Promoting Sustainability in the Energy Sector in Nepal-with a Focus on Biodiesel Fuel
Bibliographic record
Abstract
This study analyzes the sustainability of various energy sources including micro hydro power and biodiesel in the context of Nepal. The main focus is on the development of biodiesel fuels from non-edible oil resources including waste cooking oil, jatropha and soapnut oil feedstocks grown on the marginal lands of Nepal. \n\nBiodiesel fuel samples were prepared by acid and/or base catalyst transesterification. Both single stage and dual stage transesterification processes were employed depending on the free fatty acid content of the oil feedstock. The oil to biodiesel conversion rate and total yield were monitored. The quality of the biodiesel fuels including viscosity etc was confirmed by an external laboratory and all fuels met the ASTM fuel quality requirements. \n \nCanola, jatropha and soapnut biodiesel fuels were tested to determine some atomization properties - density, surface tension and viscosity - at elevated temperatures and pressures. The density of three biodiesel fuels and diesel were determined up to 523 K and 7 MPa using a capacitance type densitometer. The results showed a linear relationship with temperature and pressure over the measured range. The experimental data were well within the range of canola and other biodiesel fuels found in the literature. Kay’s mixing rule was used to predict the density of some biodiesel blends and the results were found to be in agreement with less than 5% error with the measured data. \n\nThe surface tension was measured using a pendant drop apparatus for all three biodiesel and diesel fuels for temperatures and pressures up to 473K and 7 MPa. Results showed a linear relationship with temperature as well as with pressure. Temperature has a higher effect on surface tension than pressure. \n\nThe viscosity of all three biodiesel and diesel fuels were measured using a torsional vibration viscometer up to 523 K and 7 MPa. Results showed that the viscosity-temperature relationship of all three biodiesel fuels tested followed a modified Andrade equation which was also applicable when temperature and pressure were both applied simultaneously. The measured and regressed kinematic and dynamic viscosities obtained were comparable with values in the literature.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".