Investigating cost of delivering Switchgrass (Pnicum Virgatum) to a greenhouse using IBSAL model
Bibliographic record
Abstract
<abstract> <bold>Abstract.</bold> In this paper, the logistics system to deliver Switchgrass to a greenhouse in Ontario was evaluated. The daily heat demand of a greenhouse of 10000 <inline-graphic id=ID0EDGAE xlink:href=141904742_files/141904742-05.jpg/> in 2012 was calculated. The annual biomass demand of the greenhouse was 2177 Mg (with a boiler with the efficiency of 70%). The Integrated Biomass Supply Analysis and Logistics (IBSAL) model was used for simulating biomass logistics system. Three different farms in Clinton, Ontario were investigated in this study. The biomass logistics system included harvesting, raking, baling, loading, transportation, and storage. Cost, energy and carbon emission for the entire logistics system were estimated to be 64.72 $/Mg, 151.27 MJ/Mg and 10.37 kg CO2/Mg, respectively. The annual dry matter loss was 474 Mg. Two different harvest scenarios were compared, fall and winter harvests. The comparison showed that it is more viable to have winter harvest. To meet the demand of the greenhouse, there are two options of having another supplier, or decreasing the dry matter losses.
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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".