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Development of energy saving technology of coke dry quenching

2019· article· en· W2912211305 on OpenAlexaff
R. R. Gilyazetdinov, K. Suvorov, I. Yu. Sukhov, K. V. Slepov, O. E. Mikheeva, S. I. Malanicheva

Bibliographic record

VenueFerrous Metallurgy Bulletin of Scientific Technical and Economic Information · 2019
Typearticle
Languageen
FieldEnergy
TopicCoal and Coke Industries Research
Canadian institutionsEVRAZ (Canada)
Fundersnot available
KeywordsCokeDry gasQuenching (fluorescence)Natural gasWaste managementEnvironmental scienceChemistryEngineeringPhysics

Abstract

fetched live from OpenAlex

Application of coke dry quenching technology provides saving of energy resources, decreasing of environment pollution and increase of metallurgical coke quality. Despite of advantages of coke dry quenching facilities, an additional quantity of circulating gas is generated because of quenching technology peculiarities. This additional circulating gas must be released out of the cooling agent circuit resulting in environment pollution. Existing and proposed methods of reduction of emissions into atmosphere of excess circulating gas considered. It was shown, that utilization of the excess circulating gas as a fuel is the most effective solution of the considered problem. The solution comprise stabilization and support of combustible components composition in the circulating gas at the level of approved indices, joining of excess gas flows out of the dry quenching facility chambers, it enrichment by some amount of high calorie gas (coke or natural) and supply to gas uses. This technical solution was first realized by ArcelorMittal at the coke plant of the steel-works after E. Zendzimir in Krakov, Poland. In 2017 at the EVRAZ NTMK coke plant a project of the dry coke quenching facility modification was realized, comprising utilization of excess circulating gas, which has a considerable technical difference comparing with ArcelorMittal project. According to technology flowsheet, the excess circulating gas is collected out of operating chambers into a collector, cleaned of dust in a bag filter, chilled, enriched by a high calorie gas and delivered into the gas pipe of BF gas for further utilization as a fuel. To increase efficiency of the technology and to reduce the natural gas consumption for calorie content of enriched gas stabilization and supply it into the BF gas pipe line, the CO and H2 content in the circulating gas of the coke dry quenching facility is kept at the level of 12–15 and 4–5 % correspondently. Implementation of the technical modification of the coke dry quenching facility with elimination of harmful substances emissions within the excess circulating gas provided decrease of harmful substances emissions at JSC EVRAZ NTMK – 4 kg per ton of steel.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.214
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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