Bibliographic record
Abstract
Hydrogen fuel cells are likely to begin replacing conventional internal combustion engines as a power generation method for transportation applications in the near future. A life cycle analysis of a hydrogen fuel cell was performed to examine the major environmental impacts of such an engine in comparison with an internal combustion engine. To quantify the emissions, material consumption and energy consumption were identified by carrying out mass and energy balances, respectively. Wherever possible, a “well-to-wheel” approach was adopted to identify all the processes involved. The size of the hydrogen fuel cell engine selected was 60 kW, which would power a small automobile weighing around 800 kg. This report briefly describes the materials and processes involved in assembling such an engine, with their respective environmental impacts. Different technologies to build a hydrogen economy also are discussed because hydrogen is an integral part of most fuel cell engines. The main conclusion is that if an environmentally sustainable system of hydrogen production is found, the use of hydrogen and, in turn, hydrogen fuel cell cars would be highly beneficial. Thus, the theoretical potential of fuel cells is great for environmental benefits, but practical applications might prove otherwise.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".