Production Cost of Biocarbon and Biocomposite, and Their Prospects in Sustainable Biobased Industries
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
This study evaluated the economic prospects of biocarbon and biocomposite in the automotive industry and bioeconomy. The production cost of biocarbon produced from Miscanthus (a perennial grass), biocarbon-reinforced polypropylene (PP) composite (hereafter referred to as biocomposite), and automotive components are determined. The production cost of biocomposite was compared with inorganic filler-reinforced polymer composite (a conventional composite, i.e., talc reinforced PP composite). The production cost of biocarbon and biocomposite is estimated to be $513.1/ton and between $3536.7–$3647.3/ton, respectively (all dollar figures are in Canadian dollars). On the other hand, the cost of the conventional composite is likely to be $3544.8/ton. However, the production cost of an automotive component can be reduced by 9–11% compared with the conventional component if the components are produced from biocomposite. Further, this study determined the net present values (NPV) of a biocarbon plant and a composite manufacturing plant. The NPV of a biocarbon plant ($42.9 million) and a composite manufacturing plant ($34.0–$34.8 million for biocomposite and $34.7 million for conventional composite) showed that both the biocarbon and composite manufacturing phases are economically attractive. We concluded that by taking an industrial symbiosis approach, the biocomposite industry can be financially more attractive and contribute more to the bioeconomy.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it