Forecasting of industrial coke quality at JSC EVRAZ NTMK based on data of passive industrial experiment. Report 1. Forecasting of CSR and CRI of industrial coke

A forecast of coke quality takes a special place in the coke production, since it enables to increase efficiency of management of batching process of various by composition and properties coals and production of coke of stably high and required quality with minimal costs. Description of a methodological approach to processing of passive industrial experiment data of blends coking at Coke production department of JSC EVRAZ NTMK presented by application selective (general) matrix. The matrix accounts various multilevel values of influence factor CSR and CRI of coke - a complex index of coking ability of blends K.п.к.Vo. It was shown that the proposed approach provides wide variations of response function (CSR/CRI) at symmetrical enough matrix, excluding predominance of any particular area of values of indices K.п.к.Vo and CSR/CRI. By applying the passive industrial experiment, based on processing of actual report data of industrial blends coking at the coke batteries No. 5-6 (wet quenching) and No. 9-10 (dry quenching) by selective matrix, mathematical models of forecast of quality of industrial coke by wet and dry quenching (CSR/CRI) were elaborated depending on coal charges properties (K.п.к.Vo) at the existing modes of their preparation and coking at the coke batteries No. 5-6 and 9-10. Verification of accuracy of the mathematical models of coke quality forecast at wet and dry quenching (CSR/CRI) processing a large actual material of industrial coking (62 coking operations in the coke batteries No. 5-6 and 58 coking operations in the coke batteries No. 9-10 showed accuracy good enough for practical application of forecasting indices CSR and CRI of industrial coke of wet and dry quenching.

Application of the method determining the pressure of the spreading coal and blends, as a method of extending the life of coke oven batteries

The analysis the state of coke batteries was carried out, with the help of which the main types of masonry wear the coke oven heating walls were established. The dynamics and nature of the damage suggest that for batteries with a long service life an individual approach is needed, both in the choice of the technological mode and in the selection of the raw material base coking, taking into account the pressure magnitude of coking blend. Since, in the process of coking coal blends, one the external manifestations of this process is a development of pressure expansion to the walls of coke oven chambers, when calculating the strength of coke ovens, the pressure of 7 kPa is taken as the critical pressure expansion. Exceeding this value leads to an increase in amperage and drilling of furnaces during the coke delivery of, premature wear of the refractory masonry, which requires more frequent repairs, and in extreme cases, deformation the walls of coking chambers. Therefore, coal blend, it is necessary to compile, taking into account not only the production of coke with the necessary mechanical strength, but also ensuring a bursting pressure not exceeding the standard value. To do this, in a laboratory setting to determine the pressure expansion, it is necessary to classify the incoming coal concentrates according to the indicator of pressure expansion, in order to compile blends with a safe value of pressure expansion.

MANAGEMENT OF NITROGEN OXIDE EMISSIONS AS A FACTOR OF REDUCING THE LEVEL OF CONTAMINATION AND INCREASING THE SAFETY OF HUMAN LIFE

The issues related to the reduction of the level of pollution and the increase in the safety of human life through the control of the operation of coke batteries used in heavy industry are investigated. Data on sources of emissions of harmful substances, including nitrogen oxides, are presented. Different modes of operation of coke batteries are analyzed and mathematical models are obtained, which allow choosing rational operating regimes based on the criterion for minimizing emissions of nitrogen oxides.