Research progress on novel solar steam generation system based on black nanomaterials
Bibliographic record
Abstract
Abstract Among all the renewable energy sources, solar irradiation has the greatest potential to meet the world's future energy demands. The solar‐driven generation of water steam has emerged as a promising route for solar energy utilization in the fields of global water cycle, seawater desalination, high‐temperature sterilization, and wastewater treatment. A typical solar thermal energy converting process involves heat harvesting by solar thermal absorber and heat stimulating the evaporation of water via sensible heat and latent heat. In this review, the novel direct solar steam generation systems based on black nanomaterials are presented. These direct solar steam production systems can be categorized into the following two types: nanofluid‐based evaporation systems and suspended interface evaporation systems. We describe the physical model and experimental results of these systems, as well as the determination of optimal evaporation system design according to excellent evaporation performance. Finally, we elucidate the dominant factors influencing the evaporation efficiency and propose improved approaches to further increase solar steam production efficiency for the discovery of practical applications.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".