Abstract
This paper analyzes the advantages and disadvantages of mainstream prediction methods of gas system in iron-steel plant, proposes a set of general forecasting methods based on EMC (energy management center) for China’s gas surplus in the current situation, establish a hybrid model which include the production and consumption mechanism of single device and the simulation of surplus gas. Application results show that: the method is suitable for different types of enterprises in varying construction degrees; model results can meet the data accuracy requirements; prediction analysis can be an early warning of instrument malfunction and system failure, also a scientific basis for buffer equipment purchases, production, and maintenance plan adjustment.
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Fluid Machinery and Engineering (No.507907), Characteristic professional (508057), Key disciplines (509927).
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Song, J., Zhang, Ac., Zheng, Hk. (2013). Study on Dynamic Prediction of Surplus Gas in Iron-Steel Plant. In: Yang, Y., Ma, M. (eds) Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 3. Lecture Notes in Electrical Engineering, vol 225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35470-0_14
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DOI: https://doi.org/10.1007/978-3-642-35470-0_14
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