Evaluating the production and exergetic performance of point-of-use reverse osmosis devices for brackish water desalination
Bibliographic record
Abstract
An exergy analysis was conducted to investigate the high specific energy consumption (SEC) of point-of-use reverse osmosis (POU RO) devices.The RO module from one such device was experimentally characterized for desalination of 650, 1,000 and 1,800 mg/L sodium chloride solutions at 70-630 kPa feed pressures.The minimum SEC was 1.54 ± 0.04 kWh/m 3 , while the maximum second law efficiency and recovery ratio were 1.80% ± 0.05% and 24.6% ± 0.8%, respectively.Losses at the motor, pump, RO element, and flow restrictor respectively accounted for 36%, 25%, 8%, and 29% of the SEC at the intermediate concentration.By highlighting these inefficiencies, we also identified potential avenues for improving the system performance.Recovering brine pressure can decrease SEC significantly.Elevated feed pressures could also decrease SEC and raise recovery ratio but permeate flux would exceed recommended design limits (< 30 L/m 2 •h), thus increasing fouling risk.The same could be achieved by increasing membrane area provided that the resulting increase in cost and size of the system are acceptable.This work will help guide new developments to decrease the energy consumption of POU RO desalination.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".