Clean Energy‐Based Production of Hydrogen: An Energy Carrier
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
Abstract In the context of a global energy market with rising demand along with an increasing aversion to greenhouse gas ( GHG ) emissions, the demand for clean energy production and, in particular, environmentally benign energy carriers and storage media are considerable. In this article, the production of hydrogen as a clean energy storage medium is addressed from a techno‐economic perspective. Furthermore, emphasis is placed upon hydrogen production channels that can facilitate large‐scale production and significant GHG mitigation at a relatively moderate cost. A number of hydrogen pathways are considered, which include wind‐powered electrolytic hydrogen production, biohydrogen production via gasification and pyrolysis, steam methane reforming ( SMR ) with and without carbon capture and sequestration ( CCS ), and underground coal gasification ( UCG ) with and without CCS . This article presents a holistic discussion of the salient techno‐economic trade‐offs and implications, challenges, and competitive advantages, as well as the environmental footprint pertaining to each hydrogen pathway.
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.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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