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A fast operable capacity assessment and real-time optimization method for byproduct gas system of steel industry
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DOI：10.1016/j.jprocont.2026.103705.png)
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Abstract
En 中文
Real-time optimization (RTO) on how to allocate the byproduct gas on-line is directly related to production smooth and economic interest for the steel industry. While the operable capacity tends to be commonly changed owing to its dynamic characteristics, leading to a great impact on the RTO. To tackle this problem, a novel closedloop mechanism including operable capacity assessment and RTO is proposed in this study. Based on a byproduct gas network model using compact linear equations, a fast operable capacity assessment method is designed, which deploys a hyperplane moving technique and an improved Quickhull algorithm to considerably reduce the computational cost. Then, taking the determined operable capacity as constraints, a mathematical programmingbased RTO model is constructed to provide detailed instructions for the byproduct gas system. The following experiments using real-world data are conducted by comparing with other commonly deployed approaches, so as to demonstrate the superiority of the proposed method.
Keywords:
Byproduct gas system
Industrial application
Operable capacity
Real-time optimization
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