Review-Paper: Sugar Alcohol Based Phase Change Materials: Progress and Challenges in Medium to High Temperature Heat Storage
Bibliographic record
Abstract
The present study analyses the potential of sugar alcohols as latent heat storage materials for applications in the medium to high temperature range (60-200 °C).In view of the increasing share of volatile renewable energies, thermal energy storage, especially on the basis of phase change materials (PCM), represents a promising solution.Sugar alcohols, including erythritol, xylitol, D-sorbitol and D-mannitol, are distinguished by their high melting enthalpies, optimal melting temperatures and advantageous polymorphic properties.The study systematically compares the thermophysical properties of the materials under varying heating rates and analyses eutectic mixtures to optimise melting behaviour and undercooling.Furthermore, the crystallisation triggering mechanisms (e.g.air injection, ultrasound, additives) and the rheological properties in the supercooled state are investigated.The findings demonstrate that the utilisation of appropriate mixtures facilitates stable supercooling and high cycle stability over an extended period, which is a pivotal consideration for seasonal heat storage.The combination of targeted sample preparation, mixing strategy and rheological control opens up new perspectives for sustainable thermal energy storage systems.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.011 |
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".