Experimental Study of Co-firing and Emission Characteristics Fueled by Sewage Sludge and Wood Pellet in Bubbling Fluidized Bed
Bibliographic record
Abstract
하수슬러지 고형연료 및 우드펠렛의 전소 및 혼소 실험을 위해 내경 0.1 m, 높이가 1.2 m인 기포 유동층 반응기를 적용하였으며, 장치는 유동층 반응기, 연료 공급장치, 사이클론, 냉각기, 그리고 가스분석기로 구성되었다. 층 물질의 평균입자크기는 <TEX>$460{\mu}m$</TEX>이며, 최소 유동화 속도는 <TEX>$0.21ms^{-1}$</TEX>이다. 실험에 사용된 연료는 국내산 하수슬러지 고형연료 및 캐나다산 우드펠렛을 적용하였으며, 우드펠렛 기준 혼합율 20, 50, 80%로 고위발열량을 기준으로 산정하였다. 실험 고정변수는 당량비 1.65, 산화제 <TEX>$100Lmin^{-1}$</TEX>, 반응기 온도 <TEX>$800^{\circ}C$</TEX>, 유동화수 4로 설정하였다. TGA 분석 결과, 하수슬러지의 고형 연료의 연소성이 우드펠렛이 비해 상대적으로 좋지 않았다. 연소시 반응기 온도는 <TEX>$800{\sim}900^{\circ}C$</TEX> 사이로 유지되었으며, 유동층 반응기에서 하수 슬러지 고형연료의 낮은 연소성으로 인해 CO가 상대적으로 높게 측정되었다. 뿐만 아니라 <TEX>$NO_X$</TEX>와 <TEX>$SO_X$</TEX>는 하수슬러지 고형연료 내의 질소함량으로 인해 우드펠렛에 비해 높게 측정되었으며, 혼소율이 증가될수록 CO, <TEX>$NO_X$</TEX>, 그리고 <TEX>$SO_X$</TEX>의 배출이 감소하였다. 혼소에 따른 회분의 거동 및 퇴적 경향에서 모든 조건에 대해 슬래깅/파일링의 가능성이 높은 것으로 분석되었다. The bubbling fluidized bed (BFB) reactor with a diameter of 0.1 m and a height of 1.2 m was used for experimental study of co-firing and emission characteristics fueled by sewage sludge (SS) and wood pellet (WP). The facility consists of a fluidized bed reactor, feeding system, cyclone, condenser and gas analyzer, The mean particle diameter and minimum fluidization velocity are <TEX>$460{\mu}m$</TEX> and <TEX>$0.21ms^{-1}$</TEX> respectively. SS produced from Korea and WP from Canada were examined. The various mixing ratios of WP were 20, 50, and 80% based on HHV. The equivalence ratio of 1.65, reactor temperature of <TEX>$800^{\circ}C$</TEX>, air flow rate of <TEX>$100Lmin^{-1}$</TEX>, and fluidization number of 4 were fixed in the BFB experiment. In TGA, the range of combustion temperature of SS was wider than that of WP. It represents that the combustibility of WP is higher than that of SS. The BFB reactor temperature was maintained between 800 and <TEX>$900^{\circ}C$</TEX>. CO emission of SS was high because of lower combustibility. <TEX>$NO_X$</TEX> and <TEX>$SO_X$</TEX> formation of SS were higher than that of WP since high nitrogen and sulfur contents of SS. CO, <TEX>$NO_X$</TEX>, and <TEX>$SO_X$</TEX> formation were suppressed as the mixing ratio of WP was increased. The slagging and fouling tendencies show high in all test 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 | 0.000 |
| 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".