Upper Bound for the Efficiency of a Novel Chemical Cycle of H<sub>2</sub>S Splitting for H<sub>2</sub> Production
Bibliographic record
Abstract
To develop sustainable hydrogen production to meet its needs in oil sands upgrading and refining, a chemical cycle of hydrogen production from splitting hydrogen sulfide, the waste product from the same industrial sector, has been proposed. There are two routes of chemical processes to conduct the chemistry. Process 1 takes 1 mol of H 2 S and converts it into H 2 and S, and process 2 takes hydrogen sulfide, oxygen, and water (1:1:2 H 2 S/O 2 /H 2 O) as a feedstock and produces 2 mol of hydrogen and 1 mol of sulfuric acid. Similar to the sulfur−iodine cycle of water splitting for hydrogen, this cycle consists of an iodine−iodide loop and a sulfur dioxide−sulfuric acid loop. This study uses the thermodynamic data of the reactions involved to calculate an upper bound of the thermal efficiency of the hydrogen sulfide splitting cycle. With the enthalpy of the H 2 S oxidation reactions as part of the energy input to the cycle, the values of the maximum thermal efficiency for processes 1 and 2 are 0.41 and 0.36, respectively. However, if only external energy that meets the requirement of heat and work for reactions and pumping is taken into account, the thermal efficiency can be higher, at 0.66 and 0.70. It is found that the separations of sulfuric acid and hydrogen iodide respectively from their aqueous solutions generated within the cycle are still the most energy-consuming processes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".