Navegando por Autor "Rodrigues, Thiago Oliveira"
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Artigo Evaluating and ranking secondary data sources to be used in the Brazilian LCA database – “SICV Brasil”(Elsevier, 2021-04) Souza, Luri Shirosaki Marçal de; Nunes, Andréa Oliveira; Giustia, Gabriela; Saavedra, Yovana Maria Barrera; Rodrigues, Thiago Oliveira; Braga, Tiago E. Nunes; Silva, Diogo Aparecido LopesThe generation of reliable life cycle inventories is essential towards Life Cycle Assessment (LCA) development, and the use of literature inventories as data sources can serve as a driving force for emerging LCA databases. The aim of this paper was to propose a method to select and rank scientific publications to be used as possible data sources for supplying LCA databases with new datasets. A case study was designed to identify eligible datasets to compose the emergent Brazilian Life Cycle Inventory Database System – the “SICV Brasil” launched in 2016. The methodology used was based on an exploratory research composed of three steps: i) a bibliographic survey on the scientific productions of Life Cycle Inventories (LCI) in Brazil from 2000 to 2017; ii) a cross-check of LCI data and information based on the 40 selected requirements used in order to analyze the quality of LCI datasets in terms of mandatory, recommended and optional requirements; and iii) an analysis of the data quality requirements for those datasets with support of principles of Analytical Hierarchy Process (AHP) to elect possible datasets to be included in the SICV Brasil database. In total, 57 publications were analyzed and the results indicated that mandatory requirements had under 50% acceptance and only 10 requirements (less than 25%) were fully met. The best LCI dataset received 73 points (90%) with the scoring method, while 16 datasets were given less than 40 points (50%). Therefore, it is necessary to improve data quality of LCI datasets found in literature before using them to integrate LCA databases. In this regard, this study proposed a guide with short, medium, and long-term measures to mitigate this problem. The idea is to put an action plan into practice to gather more LCI datasets from literature which may be eligible for publication to SICV Brasil to improve this national database with more and relevant high-quality datasetsArtigo Why using different Life Cycle Assessment software tools can generate different results for the same product system? A cause–effect analysis of the problem(Elsevier, 2019-10) Silva, Diogo Aparecido Lopes; Nunes, Andréa Oliveira; Pierkaski, Cassiano Moro; Moris, Virgínia Aparecida da Silva; Souza, Luri Shirosaki Marçal; Rodrigues, Thiago OliveiraThere are different software tools to perform Life Cycle Assessment (LCA) and results may be different according to which software the user chooses. This paper aims to present how different LCA results can be achieved due to using different LCA software tools for the same product system. The present study focuses on analyzing four LCA software tools: SimaPro, Gabi, Umberto® and openLCA, and a standard case study was designed for the LCA comparisons for the particleboard production in Brazil. The product system was modeled in terms of gate-to-gate (G2G) and cradle-to-gate (C2G) approaches, and the ILCD midpoint was the Life Cycle Impact Assessment (LCIA) method. Characterized and normalized impacts were calculated and compared in terms of maximum/minimum relative deviation for five different impact categories. An analysis of the current software tools indicates that photochemical ozone formation and ecotoxicity freshwater categories were highlighted because of their high relative impacts. However, the G2G impacts for all the software tools were less affected than the C2G impacts, which indicate there are differences in the causes of the impacts for the background datasets. Furthermore, an analysis of the Characterization Factors (CFs) was designed and the results were revealed: i) missing CFs in some software, ii) additional CFs in some software, and iii) different CFs for the same flows. Based on that, a cause–effect analysis was performed, and two root causes were identified: import process for background datasets, and lack of rules for implementing LCIA methods in the software tools. To deal with such root causes, a roadmap was proposed and we recommended to include LCIA methods into a node at the Global LCA Data network, and consequently all software tools should update their databases from there. This would help to at least reducing the discrepancies of LCA results