Analysis of life cycle datasets for the material gold
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
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Progress in Life Cycle Assessment 2019 . ed. / Stefan Albrecht; Matthias Fischer; Philip Leistner; Liselotte Schebek. Cham: Springer Science and Business Media Deutschland, 2021. p. 99-112 (Sustainable Production, Life Cycle Engineering and Management).
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
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TY - CHAP
T1 - Analysis of life cycle datasets for the material gold
AU - Fritz, Benjamin
AU - Schmidt, Mario
PY - 2021
Y1 - 2021
N2 - The representation of gold-producing processes in common life cycle assessment (LCA) databases is insufficient. The biggest problems identified are the missing data for recycling of high-value scraps and for ASM and the estimations in industrial mining. The life cycle inventories (LCI) for the latter are based on corporate reports. The data available from the company figures are always incomplete and must therefore be scaled between the different mines. This process was defined in this work as Intersystemic-Data-Scaling (IDS). An analogy is presumed here between mines, although literature shows that there are differences in mines like ore types that affect the extraction processes and thus the LCI. In the present study all the assumptions and IDS were visualized in a world map. It was found that except for energy demand and production volumes there is no flow without IDS. Finally, the actual shares of the different gold routes in the world market were estimated using literature research. When compared to the market shares used in common life cycle databases it can be seen that there are big data gaps emphasizing the importance of further data collection for the life cycle datasets for the material gold.
AB - The representation of gold-producing processes in common life cycle assessment (LCA) databases is insufficient. The biggest problems identified are the missing data for recycling of high-value scraps and for ASM and the estimations in industrial mining. The life cycle inventories (LCI) for the latter are based on corporate reports. The data available from the company figures are always incomplete and must therefore be scaled between the different mines. This process was defined in this work as Intersystemic-Data-Scaling (IDS). An analogy is presumed here between mines, although literature shows that there are differences in mines like ore types that affect the extraction processes and thus the LCI. In the present study all the assumptions and IDS were visualized in a world map. It was found that except for energy demand and production volumes there is no flow without IDS. Finally, the actual shares of the different gold routes in the world market were estimated using literature research. When compared to the market shares used in common life cycle databases it can be seen that there are big data gaps emphasizing the importance of further data collection for the life cycle datasets for the material gold.
KW - Data gaps
KW - Gold mining
KW - Life cycle inventories
KW - Market datasets
KW - Mineral extraction
KW - Sustainability Science
UR - http://www.scopus.com/inward/record.url?scp=85091592328&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/128f2f5b-e272-3209-9540-f81dfc1c2afd/
U2 - 10.1007/978-3-030-50519-6_8
DO - 10.1007/978-3-030-50519-6_8
M3 - Contributions to collected editions/anthologies
AN - SCOPUS:85091592328
SN - 978-3-030-50518-9
SN - 978-3-030-50521-9
T3 - Sustainable Production, Life Cycle Engineering and Management
SP - 99
EP - 112
BT - Progress in Life Cycle Assessment 2019
A2 - Albrecht, Stefan
A2 - Fischer, Matthias
A2 - Leistner, Philip
A2 - Schebek, Liselotte
PB - Springer Science and Business Media Deutschland
CY - Cham
ER -