Characterization of Selected Coal Mining Sites in Kogi State Nigeria for Power Plant Generation
Bibliographic record
Abstract
Fifteen coal samples were collected from Dangote, Zouma. and Omelewu coal sites, Kogi, State. Five samples from each site were subjected to laboratory tests which include proximate analysis, ultimate analysis, calorific value and total Sulphur content determination to determine their suitability for power generation. ASTM D3173, ASTM D5142, ASTM D3175, and ASTM D5865 standards were used respectively. Tests were carried out at FUTA laboratories and Sheda Science and Technology laboratory, Abuja, Nigeria. Dangote coal is a sub-bituminous B, low Sulphur and medium ash coal; Zouma sub-bituminous C, low Sulphur, medium ash coal, while Omelewu coal is a sub-bituminous C, low Sulphur, low ash coal. The coal samples analyzed are suitable for power generation (Heating value: 8,300 - 9,500 Btu/lb; Moisture content: 16.52% - 17.49%; Low Sulphur content <1.0); low to medium Ash contents 8.0-15.0%) and is in agreement with requirements published by coal-fired power plant operators. Gross calorific values, inherent moisture and contents of Zouma sub-bituminous coal make it more largely suitable for pulverized coal combustion when compared with the coal fuel used for the Genessee Phase 3 power station in Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".