On the use of an underground storage tank for disposing bleed water in standing column well systems
Bibliographic record
Abstract
A standing column well is a groundwater-coupled heat pump system used for household and commercial space heating and cooling. During off-peak periods, groundwater is pumped from the well to a heat exchanger before being returned to the same well. During high-demand periods, a fraction of the outlet water is returned to the aquifer using an injection well. This operation strategy increases the thermal output by boosting advective heat transfer due to groundwater flow towards the borehole. However, using an injection well to return the bleed water to the aquifer may reduce the injection well’s uptake capability in the long term. To limit the risks associated with injection wells, this study investigates an alternative solution employing a perforated underground septic tank for bleed water disposal. Instead of being directed to an injection well, bleed water is temporarily stored in an underground storage tank and drained to the ground through a perforated area. The applicability of this solution is illustrated by a finite element simulation representing a 20 m 3 storage tank combined with a standing column well working over a 30-day heating period. The finite element model is constructed to integrate the geological and climatic conditions observed at an experimental site located in Varennes, Canada, but also the experimental measurements made over a 30-day field campaign. The drainage process is modeled by combining Navier–Stokes equations with Richards equation to model unsaturated and saturated porous medium flow. The performance of the studied solution is assessed by monitoring the hydraulic head of the water in the storage tank. Despite the low permeability of the studied site, the numerical findings proved that the infiltration through the perforated area of the tank was sufficient for storing and draining a total volume of 121.5 m 3 of bleed water with an average drainage ratio of 0.85. Additionally, the drainage streamlines proved that water returns to the lower rock unit. These results demonstrate that integrating a storage tank eliminates the necessity of an injection well for the simulated period without overflow risk. Despite the fact that viscosity changes influence drainage procedures, the thickness of the unsaturated was found to be the most essential performance parameter for the storage tank. • A perforated underground storage tank provides a new bleed solution for standing column wells. • Infiltration through the unsaturated zone is a potential re-injection method of bleed flow rate. • The thickness of the unsaturated zone has the greatest influence on the drainage performance of the storage tank.
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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 | 0.001 |
| 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".