Bibliographic record
Abstract
In recent years, the development of renewable energy from biomass has received a great deal of attention as a result of serious environmental problems, exhaustion of fossil fuels, and the growing global population. In this chapter, the use of various types of biomass for biofuel production and heat and power generation is discussed. In section one, the major types, characterizations, availability, and distribution of world biomass resources are summarized in detail, followed by Section 21.2, with a discussion on the production of conventional biofuels including bioethanol, biobutanol, and biodiesel. In Section 21.3, the advanced biofuels production via fast pyrolysis, microwave-assisted pyrolysis, and hydrothermal liquefaction (HTL) is covered. In addition, Section 4 reviews the use of third-generation biomass algae as the feedstock for producing biofuels, with a focus on the in situ transesterification for biodiesel, HTL for bio-oil, and anaerobic digestion for biogas. Following this, Section 5 presents the utilization of biomass for heat and power generation by combustion, gasification, and anaerobic digestion. Finally, Section 6 provides the main conclusions and recommendations for future work.
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) | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".