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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20402 - Chemical process engineering

Návaznosti výsledku

  • Projekt

    Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Fuel

  • ISSN

    0016-2361

  • e-ISSN

  • Svazek periodika

    262

  • Číslo periodika v rámci svazku

    February

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    14

  • Strana od-do

    116623

  • Kód UT WoS článku

    000500166500112

  • EID výsledku v databázi Scopus

    2-s2.0-85075356257