Uncertainty Characterisation in Prospective LCA: Reliability of Pedigree Matrix Approach to Characterise Foreground Inputs’ Uncertainty – A Case Study for Emerging Photovoltaics
Authors
L. Oberbeck
Paula Pérez‐López (ORCID: https://orcid.org/0000-0002-5518-9336)
Lu Wang (ORCID: https://orcid.org/0000-0002-2874-7996)
Mathilde Marchand
Institutions
Total (France) (FR)
Institut de France (FR)
Institut Photovoltaïque d’Île-de-France (FR)
Centre Observation, Impacts, Énergie
Publication Details
Journal
SPIRE - Sciences Po Institutional REpository
Published
2024-10-21
Primary Topic
Environmental Impact and Sustainability
Type
article
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article
Uncertainty Characterisation in Prospective LCA: Reliability of Pedigree Matrix Approach to Characterise Foreground Inputs’ Uncertainty – A Case Study for Emerging Photovoltaics
L. Oberbeck, Paula Pérez‐López, Lu Wang, Mathilde Marchand
Journal
SPIRE - Sciences Po Institutional REpository
Topics
Environmental Impact and Sustainability
article
Uncertainty Characterisation in Prospective LCA: Reliability of Pedigree Matrix Approach to Characterise Foreground Inputs’ Uncertainty – A Case Study for Emerging Photovoltaics
L. Oberbeck, Paula Pérez‐López, Lu Wang, Mathilde Marchand
article en
Abstract
No abstract available for this paper.
Publication Tag
SPIRE - Sciences Po Institutional REpository
Institutions
Total (France) (FR), Institut de France (FR), Institut Photovoltaïque d’Île-de-France (FR), Centre Observation, Impacts, Énergie