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Uncertainty sources in the life cycle assessment of construction products in Brazil

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Academic year: 2021

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Science Arts & Métiers (SAM)

is an open access repository that collects the work of Arts et Métiers Institute of Technology researchers and makes it freely available over the web where possible.

This is an author-deposited version published in: https://sam.ensam.eu Handle ID: .http://hdl.handle.net/10985/14097

To cite this version :

Fernanda Belezario SILVA, Olga Satomi YOSHIDA, Rachel HORTA ARDUIN, Carolina Almeida SOUZA, Claudia Echevenga TEIXEIRA - Uncertainty sources in the life cycle assessment of construction products in Brazil - 2017

Any correspondence concerning this service should be sent to the repository Administrator : archiveouverte@ensam.eu

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Uncertainty sources in the life cycle

assessment of construction products in Brazil

MSc. Fernanda Belizario Silva*, PhD. Olga Satomi Yoshida*, MSc. Rachel Horta Arduin**, MSc. Caroline Almeida Souza*, Elisabeth Donega Diestelkamp*, PhD Cláudia Echevenguá Teixeira*, PhD. Luciana Alves de Oliveira*

· Uncertainty estimation is important in LCA,

especially when comparing product

alternatives

· LCI : product manufacturing - primary data collection (factory / literature) | upstream and downstream - Ecoinvent 3.2 global datasets

· LCIA : IPCC 2013 - 100 years' timeframe

· CV distribution between itself and upstream /

downstream processes : ANOVA

· Question : what is the main source of uncertainty in LCA : the process itself or upstream and downstream

processes?

Context and Goal

Methods

Results

· Upstream processes are a major

uncertainty source in LCA of construction products

Conclusions

* Institute for Technological Research. São Paulo, SP, Brazil.

** Arts et Métiers ParisTech, I2M, UMR 5295, F-33400 Talence, France [fbsilva@ipt.br] Upstream or downstream (%) Process itself (%) Native wood Clay block Sand Gravel Concrete block Concrete Mortar Acrylic painting Sawnwood (native)

Construction

products

CV of GWP (%) 78 22 10.4 Materials

extraction manufacturingMaterials

Product

manufacturing

· Data quality assessment : Pedigree matrix universe: 01 factory (EPD)

95 5 21.1 65 35 15.1 82 18 13.0 97 3 21.8 78 22 18.2 60 40 9.5 13 87 18.3 23 77 16.5 · Analysis of 09 construction products in Brazil Sawnwood (planted) CEMENT Main contributors to uncertainty

Electricity Diesel Cement Acrylic binder

· Improving data quality of construction

products requires better data for upstream processes: importance of a national

database to increase LCA reliability

· Main upstream contributors: can help to define priorities for data collection

cradle-to-gate

range from 9,5% to 21,1%

-· GWP coefficient of variation : Monte Carlo

*** sampling with 10.000 interactions

· CV values for GWP indicator

*importance of considering uncertainty in LCA studies

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