Overview of solar thermal technology development and applications in West Africa: Focus on hot water and its applications
Bibliographic record
Abstract
Solar thermal technologies can help alleviate the sustainable energy access challenge in West Africa by offering complimentary solutions to reduce dependency on wood and fossil fuels. This paper provides a comprehensive regional overview of the water-based solar heating technology sector in West Africa in order to identify crucial factors that could boost a successful deployment of solar water heating systems in the region. Emphasis is placed on solar water heaters (SWHs), solar sorption refrigeration and solar heat for industrial process. The article summarizes the salient characteristics of widely used technological solutions and offers an understanding of the development and applications of solar water heating technology in the region. The review includes trends and research focusing on market, technologies, local manufacturing and policies, and shows that solar water heating potential remains scarcely exploited, with different status in different countries in the region. There are mostly thermosiphon systems with very few pumped systems. Industrial applications are practically inexistent, including concentrated solar heat. Finally, problems lying in the solar thermal sector in West Africa are analysed and measures for solving the problems are suggested.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".