DATE
05.10.2026
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DATE
05.10.2026
AUTHOR
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The Product Carbon Footprint (PCF) is an environmental metric at the product level. It provides information on the greenhouse gas emissions—expressed in CO₂ equivalents—generated during a product’s manufacturing, transportation, use, and disposal. Unlike the Corporate Carbon Footprint (CCF), which considers an entire organization, the PCF focuses specifically on individual goods or services.
This provides a key tool: companies can identify hotspots within the value chain, compare product variants, and transparently demonstrate the climate impact of innovations. In markets where pressure to be sustainable is growing, this product perspective is a key competitive factor.
A PCF can be based on various system boundaries. The choice of boundary determines how comprehensive and meaningful the balance sheet is:
The choice depends on the specific application: For design decisions, a cradle-to-gate assessment is often sufficient, whereas a cradle-to-grave perspective is required for product labeling or regulatory disclosure.
Die vier Phasen des Produktlebenswegs und die drei Systemgrenzen, die in der Praxis gewählt werden. Welche Grenze gilt, entscheidet darüber, welche Emissionen in die Bilanz einfließen — und ob zwei PCF überhaupt vergleichbar sind.
Von der Rohstoffgewinnung bis zum Werkstor. Übliche Grenze für interne Optimierung und Lieferantengespräche.
Über den gesamten Lebensweg bis zur Entsorgung. Standard, sobald ein Produkt im Betrieb selbst Emissionen verursacht.
Wie Cradle-to-Grave, zusätzlich die Rückführung der Materialien in die Vorkette.
The calculation of a PCF generally follows the ISO 14040/44 (LCA) and ISO 14067 standards, as well as the GHG Protocol Product Standard. A systematic, multi-step approach is essential:
First, the objectives and scope are defined: Which functional unit is selected (e.g., “a bottle of water” or “a car over a ten-year period”)? What are the system boundaries, and what lifespan is assumed? This is followed by the modeling of the process chain, which typically covers three main areas:
Data collection involves a combination of primary data (obtained directly from suppliers or internal processes) and secondary data (e.g., ecoinvent, GaBi, DEFRA). It is important to document the quality and limitations of the data, as these significantly influence credibility. Finally, all emissions are converted to CO₂e using recognized factors, uncertainties are analyzed, and—ideally—validated through a critical review or external verification.
Der Nutzen eines PCF reicht weit über reine Kennzahlen hinaus. Er ist ein strategisches Werkzeug, das sowohl im Produktmanagement als auch in Einkauf, Marketing und Nachhaltigkeitsberichterstattung Wirkung entfaltet. Welche Systemgrenze dabei gewählt wird, entscheidet über Vergleichbarkeit und Aufwand zugleich — wir begleiten die Erstellung eines prüffesten Produkt-Fußabdrucks von der Systemgrenze bis zur Datenqualität.
Companies benefit from a PCF because it:
In practice, the PCF is used in a wide variety of contexts:
Here’s an example: A beverage manufacturer finds that 60% of a PET bottle’s carbon footprint is attributable to the packaging. By using recycled materials, the carbon footprint can be significantly reduced, allowing the product to be marketed as more environmentally friendly.
Creating a PCF is challenging because it relies on complex supply chains and data sources. Typical challenges include:
Nevertheless, the following remains true: A transparent PCF, even if incomplete, is more valuable than no database at all. The results should be viewed as dynamic and subject to further development as the data improves.
Each activity is multiplied individually by its emission factor. Formula: PCF = Σ (activity × emission factor)
| Category | Activity | × | Emission factor | = | Result |
|---|---|---|---|---|---|
| Raw materials | Steel – 4 kg | × | 1,92 kg CO₂e / kg worldsteel 2023 | = | 7,68 kg CO₂e |
| Raw materials | Plastic – 1 kg | × | 5 kg CO₂e / kg Beispielwert | = | 5,00 kg CO₂e |
| means of production | Oil for frying – 0.5 kg | × | 1 kg CO₂e / kg Beispielwert | = | 0,50 kg CO₂e |
| means of production | Grinding oil – 0.1 kg | × | 2 kg CO₂e / kg Beispielwert | = | 0,20 kg CO₂e |
| Energy | Electricity – 10 kWh | × | 0,34 kg CO₂e / kWh UBA 2025 | = | 3,40 kg CO₂e |
| Energy | Natural gas – 8 kWh | × | 0,20 kg CO₂e / kWh UBA 2024 | = | 1,60 kg CO₂e |
| Transport | LKW – 0,12 tkm | × | 0,12 kg CO₂e / tkm UBA 2024 | = | 0,01 kg CO₂e |
| Transport | Binnenschiff – 2,5 tkm | × | 0,032 kg CO₂e / tkm UBA 2024 | = | 0,08 kg CO₂e |
| Total | Σ PCF | = | 18,47 kg CO₂e | ||
Hinweis: Simplifizierte Darstellung. Transportfaktoren je Tonnenkilometer (tkm), die Aktivitätsdaten sind entsprechend umgerechnet. Belegte Faktoren: Strom 344 g CO₂/kWh (Umweltbundesamt, Strommix Deutschland 2025), Erdgas 201 kg CO₂/MWh heizwertbezogen und Güterverkehr Lkw 118 g sowie Binnenschiff 32 g CO₂e/tkm (Umweltbundesamt, TREMOD, 2024), Rohstahl 1,92 t CO₂ je Tonne (worldsteel, 2023). Die als Beispielwert gekennzeichneten Faktoren für Kunststoff und Produktionsmittel sind generische Größenordnungen ohne Quelle.
To ensure the successful creation of a PCF, the following practical steps are helpful:


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