Supply chain design of biocarbon production from Miscanthus through hydrothermal carbonization in southern Ontario: A life cycle assessment perspective
Bibliographic record
Abstract
Miscanthus has emerged as a promising energy crop, with the feasibility of successful plantations demonstrated in southern Ontario. Converting this low-value biomass into valuable biocarbon through hydrothermal carbonization (HTC) presents new opportunities and markets for this feedstock. In this study, various supply chain scenarios were established within the region using Geographic Information Systems (GIS). Then, an environmentally focused approach was adopted to evaluate the environmental impacts of each scenario and promote the scale-up of HTC for biocarbon production from Miscanthus in southern Ontario. This study also assesses the environmental impacts of two different conversion methods: HTC and HTC combined with Anaerobic Digestion (AD). Moreover, it examines the effects of biomass aggregation and densification within the supply chains. Through life cycle assessment (LCA), the research found that integrating AD with HTC yielded significantly greater environmental benefits compared to using HTC alone. Additionally, biomass densification on farms did not provide substantial environmental advantages in the defined scenarios. Based on the study's findings, the east side of southern Ontario, specifically Zone 6, emerged as the most suitable location for establishing a supply chain dedicated to biocarbon production from Miscanthus. It showed global warming effects of -5.80414E+02 and -5.75571E+02 kg CO 2 eq for scenarios Z6-ND-C and Z6-ND-B, respectively. The LCA results indicated that the conversion method has the most significant environmental impact among the supply chain elements.
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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 | 0.001 | 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".