Vermiculite/LiCl Composite for Adsorption Thermal Energy Storage
Bibliographic record
Abstract
Sorption based thermal energy storage systems are amassing more attention of the researchers, due to their high energy storage density, stability and cyclic performance.Several materials have been used for adsorption based thermal energy storage technology.One promising group of materials are hygroscopic salts (e.g.metal chlorides), due to their high energy storage density and water vapour sorption capacity.However, hygroscopic salts are difficult to handle due to deliquescence and issues of cyclic stability.One method of stabilizing hygroscopic salts is to impregnate a host material with them to form a salt-in-matrix composite.Vermiculite is considered to be a good candidate as a host material for salt-in-matrix composites for thermal energy storage due to its high porosity, high stability, and low cost.Pure vermiculite has low energy storage density in comparison to traditional adsorbents.However, when vermiculite is impregnated with LiCl energy storage density values of up to 159 kWh/m 3 can be achieved at 50% relative humidity after a regeneration temperature of 120C.This paper includes the synthesis and characterization, e.g.structural and thermal energy storage properties of the vermiculite based composite.
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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 | 0.000 | 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 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".