A foresight study on the geopolitical vulnerabilities of the rare earth supply chain in securing green hydrogen

The transition to green hydrogen is increasingly shaped by the fragility of rare earth elements (REEs) supply chains. This study examines how REEs price volatility driven by geopolitical disruptions affects hydrogen infrastructure costs and scalability. Using a hybrid methodology combining Artificial Neural Network (ANN) forecasting with geopolitical scenario analysis, we forecast the behavior of neodymium, dysprosium, and terbium prices under stress conditions such as Myanmar’s mining bans and Red Sea transport disruptions. The ANN model outperformed ARIMA and XGBoost benchmarks, capturing nonlinear volatility patterns and signaling early warnings of material shocks. Results indicate that REEs price surges can elevate the Levelized Cost of Hydrogen (LCOH) by up to 9% in PEM electrolyzer systems. These findings underscore that hydrogen’s energy independence may be compromised by new material dependencies. The paper concludes that achieving hydrogen resilience requires linking energy sovereignty with material sovereignty through diversified refining capacity, circular economy measures, and regional cooperation.

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Publication Details

Journal
Environmental Earth Sciences
Published
2026-03-24
DOI
https://doi.org/10.1007/s12665-026-12907-3
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
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article

A foresight study on the geopolitical vulnerabilities of the rare earth supply chain in securing green hydrogen

Environmental Earth Sciences
Extraction and Separation Processes
article

A foresight study on the geopolitical vulnerabilities of the rare earth supply chain in securing green hydrogen

article en

Abstract

The transition to green hydrogen is increasingly shaped by the fragility of rare earth elements (REEs) supply chains. This study examines how REEs price volatility driven by geopolitical disruptions affects hydrogen infrastructure costs and scalability. Using a hybrid methodology combining Artificial Neural Network (ANN) forecasting with geopolitical scenario analysis, we forecast the behavior of neodymium, dysprosium, and terbium prices under stress conditions such as Myanmar’s mining bans and Red Sea transport disruptions. The ANN model outperformed ARIMA and XGBoost benchmarks, capturing nonlinear volatility patterns and signaling early warnings of material shocks. Results indicate that REEs price surges can elevate the Levelized Cost of Hydrogen (LCOH) by up to 9% in PEM electrolyzer systems. These findings underscore that hydrogen’s energy independence may be compromised by new material dependencies. The paper concludes that achieving hydrogen resilience requires linking energy sovereignty with material sovereignty through diversified refining capacity, circular economy measures, and regional cooperation.

Environmental Earth SciencesVol. 85(7)
Harran University (TR)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Extraction and Separation Processes
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A foresight study on the geopolitical vulnerabilities of the rare earth supply chain in securing green hydrogen · Environmental Earth Sciences (2026) | TGRS Research Map | TGRS