Development of the technology for nuclear production of hydrogen
Bibliographic record
Abstract
Hydrogen is a clean energy and must be produced by means of primary energy.To use nuclear energy for producing hydrogen in commercial scale is a promising way in the future.High temperature gas cooled reactor(HTGR) can generate electricity with high efficiency and provide high temperature process heat,therefore,it is most suitable for hydrogen production.Two hydrogen production processes,thermochemical cycle and high temperature steam electrolysis(HTSE),could be used for coupling with HTGR.These processes are being investigated in many countries,such as the United States,Japan,France,Canada and China.The nuclear power is rapidly developing in China.The construction of 200 MWe HTGR-PM demonstration plant has been started.In the meantime,the nuclear production of hydrogen processes are being developed in Institute of Nuclear and New Energy Technology(INET),Tsinghua University.The both processes,S-I thermochemical cycle and HTSE,have been successfully verified in laboratory scale in 2009.
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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) | 0.000 | 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".