Filtration of flue gas generated from solid biomass combustion for heat and CO2 enrichment applications in controlled growth environments
Bibliographic record
Abstract
Greenhouses are controlled growth environments that can regulate and isolate a controlled atmosphere from external disturbances to optimize plant growth. In northern climates, it is often necessary to provide additional heat to the greenhouse environment, since cool external temperatures limit the growth of plants year-round. In addition, plant growth is improved by elevating the plant growth space with carbon dioxide above ambient levels, increasing the plants photosynthetic rate.Biofuels utilizing woody biomass are considered a carbon neutral source of fuel that can be easily utilized to generate heat and carbon dioxide. However, during the combustion process, various gaseous pollutants are produced. These include pollutants that are harmful to human health (such as particulate matter) and pollutants that are harmful to plants (such as ethylene). Since the combustion reaction cannot be efficiently improved to prevent the formation of these pollutants, downstream filtration technologies are required to remove these flue gases. The FlueTRU system is a novel filtration system that was designed and constructed at Macdonald Campus of McGill University. The FlueTRU system has been connected to a Caddy II furnace inside an experimental hoop house for the purpose of testing low cost, high efficiency air filtration technologies. The system is comprised of three separate sections that are designed to remove different gaseous pollutants.The Electrostatic Precipitator Cyclone (E.P.C) is a duel technology filtration system designed to remove particulate matter. It consists of an initial cyclone to filter out large particulate matter and fly ash, followed by a second step cylindrical electrostatic precipitator. Initial results have shown a removal efficiency of approximately 95 percent when the chamber is charged, and the longest experimental run performed has been 10 hours.The Heat Destruction Element (H.D.E) is the third step and is an applied thermal oxidation chamber that utilizes heat generated by high voltage resistive wires to remove unwanted volatile organic carbon (V.O.C) molecules from the airstream. The system is able to heat the airstream to over 850 degrees Celsius, which is sufficient to completely oxidize the ethylene. In addition, this temperature can oxidize sulfur dioxide and carbon monoxide, reducing their concentrations to 0.01 and approximately 30 parts per million respectively.
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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".