GHG Protocol · ESRS E1 · Manufacturing

Scope 3 Emissions Estimator
for Manufacturing

Estimate Scope 3 emissions for manufacturing entities. Focus on the categories that dominate industrial value chains: purchased materials, upstream and downstream transport, waste, and product use-phase emissions.

GHG PROTOCOL · LIVEv2026.04ESRS E1 · IFRS S2

Scope 3 emissions, documented.
Not just estimated.

Session
0xD209
Sector
All
Categories
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scope3.conf
categories.csv
README.md
01// engagement— GHG Protocol Ch. 3
02entity_name=
03reporting_period=
04currency=
05sector=
08// scope_3_categories— GHG Protocol Table 5.1
09selected=none
★ = typically material for All sectors (median). Missed: cat. 1, 2, 4, 6, 7.
27// materiality_and_exclusions— GHG Ch.6 · ESRS 1.133
Relevance tests performed for each Scope 3 category (GHG Ch.6):
28
29
30
31
32
33
35exclusion.rationale=
Materiality + exclusions (GHG Ch.6 + ESRS 1.133)
38// data_quality_and_sources— GHG Ch.7 · data hierarchy
Data-quality hierarchy applied:
39
40
41
42
43
44
45data_sources.narrative=
Data quality + sources (GHG Ch.7)
48// intensity_metrics— GHG Ch.9 · ESRS E1-5
49revenue_millions_eur=MEUR
50num_employees=FTE
51prior_year_scope3=tCO2e
52scope1_total=tCO2e
53scope2_total=tCO2e
Intensity metrics (GHG Ch.9 / ESRS E1-5)
56// sector_benchmark— CDP 2023 median · tCO2e/M€
Enter revenue (above) to compare against the All sectors (median) sector median (120 tCO2e/M€).
Sector benchmark · CDP 2023 median
60// sensitivity— ±25% total emissions
Enter activity data to see sensitivity analysis.
Sensitivity · ±25% scenarios
65// risk_warnings— ISSA 5000 / ISAE 3410 · rule engine
Enter activity data to run risk analysis.
Risk warnings · rule engine (ISSA 5000)
70// disclosure_and_conclusion— IFRS S2.29 · ESRS E1-6
Tick disclosure items addressed in FS / sustainability report:
71IFRS S2.29(a)(iii) · ESRS E1-6
72ESRS E1-6(58)
73IFRS S2.29(a)(iv) · ESRS E1-6(62)
74ESRS E1-6(63)
75GHG Protocol Ch.6 · ESRS E1-6(57)
76ESRS E1.45
77ESRS E1-6(54)
78ESRS 1.89
79ESRS E1-4
80ESRS E1-1
81ESRS 1.81
82ESRS 1.133
84prepared_by=
85reviewed_by=
99conclusion.narrative=
Disclosure + conclusion · IFRS S2.29 + ESRS E1-6
awaiting input·0 categories · 2 fieldsEUR·ESRS E1 · IFRS S2
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Scope 3 emissions estimation for Manufacturing

Manufacturing entities typically carry the heaviest Scope 3 burden of any sector. Category 1 (purchased goods and services) alone often accounts for 40% to 60% of a manufacturer's total Scope 3 emissions because raw materials, components, and packaging all carry embodied carbon from extraction, processing, and transport before they reach the factory gate. Under ESRS E1-6, manufacturing entities subject to CSRD must disclose these upstream emissions, and the European Sustainability Reporting Standards do not allow entities to exclude material categories simply because supplier data is unavailable. The GHG Protocol Scope 3 Standard requires entities to report on all categories that are significant, and for manufacturers, significance extends across most of the value chain.

The technical challenge for manufacturers centres on four areas. First, Category 1 requires emission factors for raw materials that vary by supplier, geography, and production method. Steel from an electric arc furnace has a different carbon intensity than steel from a basic oxygen furnace. Using generic spend-based factors obscures these differences and produces unreliable estimates. Second, Categories 4 and 9 (upstream and downstream transport) require data on shipping modes, distances, and load factors that the entity may not control. A manufacturer shipping goods through a third-party logistics provider often lacks route-level data. Third, Category 11 (use of sold products) requires the manufacturer to estimate lifetime energy consumption or emissions from product use by customers. For energy-consuming products, this category can dwarf all others. A commercial HVAC manufacturer's Category 11 emissions typically exceed its combined Scope 1 and Scope 2 by a factor of ten or more. Fourth, Category 12 (end-of-life treatment) requires assumptions about waste disposal pathways in downstream markets.

