Chemical Hazard Assessment of Asymmetric Vanadium Flow Battery Electrolytes in Failure Mode
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Emerging battery technologies are transforming the landscape of energy storage. Within this domain, flow batteries are increasingly seen as critical enablers for the integration and deployment of renewable energy systems. Nevertheless, the electrolytes utilized in these systems present potential risks to both human health and environmental safety. Over the past five decades, vanadium–vanadium flow batteries have become a commercially viable solution; however, several distinct electrolyte compositions have been proposed for asymmetric vanadium flow batteries (V-X FB: X = Ce, Br, Fe, Mn, Zn, H 2, O 2 ), each driven by unique technical and commercial motivations. This study aims to evaluate their risks, prioritize further research investments, and identify gaps in current efforts to advance safer and more sustainable energy storage technologies. This research builds on our prior work, entitled Chemical Hazard Assessment of Vanadium–Vanadium Flow Battery Electrolytes in Failure Mode, [ Khaje, K. ACS Chem. Health Saf. 2025, 32, 449–460]. But shifts the focus to asymmetric vanadium flow batteries that are at a lower technology readiness level and are earlier in the commercialization pathway. Overcharging of batteries has been identified as one of the primary potential failure modes, directly leading to electrolyte degradation. This condition poses significant hazards due to the potential generation of toxic gases. Depending on the electrolyte composition, overcharging may result in the release of gases, such as Cl 2, Br 2, SO 2, H 2 S, PH 3, NO 2, CO 2, NH 3, or HCN, each carrying immediate risks to human health. This study shows that electrolytes containing bromide, chloride, and cyanide ions are particularly concerning, as they present the most severe toxicity hazards during failure modes. Future experimental work is needed to evaluate conditions under which gases are produced by these flow batteries under both normal and severe overcharging conditions and to quantify the associated hazards. This will provide critical insights for improving battery safety and guiding future research and development in energy storage technologies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".