Comparative life cycle analysis of electrolyzer technologies for hydrogen production: Manufacturing and operations
Bibliographic record
Abstract
This study conducts a comprehensive life cycle assessment (LCA) of four electrolyzer technologies: alkaline electrolyzer (AEL), proton-exchange membrane (PEM), anion-exchange membrane (AEM), and solid oxide electrolyzer (SOE). It evaluates their environmental impacts across four main categories: climate change (CC), human health (HH), ecosystem quality (EQ), and abiotic stock resources (ASRs). In order to highlight the critical raw materials (CRMs) used in their manufacturing processes, the research identifies potential material replacements and reveals distinct environmental impacts associated with material choices, such as steel in AEL and AEM, platinum in PEM, and nickel in both SOE and AEL. Additionally, we examine the integration of diverse electrolyzer technologies under various scenarios of renewable electricity sources. Together with a sensitivity analysis of regional electricity mixes and the degradation of stacks across different years, the study provides insights into significant opportunities for performance enhancements in emerging electrolyzer technologies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".