Performance Study of a Domestic Boiler Fueled By Biodiesel Produced From Rapeseed
Bibliographic record
Abstract
A domestic boiler was used in this work to compare its performance when it is powered by diesel fuel and biodiesel fuel that is produced from rapeseed oil, then blends of both fuels were prepared with different concentrations of biofuel (B5, B10 and B20). The performance measurements included the efficiency of the boiler, the specific fuel consumption in addition to the environmental impact represented by exhaust gases analysis; this included the concentration measurements of main species such as NOX, NO2, NO, SO2, CO2 and hydrocarbon. It was found that there is a small decrease in boiler efficiency resulting from using biodiesel fuel. Moreover, an increase in the specific fuel consumption has been noticed. The performance of a domestic boiler when operating using B20, B5 and B10 blends has similar fuel consumption and efficiency when it is powered by petroleum diesel fuel. The regulated emissions from biodiesel fuel found to be more ecological than petroleum diesel, with the concentrations of all pollutants decrease with the percentages of biodiesel in the blends.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".