Climatiq
source

Precoplat

5 Factors5 Factor
1 Region1 Region
3 Activities3 Activity

About Precoplat

Precoplat Präzisions-Leiterplatten-Technik GmbH is a German printed circuit board (PCB) manufacturer that publishes a Product Carbon Footprint (PCF) factsheet for an average multilayer ENIG PCB. The underlying data come from the study "Carbon footprint analysis of printed circuit board" (Yung et al.) in Environmental Carbon Footprints: Industrial Case Studies (Elsevier, 2018).

Visit Precoplat website
DATASET

Product Carbon Footprint v2.1

PropertyValue
Description
Precoplat Präzisions-Leiterplatten-Technik GmbH is a German printed circuit board (PCB) manufacturer that publishes a Product Carbon Footprint (PCF) factsheet for an average multilayer ENIG PCB. The underlying data come from the study "Carbon footprint analysis of printed circuit board" (Yung et al.) in Environmental Carbon Footprints: Industrial Case Studies (Elsevier, 2018).
Source type
Corporate
Original dataset URLURL
Year released
2025
Geography
Global
Sector
Type of data
Activity-based
Emission results
CO2e
Data Transformation
NA

License

PropertyValue
Type of license
Publicly available
License URL
Not specified

Data quality

PropertyValue
Data quality assurance

Vetted by Climatiq. For further information on data quality assurance, see: https://www.climatiq.io/methodology#Data-Quality

Quality flag(s)
Methodology
The source does not clarify the IPCC AR version of GWPs used to calculate CO2e.
This emission factor is self-reported by Precoplat.

Methodology

PropertyValue
Standard
ISO/TS 14067:2013
IPCC AR method
  • The source does not specify the IPCC AR version of GWPs used to calculate CO2e.
LCA boundary
  • cradle_to_gate
  • manufacturing
  • raw_material_supply
Scope applicability
  • 3.1
  • 3.2
Emissions breakdown
  • Total (CO2e)
Methodology description

Precoplat's Product Carbon Footprint (PCF) factsheet (version 2.1) reports the cradle-to-gate carbon footprint of an average multilayer ENIG (Electroless Nickel Immersion Gold) printed circuit board, expressed per m² of board. The PCF was calculated in accordance with ISO/TS 14067:2013.

The system boundary covers:

Raw material supply (raw_material_supply): laminate (FR4), galvanisation and other raw materials, plus packaging and transport of raw materials and product packaging Manufacturing (manufacturing): energy, production processes, water, consumables and waste Total cradle-to-gate (cradle_to_gate): the sum of the above stages

Transport to the end customer is excluded.

In addition to the stage-level values, the FR4 laminate and galvanisation inputs are provided as separate emission factors, as components of the raw material supply stage.

According to Precoplat, the underlying data are sourced from the 2018 study "Environmental Carbon Footprints: Industrial Case Studies" (ISBN: 978-0-12-812849-7).

Limitation / key issues to note

The data is self-reported by Precoplat and represents an average multilayer ENIG PCB, not a specific board design (layer count, thickness or size). The underlying data dates from a 2018 study, so it may not reflect current production processes or energy mixes.

Explore the Precoplat dataset

Featured Emission Factors in Precoplat

Explore All

Other Sources

Explore All
  • Go to Carbon Minds

    Carbon Minds

    Carbon Minds is a sustainability data and consulting organisation providing one of the largest life cycle assessment and product carbon footprint databases for chemicals and plastics.

  • Go to EEA

    EEA

    The European Environment Agency (EEA) is an EU agency that provides independent scientific and technical information to support environmental policies and sustainable development in Europe through data analysis, assessment, and reporting.

  • Go to Agribalyse

    Agribalyse

    Agribalyse is a comprehensive database developed by ADEME (Agence de la transition écologique), offering detailed environmental impact assessments of food products. This resource provides extensive data on the life cycle of food items, including production, processing, and distribution stages, to support informed choices towards sustainable consumption.

Interested in licensing this data?