Journal
ENERGY
Volume 217, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.119419
Keywords
Coal; Metallurgical coke; Coking and combustion chambers; Modeling; Simulation And optimization
Categories
Funding
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
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Metallurgical coke, a fuel and raw material for iron and steel industries, is obtained from coal. However, only 15% of global coal reserves have the necessary properties for metallurgical coke, making it expensive. Developing a rigorous model of the coke oven process is important for optimizing energy consumption and reducing fuel consumption, with potential efficiency improvements in the worldwide steel industry.
Metallurgical coke is obtained from coal and is a fuel and raw material for the iron and steel industries. However, only 15% of the world's coal reserves have the required properties for metallurgical coke, which makes the useful coal expensive. Transforming coal into metallurgical coke is an energy-intensive endeavor, and global competition requires worldwide steelmakers to be more efficient in terms of energy consumption, therefore the optimization of the coke production process has become increasingly decisive. The objective of this study was to develop a rigorous model of the coke oven process by separately considering the coke oven, combustion chamber, and regenerative bed. In this study, the coke oven was divided into zones according to the number of available temperature measurements in each combustion chamber. The developed model using Aspen PlusTM was used primarily to obtain a more uniform combustion chamber temperature profile and to investigate the effect of the combustion chamber temperature profile on the fuel consumption. The results were validated from the plant data for temperature, flowrate, and composition. A new set of operating conditions was implemented, and the consumption of coke oven gas was reduced by approximately 12%. (C) 2020 Elsevier Ltd. All rights reserved.
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