ISSN 2594-357X
Title
Authorship
DOI
Downloads
Abstract
The situation of availability of the good coking coal neither permits nowadays to plan a new charging blend carefully quite in time nor to charge it to the coke ovens for a long period. The availability of suitable quantities on the spot market often decides about the coals for the blend. Thus the operators have to face a situation of frequently changing coal basis. With respect to this situation every helpful means would be appreciated to receive rapid and reliable information about the influence of varied blend properties on coke quality or to optimize the blend concerning economical aspects. The semi-technical scale carbonization test ovens of DMT and the small-scale coking retort are well-known and have been using to monitor the carbonization behavior of individual coals and to optimize coking coal blends since several decades successfully. Nearly simultaneously a prediction model to estimate the coke quality has been developed based on significant coal data. Recent effort and achievement on the prediction model expand its use not only for the coke quality prediction, but to a coal blend optimization prediction model that includes the technical and economic constraints of coke oven operator. DMT will present on two practical cases how the equipment of the DMT cokemaking facility and the enhanced prediction model allows to optimize coal blends concerning coke quality, coke oven safety and economics.
The situation of availability of the good coking coal neither permits nowadays to plan a new charging blend carefully quite in time nor to charge it to the coke ovens for a long period. The availability of suitable quantities on the spot market often decides about the coals for the blend. Thus the operators have to face a situation of frequently changing coal basis. With respect to this situation every helpful means would be appreciated to receive rapid and reliable information about the influence of varied blend properties on coke quality or to optimize the blend concerning economical aspects. The semi-technical scale carbonization test ovens of DMT and the small-scale coking retort are well-known and have been using to monitor the carbonization behavior of individual coals and to optimize coking coal blends since several decades successfully. Nearly simultaneously a prediction model to estimate the coke quality has been developed based on significant coal data. Recent effort and achievement on the prediction model expand its use not only for the coke quality prediction, but to a coal blend optimization prediction model that includes the technical and economic constraints of coke oven operator. DMT will present on two practical cases how the equipment of the DMT cokemaking facility and the enhanced prediction model allows to optimize coal blends concerning coke quality, coke oven safety and economics.
Keywords
Cokemaking; Coal blend optimization; Coke quality; Coke oven safety.
Cokemaking; Coal blend optimization; Coke quality; Coke oven safety.
How to refer
Gajic, Drazen;
Kaiser, Manfred;
Kern, Wolfgang;
Silva., Helênio.
CUSTOMIZED COAL BLEND OPTIMIZATION REGARDING
COKE QUALITY, COKE OVEN SAFETY AND ECONOMICS
THROUGH ADVANCE PREDICTION MODEL
,
p. 1179-1194.
In: 42º Seminário de Redução de Minério de Ferro e Matérias-primas / 13º Seminário Brasileiro de Minério de Ferro / 6th International Congress on the Science and Technology of Ironmaking,
Rio de Jabeiro,
2012.
ISSN: 2594-357X
, DOI 10.5151/2594-357X-22210
