A Techno-Economic Comparison of CST and Conventional Cooking Technologies in West Africa
Bibliographic record
Abstract
Clean and affordable cooking remains a critical challenge in sub-Saharan Africa, where traditional biomass-based methods create health, environmental, and economic burdens. This study compares the economic viability of Concentrated Solar Thermal (CST) cookers, Fresnel Lens and Parabolic Trough Collector (PTC), with traditional charcoal stoves in rural Nigeria and Ghana using the Levelized Cost of Cooking a Meal (LCCM). While charcoal stoves offer the lowest short-term cost ($0.07628/meal), CST cookers become more economical over time, with the Fresnel Lens achieving an LCCM of $0.1432/meal over a 30-year lifespan. The PTC offers flexibility but has a higher cost due to its advanced design. The study emphasizes the potential health and environmental benefits of CST cookers, along with policy recommendations for overcoming adoption barriers through subsidies and innovative financing.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".