Factibilité De Valorisation Des Pulpes De Café Dans La Transition Energétique
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
The ongoing reliance on wood energy is a major obstacle to the energy transition, while also exacerbating deforestation and ecosystem degradation. In this context, the recovery of agricultural residues offers a sustainable alternative that is still largely untapped. Among these residues, coffee pulp, a by-product representing 40 to 50% of the weight of pulped cherries, is an abundant but largely neglected resource. This study therefore presents a review of the literature aimed at assessing the feasibility of its energy recovery. The methodology was based on a systematic literature search in academic and institutional databases, covering the period 2010–2025 and resulting in the selection of 64 relevant documents. The results highlight: (i) a significant but poorly quantified availability of pulp; (ii) current uses limited to artisanal composting, which also generates significant environmental externalities; (iii) three main technological pathways for recovery, such as methanization, pyrolysis, and briquette production, all of which are technically feasible but face financial, institutional, and social obstacles; and (iv) the decisive role of cooperatives, local governance, and community acceptability in the sustainable adoption of these innovations. As a result, energy recovery from coffee pulp represents a strategic opportunity to reduce pressure on forests, diversify energy sources, and strengthen the socio-economic sustainability of Congolese agricultural systems.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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