An experimental system for characterization of membrane fouling of solar photovoltaic reverse osmosis systems under intermittent operation
Bibliographic record
Abstract
ABSTRACT Many remote communities struggle to provide a reliable source of clean drinking water. Solar photovoltaic reverse osmosis (PVRO) systems are a stand-alone water purification technology that can help alleviate this need. A challenge associated with these systems is the variation in the available energy, and as a result, the systems are typically designed to operate intermittently which can cause premature membrane fouling. During the design of PVRO systems, basic approximations are typically used to evaluate the performance and economic impact of this membrane fouling caused by intermittent operation. However, this fouling has not been characterized experimentally. This paper describes an experimental lab-scale reverse osmosis system which was developed to study the effects on membrane fouling of this intermittency. The system consists of three stainless steel crossflow reverse osmosis membrane cells connected in parallel, equipped with automated valves and pumps to evaluate different pre-treatment options, and instrumented to characterize the operating parameters and membrane fouling. This system was used to preliminarily characterize membrane fouling for intermittent operation common of PVRO systems. Two reverse osmosis operating modes were studied, continuous operation (24 h/d) and intermittent operation (8 h/d). During these experiments, it was shown for surrogate brackish water with minimal biological content, there was not a significant change in membrane fouling due to intermittent operation. This experimental system will be applied in future experiments to further evaluate membrane fouling under other operational conditions typical in PVRO systems and extracted models will be used in modular design methods for custom PVRO systems that are robust to variability in operating conditions.
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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 | 0.000 | 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 | 0.000 | 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".