The Development of an Off-Peak Ground Pre-Cool Control Strategy for Hybrid Ground-Source Heat Pump Systems
Bibliographic record
Abstract
Hybrid Ground-Source Heat Pump (HGSHP) systems have been introduced as a remedy to overcome the current financial hurtles associated to the installation of geo-exchange technology. However, there still remains potential for increased economic feasibility of geo-exchange through proactive operation prefaced with higher level control. This study introduces a control strategy referred to as an off-peak ground pre-cool, employing time-of-use conscious operating logic capable of facilitating artificial bore-field pre-conditioning to improve a geo-exchange system’s cooling mode performance. Artificial pre-conditioning of a system’s bore-field introduces the potential to improve the bore-field’s thermal characteristics in a controlled manner. With improved thermal characteristics a bore-field can be exploited more efficiently during the following peak periods; introducing additional economic incentives by reducing peak power consumption attributed to space cooling. This study presents a multifaceted approach which intends to concurrently address improving system economics and aid in the balancing of the electrical grid.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".