Journal of Northeastern University Natural Science ›› 2015, Vol. 36 ›› Issue (8): 1125-1129.DOI: 10.12068/j.issn.1005-3026.2015.08.014

• Materials & Metallurgy • Previous Articles     Next Articles

Supply-Demand Forecast of Byproduct Gas System and Optimized Allocation of Surplus Gas

YANG Jing-hui, CAI Jiu-ju, LIU Jing-yu, SUN Wen-qiang   

  1. SEPK Laboratory of Eco-industry, Northeastern University, Shenyang 110819, China.
  • Received:2014-06-23 Revised:2014-06-23 Online:2015-08-15 Published:2015-08-28
  • Contact: SUN Wen-qiang
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Abstract: According to the practical situation in steel enterprises, the production process is classified into normal and abnormal production. Forecasting models of the gas production /consumption were established. Causal analysis is used for normal production and heuristic demarcate methods matching with self-learning function are used for abnormal production. A gas-allocating model for buffer users was established by using a mathematical programming method. The model can guide the co-operation between gasholders and boilers, and thus reasonably allocate the remained gas and maximize the utilization of the gas according to the characteristics of buffer users. Finally, the model was applied to a steel company, and the results show that gas emission can be successfully eliminated, which achieves the energy-saving production target.

Key words: steel industry, resource use, energy-saving, byproduct gas, heuristic method

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