Understanding dynamic availability risk of critical materials: The role and evolution of market analysis and modeling
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Understanding dynamic.pdf
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Author(s) • •
Olivetti, Elsa A.
Field III, Frank R
Kirchain Jr, Randolph E
Date Issued
June 2015
Journal
MRS Energy & Sustainability
Publisher
Cambridge University Press
Citation
Olivetti, Elsa et al. “Understanding Dynamic Availability Risk of Critical Materials: The Role and Evolution of Market Analysis and Modeling.” MRS Energy & Sustainability 2 (2015) © 2015 Materials Research Society
Version
Author's final manuscript
Abstract
Many advanced energy technologies are fundamentally “materials-dependent”; they are enabled directly by, or designed around, a particular material or materials. Society's acute dependence on materials has increased in recent years as these technologies tap into an ever broader range of the periodic table and, therefore, into a broader set of underdeveloped and complex supply chains. Ultimately, concern around the supply of materials strategic to energy and security interests has led to the development of a range of systems used to assess criticality—the confluence of vulnerability and risk. Concerning the assessment of criticality risk, this review accomplishes two primary goals. First, through a review of several broad assessments of criticality metrics, we identify those metrics that incorporate assessment of future production and consumption. We review the methods that have been applied to project production and consumption along two axes, one around degree of detail or granularity pursued by the model and the second around the degree to which market function is modeled endogenously. Regarding the second, material projection methods can be broadly classified as (a) those which project material flows only and (b) those which use market modeling to explicitly simulate (endogenously) the associated economic behavior and its implication on material flows.
MIT Department
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Massachusetts Institute of Technology. Engineering Systems Division
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1557/mre.2015.6