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Data set: Whey 30%, at plant, BR-RS (00.00.032)

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Full name Whey 30%, at plant, BR-RS

Location BR-RS

Reference year 2023

Valid until 2023

Reference flow(s) Whey 30%, at plant, BR-RS - 1.0 * 1.0 kg (Mass)

Type Unit process, black box

Parameterized? no

LCIA results included? no

Category Sooro / Sooro / Sooro P2 - RS

Synonyms

Use advice for data set Fit for process improvement and B2B communication; not suitable for consumer labeling unless use and end-of-life are modeled. Recommend periodic updates and expanding primary data at dairies/farms.

Data set use approval

General comment Cradle-to-gate LCI for 1 kg of whey 30% at factory gate, bulk (no packaging), representative of southern Brazil (Rio Grande do Sul). The system includes milk production/collection, dairy industry at regional dairies, whey concentration (UF/MF/RO, evaporation); site utilities (electricity, steam/boiler, refrigeration), CIP, internal logistics, and wastewater treatment. Packaging, distribution, use and end-of-life are excluded. Allocation at the ingredient plant is mass-based. Modeled as a partially aggregated inventory (black-box gate-to-gate with linked upstream). Primary data: full-year 2023 site-specific operations (energy, steam, water, chemicals/CIP, refrigeration make-up, WWTP, on-site emissions, inbound whey logistics). Secondary data: background datasets (Brazilian grid/fuels/transport/chemicals and upstream milk/cheese/whey “market for” processes) consistent with OpenLCA 2.4.1 and ecoinvent 3.9. Source: ABNT NBR ISO 14040:2009; 14044:2009; 14067:2023. IDF Global Carbon Footprint Standard for the Dairy Sector (IDF Bulletin 520/2022). PCR Dairy Products, 2021:08 v1.0 (International EPD System). Weidema & Wesnaes (1996) — Data quality indicators (pedigree). IPCC, Chapter 6. (2019). Authors: Antonio Carlos de Francisco (email: acfrancisco@utfpr.edu.br); Cassiano Moro Piekarski (email: piekarski@utfpr.edu.br); Daniel Poletto Tesser (email: danieltesser@utfpr.edu.br); Fabio Neves Puglieri (email: puglieri@utfpr.edu.br - correspondent author); Julia Moraes Marinho Ribeiro (email: juliamoraesribeiro@alunos.utfpr.edu.br); Karen Godoi Van Mierlo (email: karen.mierlo@gmail.com); Murillo Vetroni Barros (email: murillo.vetroni@gmail.com); Thierry Ribeiro Tomich (email: thierry.tomich@embrapa.br); Vanessa Romário de Paula (email: vanessa.paula@embrapa.br).

LCI Method Principle Other

LCI Method Approaches Allocation - physical causality

Completeness of product model No statement

Reviews Dependent internal review by No records found.

License and access conditions Copyright no Access information License/intended use: free use for LCA studies that (i) the dataset is cited with project and academic ownership, (ii) company identities are not disclosed or re-identified, and (iii) no consumer-facing claims are made without adding use/EoL modeling and undergoing product-rule conformity. Data provided “as is”, without warranty; users are responsible for fitness-for-purpose and for documenting any adaptations.

Owner of data set Fabio Neves Puglieri

Technical purpose

Input Products No records found.

Co-Products No records found.

Data set version 00.00.032

Time stamp (last saved) 2026-01-31T11:39:48.325-03:00

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Compliance systems No records found.

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