Hydrogen in the UK : regional drivers and differences hydrogen in cities and regions : an international review
Bibliographic record
Abstract
Hydrogen could be a significant fuel of the future, with the potential to make a major contribution to the resolution of pressing social and environmental problems such as carbon emissions, energy security and local air pollution. \n \nThis book, based on four years of detailed research, subjects the promise and potential of hydrogen to searching, in-depth socio-economic analysis. It discusses the different technologies for the production, distribution, storage and use of hydrogen, and analyses the economics of these technologies and their current market prospects. It also describes various experiences with aspects of a hydrogen economy in two parts of the world - the UK and Canada - and then assesses the nature of different hydrogen futures that might develop depending on how the technology, economics, social acceptance and policy frameworks play out in different contexts. The book ends by setting out the policy drivers and levers which could stimulate a virtuous circle of research and development, innovation and investment that might ultimately generate a sustainable hydrogen economy. \nThis is essential reading for economists, engineers, business leaders, investors, policy makers, researchers and students who are interested in the future of the energy system and the part that hydrogen might play in it.
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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".