Assurance providers reviewing manufacturing Scope 3 disclosures frequently flag four issues: incomplete Category 1 calculations that exclude indirect procurement (services, IT equipment, office supplies), failure to distinguish between supplier-specific and industry-average emission factors in the methodology documentation, use of outdated emission factor databases (anything older than two years introduces material error for fast-changing sectors like aluminium or chemicals), and inconsistent allocation methods where a single facility produces multiple product lines. ISAE 3410 requires the practitioner to assess whether the entity's quantification methods and reporting boundary are appropriate. Manufacturers that apply a single spend-based factor across all procurement categories will face questions about why they did not use product-specific factors from databases like ecoinvent or GaBi for their highest-spend material categories.

To apply this estimator for a manufacturing entity, begin by mapping your bill of materials for the top 20 purchased items by spend. Obtain supplier-specific emission data where available (CDP supply chain questionnaires are a good starting point). For remaining items, apply industry-average factors from ecoinvent, DEFRA, or the relevant national database. For transport categories, request data from logistics providers on mode split, average distance, and load factors. Where provider data is unavailable, use GHG Protocol default factors for the relevant transport mode and region. For Category 11, model the product's energy consumption over its expected useful life using engineering specifications, not marketing claims. Document every assumption, factor source, and allocation method. This documentation is what converts an estimate into an assurance-ready disclosure.

Frequently asked questions: Manufacturing

How should a manufacturer estimate Category 1 emissions without supplier-specific data?
Use a tiered approach. For your top suppliers by spend (typically 10 to 20 suppliers covering 60% to 80% of procurement spend), request primary data through CDP supply chain questionnaires or direct engagement. For remaining suppliers, apply product-specific emission factors from databases like ecoinvent (version 3.10 or later) matched to the material type. Use spend-based factors from DEFRA or EPA EEIO only as a last resort for low-materiality procurement categories.
Is Category 11 (use of sold products) always material for manufacturers?
It depends entirely on the product. For manufacturers of energy-consuming products (appliances, vehicles, HVAC systems, industrial equipment), Category 11 is almost always the largest single Scope 3 category. For manufacturers of passive products (textiles, furniture, packaging), Category 11 is typically immaterial. Screen by estimating the lifetime energy or fuel consumption of your product in normal use conditions, then apply the relevant grid or fuel emission factors.
What emission factor databases are most appropriate for European manufacturers?
European manufacturers should use ecoinvent for product lifecycle data, DEFRA emission factors for spend-based estimates (UK-oriented but widely used), ADEME Base Carbone for French supply chains, and ProBas/GEMIS for German supply chains. For sector-specific factors, Eurofer publishes steel industry averages, Plastics Europe publishes polymer-specific data, and the International Aluminium Institute publishes smelting and refining factors. Always record the database version and reference year.
How do we handle Category 4 when we use third-party logistics providers?
Request the Global Logistics Emissions Council (GLEC) Framework data from your logistics provider. GLEC-accredited carriers report emissions per tonne-km by mode. Where this is unavailable, estimate using GHG Protocol default transport emission factors for the relevant mode (road, rail, sea, air) combined with your shipping records showing weight and origin-destination pairs. Even approximate distance estimates paired with mode-specific factors produce better results than spend-based allocation of freight costs.
Should we include packaging in Category 1 or Category 12?
Both, for different lifecycle stages. The embodied carbon of packaging materials (production of cardboard, plastic film, pallets) sits in Category 1 as a purchased good. The emissions from disposing of that packaging after it reaches the customer sit in Category 12 (end-of-life treatment of sold products). Track packaging materials by weight and type, apply production emission factors for Category 1, then apply waste treatment emission factors for Category 12 based on the disposal mix in your target markets.

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