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| Dynamic forecasting and optimal scheduling of by-product gases in integrated iron and steel works |
| Qi Zhang 1 , Hui Li 1 , Jia-lin Ma 1 , Hua-yan Xu 2 , Bo-yang Yu 3 , Gang Wang 4 , Shan Jiang 5 |
| 1 State Environmental Protection Key Laboratory of EcoIndustry, Northeastern University, Shenyang 110819, Liaoning, China 2 State Key Laboratory of Hybrid Process Industry Automation Systems and Equipment Technology, Automation Research and Design Institute of Metallurgical Industry, Beijing 100072, China 3 Software College, Northeastern University, Shenyang 110169, Liaoning, China 4 Shougang Jingtang United Iron & Steel Co., Ltd., Tangshan 063200, Hebei, China 5 China United Engineering Company, Hangzhou 310052, Zhejiang, China |
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Abstract The by-product gases, which are generated in ironmaking, coking and steelmaking processes, can be used as fuel for the metallurgical processes and on-site power plants. However, if the supply and demand of by-product gases are imbalanced, gas flaring may occur, leading to energy wastage and environmental pollution. Therefore, optimal scheduling of by-product gases is important in iron and steel works. A BP_LSSVM model, which combines back-propagation (BP) neural network and least squares support vector machine (LSSVM), and an improved mixed integer linear programming model were proposed to forecast the surplus gases and allocate them optimally. To maximize energy utilization, the stability of gas holders and boilers was considered and a concise heuristic procedure was proposed to assign penalties for boilers and gas holders. Moreover, the optimal level of gas holder was studied to enhance the stability of the gas system. Compared to the manual operation, the optimal results showed that the electricity generated by the power plant increased by 2.93% in normal condition and by 22.2% in overhaul condition. The proposed model minimizes the total cost by optimizing the boiler load with less adjustment frequency and the stability of gas holders and can be used as a guidance in dynamic forecasting and optimal scheduling of by-product gases in integrated iron and steel works.
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| Cite this article: |
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Qi Zhang,Hui Li,Jia-lin Ma, et al. Dynamic forecasting and optimal scheduling of by-product gases in integrated iron and steel works[J]. Journal of Iron and Steel Research International, 2019, 26(5): 529-546.
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2019, Vol. 26 
