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Published in:
2013 | OriginalPaper | Chapter
14. Study on Dynamic Prediction of Surplus Gas in Iron-Steel Plant
Authors : Jun Song, An-chao Zhang, Hai-kun Zheng
Published in: Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 3
Publisher: Springer Berlin Heidelberg
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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.