Agricultural biomass residue inventories and conversion systems for energy production
Bibliographic record
Abstract
Interest in renewable energy has increased in recent years due to concerns about diminishing fossil fuel supplies and global climate change. Dedicated energy crops such as corn or short rotation forestry plantations can provide feedstock for bioenergy production, but agricultural residues are typically less inexpensive because production costs are included in the cost of producing the main crop or livestock product. This report provides an overview of available crop residues and livestock manure in eastern Canada. The inventories are linked to an assessment of energy conversion systems that are either in the commercial stage or are in the late development or pilot stage. Crop Residues Cereal straws and corn stover were identified as feedstocks with high potential for bioenergy production in eastern Canada, whereas hay, soybean stover, and crop residues from oilseed production had lower potential. Approximately 1.0 million oven dry tonnes (odt) per year (y) of cereal straw and 3.0 million odt/y of corn stover are available in eastern Canada. By region, 615 000, 310,00 and 65,000 odt of straw and 1.9 million, 1.1 million and 6 000 odt/y of corn stover are available per year in Ontario, Quebec and the Atlantic Provinces, respectively. Although corn stover represents a larger feedstock pool than cereal straw, procurement systems for stover require considerable development before this residue source can be utilized. The gross energetic potential of these residues is approximately 92 million GJ/year. Assuming a combustion efficiency of 50%, 46 million GJ of heat energy could be produced with a gross energetic value of 22.2 million GJ. By
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) | 0.000 | 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 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".