Fast Carbon Footprinting for Large Product Portfolios

Christoph J. Meinrenken, Scott M. Kaufman, Siddharth Ramesh, Klaus Lackner

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Publicly Available Specification 2050-2011 (PAS 2050), the Green House Gas Product Protocol (GHGPP) standard and forthcoming guideline 14067 from the International Organization for Standardization (ISO) have helped to propel carbon footprinting from a subdiscipline of life cycle assessment (LCA) to the mainstream. However, application of carbon footprinting to large portfolios of many distinct products and services is immensely resource intensive. Even if achieved, it often fails to inform company-wide carbon reduction strategies because footprint data are disjointed or don't cover the whole portfolio. We introduce a novel approach to generate standard-compliant product carbon footprints (CFs) for companies with large portfolios at a fraction of previously required time and expertise. The approach was developed and validated on an LCA dataset covering 1,137 individual products from a global packaged consumer goods company. Three novel techniques work in concert in a single approach that enables practitioners to calculate thousands of footprints virtually simultaneously: (i) a uniform data structure enables footprinting all products and services by looping the same algorithm; (ii) concurrent uncertainty analysis guides practitioners to gradually improve the accuracy of only those data that materially impact the results; and (iii) a predictive model generates estimated emission factors (EFs) for materials, thereby eliminating the manual mapping of a product or service's inventory to EF databases. These autogenerated EFs enable non-LCA experts to calculate approximate CFs and alleviate resource constraints for companies embarking on large-scale product carbon footprinting. We discuss implementation roadmaps for companies, including further road-testing required to evaluate the effectiveness of the approach for other product portfolios, limitations, and future improvements of the fast footprinting methodology.

Original languageEnglish (US)
Pages (from-to)669-679
Number of pages11
JournalJournal of Industrial Ecology
Volume16
Issue number5
DOIs
StatePublished - Oct 2012
Externally publishedYes

Fingerprint

carbon
life cycle assessment
carbon footprint
footprint
life cycle
work technique
international organization
product
Carbon
Product portfolio
predictive model
concert
uncertainty analysis
resource
standardization
resources
greenhouse gas
expertise
uncertainty
road

Keywords

  • Carbon management
  • Emission factor
  • Enterprise resource planning (ERP)
  • Industrial ecology
  • Life cycle assessment (LCA)
  • Standards

ASJC Scopus subject areas

  • Environmental Science(all)
  • Economics and Econometrics
  • Social Sciences(all)

Cite this

Fast Carbon Footprinting for Large Product Portfolios. / Meinrenken, Christoph J.; Kaufman, Scott M.; Ramesh, Siddharth; Lackner, Klaus.

In: Journal of Industrial Ecology, Vol. 16, No. 5, 10.2012, p. 669-679.

Research output: Contribution to journalArticle

Meinrenken, Christoph J. ; Kaufman, Scott M. ; Ramesh, Siddharth ; Lackner, Klaus. / Fast Carbon Footprinting for Large Product Portfolios. In: Journal of Industrial Ecology. 2012 ; Vol. 16, No. 5. pp. 669-679.
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