Feasibility and parametric studies of the performance on ground thermalstorage in diurnal operation as cold storage
Bibliographic record
Abstract
In an effort to reduce global warming, there is a crucial need to develop a system that can cool buildings efficiently and environmental-friendlily.As a result, a ground thermal storage (GTS) was designed to use a chiller or groundsource heat pump (GSHP) to cool the ground (from 7 pm to 7 am of the next day) as a cold storage and then directly use it to cool buildings (from 7 am to 7 pm).Parametric simulations were performed using TRNSYS to better design the GTS.It was found that closer borehole spacing was better for diurnal cold storage purposes.The effect of pre-cooling period starts to level off after about 3 weeks of 12-hour night-time ground cooling before the start of cyclic building cooling and ground cooling.Other parametric investigations included various ground moisture contents, flow rates, borehole depths, and thermal conductivities of the borehole grout.The outlet fluid temperature from the borehole and borehole heat transfer were examined.
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.
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 | 0.001 |
| 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) | 0.002 | 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".