Data quality assessment framework for critical raw materials. The case of cobalt

León, María Fernanda Godoy; Dewulf, Jo

doi:10.1016/j.resconrec.2019.104564

Cited by 24 publications

(14 citation statements)

References 23 publications

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“…Further, the quality of data (in Table 2) used in the analysis was assessed by the Data Quality Assessment analysis approach, which is similar to the pedigree-matrix [40] and was recently also proposed by Godoy et al 2020 [41] as a way to assess uncertainty in MFA. This state-of-the-art method employs the use of quality indicators to give a semiquantitative indication of reliability; and representativeness in terms of temporal, geographical and technological correlations, through Data Quality Indicators (DQIs).…”

Section: Data Source and Assumptionsmentioning

confidence: 99%

“…A score of 1 is given when the data point is of the best quality, while a score of 4 is given when the data point has the lowest quality. The DQR scores are averaged and categorized as; 1.0-1.6, 1.7-2.4, 2.5-3.2, 3.3-4, indicating very high quality, high quality, low quality, and very low quality data respectively [41]. For example, the DQR for data used in banana waste valorization (line 15) and banana waste reuse (line 16) [37] given in Fig.…”

Section: Data Source and Assumptionsmentioning

confidence: 99%

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Material Flow Analysis and Resource Recovery Potential Analysis of Selected Fruit, Vegetable and Nut Waste in Kenya

Dulo

Githaiga

Meester

2022

Waste Biomass Valor

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In Kenya, agriculture is an important economic activity, which implies that a significant amount of bio-waste is generated. This is on one hand a waste management problem, but on the other hand, it is an opportunity for creating a sustainable bioeconomy. Therefore, this study investigates the potential recovery of bioresources from Kenyan bio-waste. The study first quantifies occurrence, current usage and disposal of three selected biomass types, being banana, Irish potato and coconut waste. Next, material flow analysis is used to systematically track the mass flow of these wastes. Finally, the potential of biomolecules, biomaterials and bioenergy from the waste streams is evaluated. The study revealed that about 6007, 426 and 50 kt of banana, Irish potato and coconut biomass is wasted. All these wastes can be biorefined, offering potential towards recovery of; flavonoids (74 kt), starch (377 kt), cellulose (2001 kt) and biogas (1757 GWh), being the total potential of the main bioresources from the three waste streams. The study therefore, concluded that, with proper waste collection, sorting and valorisation, there is a huge potential for bioeconomy in Kenya, at the same time reducing waste management problems. Graphical Abstract

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Section: Data Source and Assumptionsmentioning

confidence: 99%

Section: Data Source and Assumptionsmentioning

confidence: 99%

Material Flow Analysis and Resource Recovery Potential Analysis of Selected Fruit, Vegetable and Nut Waste in Kenya

Dulo

Githaiga

Meester

2022

Waste Biomass Valor

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“…Due to the importance of the metal, the Co cycle has been studied globally and regionally, fully or partially addressing its supply, demand, stocks and flows. Many of these studies have been developed through Material Flow Analysis (MFA) tools, applying both static and dynamic models ( National Research Council, 1983 ; Shedd, 1993 ; Harper et al., 2012 ; BIO by Deloitte, 2015 ; Zeng and Li, 2015 ; Sun et al., 2019 ; Matos et al., 2020 ; Godoy León and Dewulf, 2020 ). For the EU, a number of studies have been carried out.…”

Section: Introductionmentioning

confidence: 99%

“…For the EU, a number of studies have been carried out. Some of them have targeted inventory data (data to establish an MFA, e.g., value of parameters, flows) ( RPA, 2012 ; Godoy León and Dewulf, 2020 ), and many others have focused on scenarios for future demand and prospective dynamic MFA (dMFA) ( Ait Abderrahim and Monnet, 2018 ; Alves Dias et al., 2018 ; Deetman et al., 2018 ; Bobba et al., 2019 ; Tercero, 2019 ; Godoy León et al., 2020 ). However, little has been done to study the historical stocks and flows of Co in long-term retrospective analyses.…”

Section: Introductionmentioning

confidence: 99%

Analysis of long-term statistical data of cobalt flows in the EU

León

Blengini

Dewulf

2021

Resources, Conservation and Recycling

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Long-term statistical data was explored, acquired, processed, and analysed in order to assess the historical domestic production and international trade of a number of cobalt-containing commodities in the EU. Different data sources were examined for data, such as the British Geological Survey (BGS), the US Geological Survey (USGS), and the Eurostat and UN Comtrade (UNC) databases, considering all EU-member states before and after they joined the EU. For the international trade, hidden flows related to data gaps such as data reported in monetary value or recorded as “special category” were identified and included in the analysis. In addition, data from the Finnish customs database (ULJAS) was used to complement flows reported by Eurostat and UNC. From UNC, data was obtained considering the member states as reporters or as partners of the trade, due to internal differences of the database. Based on the acquired data the domestic production and international trade of the commodities were reconstructed for the timeframes 1938–2018 and 1988–2018, respectively. Next to the analysis of the trend of the production and trade of the different commodities, the importance of including hidden flows was revealed, where hidden flows represented more than 50% of the flow of a year in some cases. In addition, it was identified that even from reliable data sources, strong differences (more than 100% in some cases) can be found in the reported data, which is crucial to consider when utilizing the data in research.

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“…The criticality assessment of raw materials is an arduous task, with considerable variations among the different processes that exist to identify and evaluate them [68][69][70][71]. However, the quantification of the presence of critical raw materials can be a first approximation that allows scientists and engineers to carry out a better selection of materials, taking into account minimizing the use of these materials identified as critical [72].…”

Section: Introductionmentioning

confidence: 99%

Influence of the Composition on the Environmental Impact of a Casting Magnesium Alloy

et al. 2020

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The influence of the composition of magnesium alloys on their environmental impact was analyzed. In order to perform a more accurate environmental impact calculation, life cycle assessment (LCA) with the ReCiPe 2016 Endpoint and IPCC 2013 GWP (100 y) methodology was used, taking the EcoInvent AZ91 magnesium alloy dataset as reference. This dataset has been updated with the material composition range of several alloys included in the European standard EN 1753:2019. The balanced, maximum, and minimum environmental impact values were obtained. In general, the overall impact of the studied magnesium alloys varied from 3.046 Pt/kg to 4.853 Pt/kg and from 43.439 kg CO2 eq./kg to 55.427 kg CO2 eq./kg, depending on the composition. In the analysis of maximum and minimum environmental impacts, the alloy that had the highest uncertainty was 3.5251, with a range of ±7.20%. The element that contributed the most to increase its impact was silver. The AZ91 alloy, provided by the EcoInvent dataset, had a lower environmental impact than all the magnesium alloys studied in this work. The content of critical raw materials (CRMs) was also assessed, showing a high content in CRMs, between 89.72% and 98.22%.

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Data quality assessment framework for critical raw materials. The case of cobalt

Cited by 24 publications

References 23 publications

Material Flow Analysis and Resource Recovery Potential Analysis of Selected Fruit, Vegetable and Nut Waste in Kenya

Material Flow Analysis and Resource Recovery Potential Analysis of Selected Fruit, Vegetable and Nut Waste in Kenya

Analysis of long-term statistical data of cobalt flows in the EU

Influence of the Composition on the Environmental Impact of a Casting Magnesium Alloy

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