Bioenergy from Biomass as an Ecuador-Peru Border Circular Economy Strategy
Bibliographic record
Abstract
This study reviews recent advances in the use of biodegradable waste for bioenergy purposes and employs the concept of the circular economy to assess regional development strategies grounded in the bioeconomy within the border region of Ecuador and Peru.Stratified sampling by clusters, the estimation of CO2 equivalent emissions, gas chromatography as an instrumental analytical method for methane quantification, and the electrical conversion of biogas are the methodological tools applied in this work.Among the estimated results, it can be mentioned that, due to the emissions of unused MSW, the opportunity cost for non-mitigation of its CO2 emissions is estimated at 0.34 and 2.58 million dollars at the local and regional level respectively.From 1.5 ton with recirculation of the biodegradable solid waste leachate, a maximum methane bioconversion of 93.89% purity in the biogas was achieved in phase 2 and 70.73% in Phase 1 after 60 days and 50 days in Phase 2. With this bioenergy potential, significant monetary benefits can be achieved, as well as an approximate NPV between 453 and 3,426 million dollars by implementing this initiative at the local and regional level respectively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| 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 source (direct Gemma or distilled Codex), 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".