A review of methods and data to determine raw material criticality
| Autor: | Min Ha Lee, Luis Tercero, Roland Gauss, Layla van Ellen, Atsufumi Hirohata, Roderick G. Eggert, Christian Hagelüken, David Peck, Gian Andrea Blengini, Komal Habib, Wei-Qiang Chen, Milan Grohol, Philip Nuss, Alessandra Hool, Armin Reller, Andrea Thorenz, Margarethe Hofmann-Amtenbrink, James Goddin, Keisuke Nansai, Jo Dewulf, Patrick Wäger, Jan Kosmol, Dieuwertje Schrijvers, Gang Liu, Maïté Le Gleuher, Guido Sonnemann, Anthony Ku |
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| Přispěvatelé: | Publica, Institut des Sciences Moléculaires (ISM), Université Montesquieu - Bordeaux 4-Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure de Chimie et de Physique de Bordeaux (ENSCPB)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Insitute of Geology China Earthquake Administration Beijing 100029, China (X.X., G.C., W.C.) (INSITUTE OF GEOLOGY), Insitute of Geology, Umicore, umicore Hanau, Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), State Key Lab. of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University [China], Université Pierre et Marie Curie - Paris 6 (UPMC) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
INDICATORS
Critical raw materials Economics and Econometrics Computer science FLOW Best practice media_common.quotation_subject 0211 other engineering and technologies Vulnerability [SDU.STU]Sciences of the Universe [physics]/Earth Sciences Material criticality 02 engineering and technology 010501 environmental sciences MINERALS 01 natural sciences Representativeness heuristic GEOPOLITICAL SUPPLY RISK ENVIRONMENTAL-IMPACT criticality assessment EVALUATE Quality (business) 021108 energy PERSPECTIVE Waste Management and Disposal ComputingMilieux_MISCELLANEOUS critical resources 0105 earth and related environmental sciences media_common Criticality assessment Strategic raw materials critical raw materials RESILIENCE FRAMEWORK Critical resources material criticality Identification (information) Criticality Risk analysis (engineering) [SDU]Sciences of the Universe [physics] Earth and Environmental Sciences Data quality METALS strategic raw materials |
| Zdroj: | Resources, Conservation and Recycling Resources, Conservation and Recycling, Elsevier, 2020, 155, pp.104617. ⟨10.1016/j.resconrec.2019.104617⟩ Schrijvers, D, Hool, A, Blengini, G A, Chen, W Q, Dewulf, J, Eggert, R, van Ellen, L, Gauss, R, Goddin, J, Habib, K, Hagelüken, C, Hirohata, A, Hofmann-Amtenbrink, M, Kosmol, J, Le Gleuher, M, Grohol, M, Ku, A, Lee, M H, Liu, G, Nansai, K, Nuss, P, Peck, D, Reller, A, Sonnemann, G, Tercero, L, Thorenz, A & Wäger, P A 2020, ' A review of methods and data to determine raw material criticality ', Resources, Conservation and Recycling, vol. 155, 104617 . https://doi.org/10.1016/j.resconrec.2019.104617 RESOURCES CONSERVATION AND RECYCLING |
| ISSN: | 0921-3449 1879-0658 |
| DOI: | 10.1016/j.resconrec.2019.104617⟩ |
| Popis: | The assessment of the criticality of raw materials allows the identification of the likelihood of a supply disruption of a material and the vulnerability of a system (e.g. a national economy, technology, or company) to this disruption. Inconclusive outcomes of various studies suggest that criticality assessments would benefit from the identification of best practices. To prepare the field for such guidance, this paper aims to clarify the mechanisms that affect methodological choices which influence the results of a study. This is achieved via literature review and round table discussions among international experts. The paper demonstrates that criticality studies are divergent in the system under study, the anticipated risk, the purpose of the study, and material selection. These differences in goal and scope naturally result in different choices regarding indicator selection, the required level of aggregation as well as the subsequent choice of aggregation method, and the need for a threshold value. However, this link is often weak, which suggests a lack of understanding of cause-and-effect mechanisms of indicators and outcomes. Data availability is a key factor that limits the evaluation of criticality. Furthermore, data quality, including both data uncertainty and data representativeness, is rarely addressed in the interpretation and communication of results. Clear guidance in the formulation of goals and scopes of criticality studies, the selection of adequate indicators and aggregation methods, and the interpretation of the outcomes, are important initial steps in improving the quality of criticality assessments. |
| Databáze: | OpenAIRE |
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