Abstract
Byproduct gases generated during the iron and steel making process are important energy sources in steel plant, which accounted for 30% of total energy consumption. With the increasing need for production cost control in steel industry, the refined management of byproduct gases has become prominent. The prediction and optimal scheduling of byproduct gases are two key factors in the optimal management of byproduct gases. However, due to the complexity and dispersivity of byproduct gas generation and consumption, it is difficult to build a comprehensive and reasonable prediction and scheduling model. This paper reviews current methods in the prediction and scheduling of byproduct gas system and discusses some of the key factors and opportunities in improving the model. Emerging trends that are likely to influence the current or future byproduct gas prediction and scheduling are also discussed.
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The authors gratefully acknowledge the financial support from the research funds for State Key Laboratory of Advanced Metallurgy of China [41603006].
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Zhao, X., Bai, H., Shi, Q., Guo, Z. (2017). Prediction and Optimal Scheduling of Byproduct Gases in Steel Mill: Trends and Challenges. In: Liu, X., et al. Energy Materials 2017. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-319-52333-0_4
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DOI: https://doi.org/10.1007/978-3-319-52333-0_4
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