Configurations for multiple thermal energy storages in thermal networks
Why this work is in the frame
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Bibliographic record
Abstract
There are some conditions, depending on space availability, economics, project requirements, insulation, storage media and other issues, for which it may be advantageous to utilise several thermal energy storages (TESs) instead of one in thermal networks. Here, various configurations for multiple TESs are proposed and examined. First, one TES is investigated to determine the final temperature and energy recovery. Next, various configurations of multiple TESs are developed as functions of TES characteristics. In the parallel configuration, the TESs behave independently. This suggests that with the TES can consist of different storage media types and sizes, and that there is no restriction on initial TES temperature, while for the series configuration, the TESs are connected directly or indirectly through a heat exchanger. The general grid configuration is observed to exhibit characteristics of both series and parallel configurations.
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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