3 keys to ensure the sustainability of your solar power plant
Bibliographic record
Abstract
In the context of climate change, green energies have an important place. Solar energy has gradually taken its place in the global energy mix, and investments in the operation of solar photovoltaic plants have been stimulated by a favourable market, despite the health and geopolitical crises. How can we ensure that these investments are sustainable in the sense of the United Nations’s Sustainable Development Goals? This is the objective of our study. We assessed the sustainability of large-scale, grid-connected photovoltaic solar power plants by conducting six case studies in six countries on the African continent to determine the key elements. Based on internal and external variables acting on the sustainability of on-grid solar power plants at various levels, three key areas of consideration emerged: (i) evaluation - using appropriate and qualitative evaluation tools, (ii) integration - opting for an integrated approach in the development of the investment project, and (iii) responsibility - not underestimating the corporate social responsibility in the local approach.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".