Realization of a Based Concrete Thermal Storage Module used with a Medium Temperature Parabolic Trough Solar Collector
Bibliographic record
Abstract
Thermal solar energy has been considered for years as one of the most promising candidate for the substitution of the conventional systems providing a clean and sustainable energy solution. However, the intermittent aspect of the solar irradiation received by the earth surface presented a major obstacle for the exploitation and the integration of such technology in various applications. In order to avoid this barrier a thermal storage system for solar energy became a necessity especially for the concentrated solar power technologies. This paper shows the work carried out to determine the thermal behavior of a concrete storage unit for medium temperature applications. The experimental thermal storage module using concrete was realized and tested in order to be integrated in an advanced setup to a solar cooling installation powered by a parabolic trough solar collector. The thermal characteristic of the used concrete matrix was determined. The thermal storage module was tested under the same thermal conditions provided by the solar collectors. The temperature variations of the module during the charging and the heat loss during the night time were investigated. The test results showed some interesting thermal inertia of the concrete based storage module. The integration of the proposed storage module to the solar loop of the cooling installation will lead to extend the operation time after sunset and to decrease time lasted by the solar parabolic trough collector to reach the required operational temperature in the morning.
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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 | 0.000 |
| Open science | 0.001 | 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".