通过建模优化焦炭电池的炉膛温度

IF 0.4 Q4 ENGINEERING, CHEMICAL

Coke and Chemistry Pub Date : 2024-02-06 DOI:10.3103/S1068364X23701223

M. V. Shishanov, M. S. Luchkin

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引用次数: 0

摘要

采用一维和二维模型来确定焦炭电池内炉膛的加热壁温度如何影响焦炭质量。炉膛的半宽 b 被视为次要因素。焦化的一维和二维热模型可以预测焦炭质量。莫斯科焦炭和煤气厂（Moskoks）的生产数据对结果进行了验证。根据焦炉的一维和二维模型确定了最佳炼焦温度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Optimizing the Chamber Temperature in Coke Batteries by Modeling

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Optimizing the Chamber Temperature in Coke Batteries by Modeling

One- and two-dimensional models are employed to determine how the heating wall temperature of a furnace chamber within a coke battery affects the coke quality. The half-width b of the chamber is considered as a secondary factor. One- and two-dimensional thermal models of coking permit the prediction of coke quality. The results are verified by means of production data for Moscow Coke and Gas Plant (Moskoks). The optimal coking temperatures are determined on the basis of the one- and two-dimensional models of the coke oven.

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来源期刊

Coke and Chemistry ENGINEERING, CHEMICAL-

CiteScore

0.70

自引率

50.00%

发文量

期刊介绍： The journal publishes scientific developments and applications in the field of coal beneficiation and preparation for coking, coking processes, design of coking ovens and equipment, by-product recovery, automation of technological processes, ecology and economics. It also presents indispensable information on the scientific events devoted to thermal rectification, use of smokeless coal as an energy source, and manufacture of different liquid and solid chemical products.