundary is cradle-to-gate, covering raw material extraction through to finished goods dispatch. End-of-life emissions are included as an optional upstream estimator, consistent with cradle-to-grave scope where data is available.
Allocation Method
Where co-products are produced, mass-based allocation is applied as the default, consistent with ISO 14067:2018 Clause 6.4.2. Economic allocation may be used as an alternative where mass-based allocation is not representative.
Lifecycle Stage Emission Factors
- Raw Material: Higg MSI v3.5 emission factors for fibre types (cotton, polyester, viscose, nylon). Secondary data from Ecoinvent v3.10 for chemical inputs (dyes, auxiliaries).
- Manufacturing: Derived from facility-level Scope 1 + Scope 2 emissions divided by production volume (kgCO₂e/kg), updated with each GHG report generation.
- Packaging: DEFRA 2024 factors for card, plastic, and paper packaging materials.
- Transport: DEFRA 2024 freight transport factors (road, sea, air — tonne-km basis).
- Use Phase: Where applicable (apparel laundering); default = Ecoinvent wash cycle factor per kg garment.
- End-of-Life: Ecoinvent v3.10 landfill and incineration factors for textile waste fraction.
The output is expressed in kgCO₂e per kg of finished product. The result is printed as a 1-page PCF Spec Sheet addendum (Page 16) in Premium and Ultra plan reports.
8. Marginal Abatement Cost Curve (MACC) Methodology
The MACC chart (Page 15, Premium and Ultra) ranks emission reduction measures by their cost per tonne of CO₂e abated ($/tCO₂e) — from lowest cost to highest. This is the standard format used in climate finance literature and management sustainability reporting.
Abatement potential (tCO₂e) for each measure is estimated from the facility's actual Scope 1 and Scope 2 emission data using published abatement efficiency factors. Indicative capital and operating cost estimates are based on published industry benchmarks for South and Southeast Asian textile manufacturing contexts, adjusted by facility size. The measures modelled are:
- Fuel Switching (diesel/coal → natural gas or biomass): Scope 1 reduction based on IPCC Tier 1 combustion factors; cost estimate based on incremental fuel cost differential.
- LED + Variable-Frequency Drive (VFD) Motor Upgrades: Scope 2 reduction based on measured electricity saving benchmarks from IEA Energy Efficiency 2023; capital cost based on Rs./USD per kW benchmarks.
- Solar PV Rooftop Installation: Scope 2 reduction based on NEPRA/IEA grid displacement factor; capital cost based on $/Wp installed benchmarks for Pakistan/Bangladesh markets.
MACC outputs are indicative and do not constitute financial advice. Actual costs and abatement will vary based on site conditions, utility tariffs, and technology vendor pricing.
9. SBTi 1.5°C Trajectory Methodology
The SBTi Waterfall chart (Page 17, Premium and Ultra) illustrates an emission reduction pathway aligned with the Science Based Targets initiative (SBTi) Absolute Contraction Approach for the 1.5°C global warming scenario.
Under this approach, organisations must reduce total absolute Scope 1 and 2 emissions by 4.2% per year from the baseline year. This rate is derived from the IPCC Special Report on Global Warming of 1.5°C (SR1.5) and the SBTi Corporate Net-Zero Standard (v1.2).
The 2030 target shown in the report is calculated using the facility's current reporting year total emissions (Scope 1 + Scope 2, or Scope 1 + Scope 2 + Scope 3 if applicable) as the baseline. This trajectory is provided for information and planning purposes; it does not constitute a formal SBTi commitment. Formal SBTi target submission and validation must be done through the SBTi portal at sciencebasedtargets.org.
10. ISO 14064-1 Data Quality Matrix Methodology
The Data Quality Matrix (Page 18, Premium and Ultra) assesses the quality of activity data and emission factors for each emission source, aligned to ISO 14064-1:2018 Annex B data quality criteria. Each source is scored 1–5 across four dimensions:
- Temporal Representativeness (T): How current is the activity data? Score 5 = data from the reporting period; Score 1 = data older than 5 years or estimated from a different period.
- Geographical Representativeness (G): How location-specific is the emission factor? Score 5 = facility-specific or national-level factor; Score 1 = global average default.
- Technological Representativeness (Te): How specific to the reporting organisation's processes and technologies is the emission factor? Score 5 = process-specific measured factor; Score 1 = generic industry default.
- Completeness (C): What percentage of the emission source category is captured? Score 5 = 100% metered; Score 1 = estimated from proxy data with >30% gap.
The aggregate Data Quality Score (DQS) is the arithmetic mean of all source scores, weighted by each source's proportional contribution to total emissions. A DQS of 4.0 or above is classified as "High Quality" within the Platform. This is not an official ISO 14064-3 data quality rating; it is an internal management indicator intended to guide reporting improvements and communicate data confidence to buyers and verifiers.
11. Questions
For methodology questions or to report a discrepancy in a generated report, contact info@carbonreportpro.com.