Analysis of the Gas Holdup Evolution in a Circulating Jet-Loop Nitrifying MBR
Bibliographic record
Abstract
This paper presents an analysis of the gas holdup evolution in a novel type of jet-loop membrane bioreactor (JLMBR), designed for nitrogen removal through the nitrite route application. Its configuration is inspired from airlift systems. It consists of a 60-l reactor made of an internal airlift system coupled to an external liquid recirculation loop. Hollow fiber membranes are submerged in the riser compartment. The process was intermittently fed with a synthetic ammonia solution and the gas holdup evolution was monitored for 500 to 600 days. Experiments were performed using flowrates ranging from 0.4 to 1.03 Nm3/h, and from 0 to 0.6 m3/h for air and water, respectively. This corresponded to superficial velocities from 0.004 to 0.03 m.s-1 for air and 0 to 0.011 m.s-1 for water. The gas holdup ?g was directly measured by the volume expansion method, using a tubular level meter located on the plant. The reported results showed that, in the absence of microorganisms, ?g ranged between 0.5 and 5.5% for the investigated range of gas liquid superficial velocities, whilst increasing from 0.5 to 4.8% only in the presence of gas (no liquid recirculation). This double influence of the air and the liquid velocities on the gas holdup was described by a multilinear correlation.However in the presence of biosolids in the reactor, the gas holdup raised up to 6.5%, corresponding to an increase of ca. 48% (in average, with respect to data recorded on day 0). This increase in ?g was attributed to both a gas entrainment effect and an impact of the bioparticles recirculated into the reactor. Under experimental conditions investigated, the gas holdup increased linearly with the air and the liquid velocities, what corresponded to the bubbly flow regime in the system. This showed that, according to investigated conditions, the impact of circulated biomass was not enough to change the bubble gas flow regime.
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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 | 0.000 |
| 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".