A Novel Liquid‐Solid Circulating Fluidized‐Bed Bioreactor for Biological Nutrient Removal from Municipal Wastewater
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Biological nutrient removal (BNR) using a novel liquid‐solid circulating fluidized‐bed (LSCFB) bioreactor was assessed with and without particle recirculation. The LSCFB employs attached microbial films for the biodegradation of both organics and nutrients within a single circulating fluidized‐bed unit. This new technology combines the more compact and efficient fixed‐film process with the BNR process that provides the additional removal of nitrogen and phosphorous. A lab‐scale LSCFB was demonstrated to treat degritted municipal wastewater (MWW), operated at an empty‐bed contact time of 0.82 h. The system removed 94, 80 and 65 % of organic (chemical oxygen demand, COD), nitrogen (N), and phosphorous (P), respectively, without particle recirculation, whereas with particle recirculation the system removed excess phosphorus and achieved overall removal efficiencies of 91, 78 and 85 % for C, N, and P, respectively. The system generated effluent characterized by <5 mg biological oxygen demand/L, <5 mg total suspended solids/L, <1 mg NH 4 ‐N/L, <7 mg total nitrogen/L, and <1 mg PO 4 ‐P/L. Combination of nitrification, denitrification and enhanced biological phosphorus removal in one unit saves space, reduces energy consumption, and also produces less sludge at approximately 0.12–0.13 g volatile suspended solids/g COD consumed. Excellent lab‐scale results led to the establishment of a pilot‐scale LSCFB for MWW treatment at a capacity of 5000 L/day. Initial results of the pilot‐study showed a similar trend in BNR as observed in the lab‐study.
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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 it