More transitions, less risk: how renewable energy reduces risks from mining, trade and political dependence
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Decarbonisation, electrification and growing demand for energy storage will augment total material demand even while fossil fuel use may decline.
“Stepping back, the work we have briefly reviewed shows how decarbonisation, electrification and growing demand for energy storage will augment total material demand even while fossil fuel use may decline [1,2].”
From Towards the lithium-ion battery production network: Thinking beyond mineral supply chains (2022) · cites this paper as [1]
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Towards the lithium-ion battery production network: Thinking beyond mineral supply chains
Bridge, G., & Faigen, E. (2022) · Energy Research & Social Science · doi:10.1016/j.erss.2022.102659 · Cited by 223 · see citing works
- Authors
- Krane, J., & Idel, R.
- Corresponding author
- Krane, Jim
- Venue
- Energy Research & Social Science
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 82
- Pages
- 102311
- ISSN
- 2214-6296 (ISSN-L)
- OpenAlex
- W3203406834
- Cited by
- 70
- References
- 25
- Citations by year
- 2026: 9 · 2025: 18 · 2024: 17 · 2023: 17 · 2022: 9
- FWCI
- 13.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Energy Research & Social Science (publishedVersion)
- Funders
- Rice University
- Topics
- Physical Sciences › Energy › General Energy › Global Energy Security and Policy
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Global Energy and Sustainability Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Keywords
- renewable energy transition, fossil fuel substitution, mining risk, political risk, import dependence, rare earth elements, lithium, cobalt, copper, wind energy, coal substitution, energy security, international trade
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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