A Innovative Solution to the Problem of Mill Rejects in Thermal Power Plants
Bibliographic record
Abstract
The present paper discusses an innovative means for solving the problem of accumulation of waste coal in some pulverized coal fired plants. A major waste in a pulverized coal fired power plant is the reject produced from pulverizing mills. When coal is ground in a bowl mill heavy mineral matters are separated, but they still contain a small amount of coal mixed. However, the heating value of the rejects is generally too low for combustion in conventional boilers. As a result they find limited commercial use and are dumped in the plant adding to the fugitive dust, leaching problem and most importantly devastating damage to the landscape. The amount of mill reject is significant in older operating plant. In India for example, it is about 0.5–1.0% of coal throughput into the boiler. In this paper, an exercise is undertaken to show how these rejects could be burnt to produce low pressure process steam, which could save the bleeding of main steam of the power plant and thereby augment power generation. A subcompact novel circulating fluidized bed boiler has been designed, built and commissioned for this purpose. The present paper discusses the finding of above exercise.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".