Review of Selected Heat Transfer Topics for Solar Thermal Energy Utilization and Storage
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This review article, developed by the K6 Committee—Heat Transfer in Energy Systems, a part of the Heat Transfer Division (HTD) of the American Society of Mechanical Engineers (ASME), summarizes advancements in heat transfer technologies for solar thermal energy utilization and storage, focusing on concentrated solar power (CSP), solar-driven cooling, sensible and latent thermal energy storage (TES), and novel heat exchanger designs. Key topics include heat transfer enhancement strategies such as additive manufacturing, phase change materials (PCMs), and triply periodic minimal surface (TPMS) structures for improving efficiency. The advances in solar-driven cooling and multigeneration systems are analyzed, emphasizing thermodynamic optimization through exergy and entropy generation minimization. Additionally, the study examines emerging methodologies, including constructal theory and second-law analysis, to enhance the performance of solar thermal applications. The article highlights overlaps in TES strategies, heat exchanger innovations, and system optimization approaches, offering a comprehensive perspective on sustainable energy solutions. Future research directions include scaling advanced TES materials, optimizing hybrid cooling technologies, and improving structural integrity in high-temperature heat exchangers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it