Research on Energy Consumption Analysis Method Based on Improved Fuzzy Analytic Hierarchy Process (FAHP) in Iron and Steel Industry

Abstract:

The relations between production process and energy consumption are made an in-depth application analysis and theory study with theory of systematic energy-saving , technique of intelligence analysis and optimization based on the background of study on energy-saving and reduce energy consumption. Making intensive research on theories of systematic energy-saving and analyzed with function mechanism and quantitative relation of the main production system, auxiliary production system and energy conversion system. It put forward the energy flow direction and energy consumption in each production process and the influence of material flow on energy consumption in iron and steel industry. The sequence of all kinds of material influence comprehensive energy consumption per ton steel and energy quantitative target of all factors influence energy consumption are worked out with improved fuzzy AHP(Analytic Hierarchy Process) which study of comprehensive energy consumption in typical iron and steel production process from the point of system. It has great immediate significance to guide drawing the scientific plan of economy-saving and reduce energy consumption in iron and steel industry

• Periodical: Advanced Materials Research (Volumes 490-495)
• Pages: 2396-2399
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.490-495.2396
• Online since: March 2012
• Authors: Dong Qiu, Xiao Bo Wang, Ying Ying Fu
• Keywords: Analysis Hierarchy Process (AHP), Analysis Methods, Energy Consumption (EC), Fuzzy

References

[1] Saaty TL. Modeling unstructured decision problems-the theory of analytical hierarchies [J]. Math Comput Simulation, 2008, 20: 147-158.

DOI: 10.1016/0378-4754(78)90064-2

[2] Broohnlead D S，Lowe D. Multivaribale funetional interpolationan adaptive networks. Complex Systems2008: 321-355.

[3] Powell MJD. Radial basis funetions for multivariable interpolation: a functions and data. RMCS，Shrivenham UK，2005: 143-167.

[4] Light W A. Some aspeets of radial basis function approximation. In: Approximation Theory，SPline Functions And APPlieations，NATO ASI Series. Boston: Klwuer Aeademie Publishers，2002，(256): 163-190.

DOI: 10.1007/978-94-011-2634-2_8