Impact of side stream crossflow filtration on water quality in a HVAC circuit
Bibliographic record
Abstract
This study evaluates the impact of a VORTISAND® Crossflow Microsand Filter (CMF) on the water quality and operational efficiency of a cooling tower system in a large hospital building. Data was collected over 18 months, comparing periods when the filter was active versus inactive. Results demonstrated that the filter reduces turbidity, total suspended solids, and particle counts by 20%, 25-30% and 69%, respectively. The filter was effective particularly for particles >1 μm . Filtration also decreased the concentration of iron and calcium ions by 15% and 25%, indicating its effectiveness in managing particulate and scaling components. While the filter improves water quality and stabilizes system operations, it increases water consumption by 20.7 % due to backwashing. These findings highlight the potential of integrating physical filtration into cooling tower management to optimize performance and reduce chemical use, although further strategies are needed to minimize water losses. This study offered a unique opportunity to successfully shut down the CMF in a full-scale operating system with high maintenance standards and assess the actual impact of the filtration on water quality and operability of the HVAC system.
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 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 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".