Co-production of Hydrogen and Copper from Copper Waste Using a Thermochemical Cu–Cl Cycle
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A novel hybrid Cu–Cl thermochemical cycle is developed and assessed for the co-production of hydrogen and copper using copper waste. An experiment is also conducted to establish the high-temperature electrolytic step as a proof of concept. A detailed parametric study is conducted to assess the effects of such parameters as process step temperature and energy efficiency of the electrical power plant that provides electricity to the cycle on the energy and exergy efficiencies of the overall cycle. The values of the energy and exergy efficiencies of the cycle are 31.8 and 69.7%, respectively. The maximum specific exergy destruction occurs in the electrolytic step. The results show that the proposed cycle performs better in terms of energy and exergy efficiencies compared to similar four-step Cu–Cl cycles. Using the proposed cycle, a new avenue may be open for copper waste to be more advantageously managed, potentially enhancing the sustainability of the relevant processes through improved environmental protection and resource recovery.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
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 it