Study on Dynamic Prediction of Surplus Gas in Iron-Steel Plant

  • Jun Song
  • An-chao Zhang
  • Hai-kun Zheng
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 225)


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.


Iron-steel plant Dynamic prediction Gas system Simulation 



Fluid Machinery and Engineering (No.507907), Characteristic professional (508057), Key disciplines (509927).


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Henan Polytechnic UniversityJiaozuoChina

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