Prediction of CRI and CSR of cokes by two-step correction models for stamp-charged coals - Statistical analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F20%3A10242980" target="_blank" >RIV/61989100:27360/20:10242980 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0016236119319775?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0016236119319775?via%3Dihub</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Prediction of CRI and CSR of cokes by two-step correction models for stamp-charged coals - Statistical analysis

Original language description

A new approach for the prediction of Coke Reactivity Index (CRI) and Coke Strength after Reaction with CO2 (CSR) was proposed. For this purpose, 41 coking coals (40 USCB and 1 Appalachian coals) and 36 coal blends were studied. Cokes were carbonized using a pilot-scale coke oven by a stamp charging. Coals and coal blends were characterized by 14 properties and cokes by CRI and CSR indexes. Experimentally determined CRI and CSR indexes of cokes (type II) did not fit well with their calculated values from regression equations based on different coal blend properties (R &lt; ca. 0.370). The similar discrepancy was also observed if experimentally determined coke indexes were compared with weighted averages of CRI- and CSR- (R &lt; ca. 0.390). With the view of low reliability, herein, the prediction of CRI and CSR values of 36 cokes (type II) was based on 2 newly proposed two-step models. In model 1, the first step consists of preliminary calculation (estimation) of CRI/CSR indexes using modified regression equations originally calculated for the prediction of cokes (type I) carbonized from unblended coking coals; in model 2 calculation of CRI/CSR values (type II) in the first step is carried out using calculated weighted averages of CRI- and CSR- from type I cokes. In both models, estimated CRI/CSR values were corrected using calculated correction coefficients from regression equations based on coal blend properties. If compared with a traditional one-step procedure, the results document that this novel (two-step) approach provides much better prediction of the coke characteristics. (C) 2019

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20402 - Chemical process engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Fuel

ISSN

0016-2361

e-ISSN

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Volume of the periodical

262

Issue of the periodical within the volume

February

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

116623

UT code for WoS article

000500166500112

EID of the result in the Scopus database

2-s2.0-85075356257