Hydrogen production from hydrogen sulfide via a uniquely designed electrolysis process: experimental investigation
Bibliographic record
Abstract
• The Fe-Cl hybrid process is experimentally validated for H 2 production from H 2 S. • H 2 production is tested using FeCl 3 and KOH electrolytes (20–80 °C). • EIS is used under potentiostatic and galvanostatic modes for cell characterization. • H 2 production increased by 426 % with temperature rise from 20–80 °C. • EIS results show reduced impedance and improved charge transfer efficiency. The present work aims to develop a uniquely designed experimental test rig for hydrogen (H 2 ) production from hydrogen sulfide (H 2 S) and perform performance tests. The experimental activity focuses on the FeCl 3 hybrid process for H 2 S cracking, followed by H 2 S absorption, sulfur purification, and electrolysis for efficient H 2 production. Hydrogen production is studied using KOH and FeCl 3 electrolytes under varying temperatures between 20-80 °C. An electrochemical impedance spectroscopy (EIS) is employed to characterize the electrochemical cell under potentiostatic (0.5-2.0 V) and galvanostatic (0-0.5 mA) modes to analyze the system’s electrochemical response. The study results showed that hydrogen production increased by over 426 % from 20 °C to 80 °C. EIS analysis under potentiostatic mode showed Nyquist semicircle diameter reduced as the applied voltage increased from 0.5 V to 1.5 V, and phase angle shifted from -5.59° to -1.27°, confirming enhanced conductivity. Under galvanostatic mode, the impedance dropped from ∼25 Ω to ∼21 Ω as current increased, demonstrating improved kinetics for efficient H 2 production.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".