Synergies between green hydrogen and renewable energy in South Africa
Bibliographic record
Abstract
South Africa has excellent conditions for renewable energy generation, making it well placed to produce green hydrogen for both domestic use and export. In building a green hydrogen economy around export markets it will face competition from countries with equivalent or better resources and/or that are located closer to export markets (e.g., in North Africa and the Middle East) or have lower capital costs (developed markets like Australia and Canada). South Africa, however, has an extensive energy system with unserved electricity demand. The ability to trade electricity with the national grid (feeding into the grid during times of peak dedicated renewable energy supply and extracting from the grid during times of low dedicated renewable energy availability) could reduce the cost of producing green hydrogen by as much as 10–25 %. This paper explores the opportunity for South African green hydrogen producers presented by the electricity supply crisis that has been ongoing since 2007. It highlights the potential for a mutually reinforcing growth cycle between renewable energy and green hydrogen to be established, which will contribute not only to the mitigation of greenhouse gas emissions but to the local economy and broader society.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".