A comprehensive review on the implementation of the biorefinery concept in biodiesel production plants
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Biodiesel is a promising alternative to petroleum diesel and its production from various generations of feedstocks by using different technologies has been constantly growing globally. However, in spite of such large scale of production, serious considerations should be taken into account to ensure the long-term sustainability of biodiesel production. This issue becomes more of concern given the fact that some generations of feedstocks used for biodiesel production are in clear conflict with food security. The concept of biorefinery has been at the center of attention with an aim to address these challenges by promoting an integral use of biomass to allow the production of multiple products along with biodiesel. Such implementation has been extensively studied over the last years and is expected to lead to economic, environmental, and social advantages over individual processes. The current review first presented an overview on biodiesel, its different feedstocks, and production technologies. Subsequently, the biorefinery concept and its correct implementation was technically discussed. Biodiesel production under the biorefinery scheme was also presented. Finally, techno-economic analysis of biodiesel production under the biorefinery concept by considering palm oil-based biorefinery as case study was investigated.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it