Bibliographic record
Abstract
Abstract Pyrolysis oil has become an important subject of research as it is considered to be a potential environmentally friendly and cheap alternative to conventional fossil fuels. Unfortunately, due to the significant differences of the chemical and physical properties of pyrolysis oil than that of fossil fuels, the deployment of pyrolysis oil in existing power systems such as gas turbines and internal combustion engines has been highly restricted. Thus, major research on pyrolysis oil has been conducted to overcome these challenges related to the unfavorable physical and chemical properties of pyrolysis oil. This paper reports experimental work on the effects of physical properties of the pyrolysis oil on spray performance of nozzles. Effort to evaluate the spray performance by using different types of atomizers has been made as well. Laser based diagnostics was applied to obtain qualitative comparisons spray characteristics of various pyrolysis oils. Experimental data such as the distribution of fuel droplet sizes and overall spray shapes was analyzed, which could provide valuable guidelines to design fuel nozzles. Lastly, the paper will also present NRC’s plans to accelerate the deployment of such pyrolysis oils in industrial gas turbines.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".