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[1] Lu Biao, Chen Guang, Chen Demin, Yu Weiping, et al. Impact of material and energy flow variation-basediron/steel ratio on production cost [J]. Journal of Southeast University (English Edition), 2015, 31 (3): 375-379. [doi:10.3969/j.issn.1003-7985.2015.03.013]
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Impact of material and energy flow variation-basediron/steel ratio on production cost()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
31
Issue:
2015 3
Page:
375-379
Research Field:
Energy and Power Engineering
Publishing date:
2015-09-20

Info

Title:
Impact of material and energy flow variation-basediron/steel ratio on production cost
Author(s):
Lu Biao1 Chen Guang2 Chen Demin2 Yu Weiping1 Ding Yi3
1School of Energy and Environment, Southeast University, Nanjing 210096, China
2School of Civil Engineering, Anhui University of Technology, Ma’anshan 243032, China
3Ma’anshan Iron & Steel Co. Ltd., Ma’anshan 243000, China
Keywords:
iron/steel ratio material flow energy flow model of production cost steel scrap threshold price
PACS:
TK-9
DOI:
10.3969/j.issn.1003-7985.2015.03.013
Abstract:
This paper establishes a model for the production cost of iron and steel enterprise. The variation rule of the production cost versus the iron/steel ratio for two cases, namely, fixed steel production and a fixed amount of molten iron, is analyzed, and the concept of a steel scrap threshold price is proposed. According to the analysis results, when the steel scrap unit price exceeds the steel scrap threshold price, an increase in the iron/steel ratio can reduce the production cost, and vice versa. When the gap between the steel scrap unit price and the steel scrap threshold price is relatively large, the impact of the iron/steel ratio on the production cost is more prominent. According to the calculation example, when steel production is fixed(284 358 t/month)and the steel scrap unit price is 263.2 yuan/t more than the steel scrap threshold price, an increase of 0.01 in the iron/steel ratio causes a monthly production cost reduction of approximately 750 000 yuan(2.63 yuan/t). When the amount of molten iron is fixed(270 425 t/month)and the steel scrap unit price is 140.7 yuan/t more than the threshold price, an increase of 0.01 in the iron/steel ratio causes a monthly production cost reduction of approximately 430 000 yuan(1.5 yuan/t). The results indicate that iron and steel enterprise should adjust the production strategy in time when the scrap price fluctuates, and then the production cost will be reduced.

References:

[1] Yin R Y. Comment on behavior of energy flow and construction of energy network for steel manufacturing process[J]. Iron & Steel, 2010, 45(4):1-5.(in Chinese)
[2] Li H F, Cang D Q, Wen Y M. Analysis of present and future prospects for Chinese iron and steel industry energy conservation[J]. Energy for Metallurgical Industry, 2011, 30(4):3-7.(in Chinese)
[3] Matsuda K, Tanaka S, Endou M, et al. Energy saving study on a large steel plant by total site based pinch technology[J].Applied Thermal Engineering, 2012, 43(5):14-19.
[4] Lu S M, Lu C, Tseng K T, et al. Energy-saving potential of the industrial sector of Taiwan[J].Renewable and Sustainable Energy Reviews, 2013, 21(5):674-683.
[5] Yin Z J, Zhu R, Liu G, et al. Research on energy saving of Chinese steel industry based on energy structure scale[J]. Mining and Metallurgy, 2009, 18(1):49-52.(in Chinese)
[6] Lu Z W, Cai J J. The foundations of systems energy conservation[M]. Shengyang: Northeastern University Press, 2010:32-42.(in Chinese)
[7] Huang B F, Tian N Y, Xu A J, et al. Paths to reduction of iron to steel of 100 t converter[J]. Steelmaking, 2008, 24(6):44-46.(in Chinese)
[8] Lu Z W. A study on the steel scrap resources for steel industry[J]. Acta Metallurgica Sinica, 2000, 36(7):728-734.(in Chinese)
[9] Lu Z W. On steel scrap resources for steel industry[J].Iron & Steel, 2002, 37(4):66-70.(in Chinese)
[10] Oda J, Akimoto K, Tomoda T. Long-term global availability of steel scrap[J].Resources Conservation and Recycling, 2013, 81(6):81-91.
[11] Wübbeke J, Heroth T. Challenges and political solutions for steel recycling in China[J]. Resources Conservation and Recycling, 2014, 87(6):1-7.
[12] Chen G, Gu M Y. Predicting process energy consumption by using neural networks[J]. Journal of Xi’an Jiaotong University, 2001, 35(12):1319-1320.(in Chinese)

Memo

Memo:
Biographies: Lu Biao(1979—), male, graduate; Yu Weiping(corresponding author), male, doctor, professor, wpyu@seu.edu.cn.
Foundation item: The National Key Technology R&D Program during the 12th Five-Year Plan Period(No.2012BAF10B05).
Citation: Lu Biao, Chen Guang, Chen Demin, et al. Impact of material and energy flow variation-based iron/steel ratio on production cost[J].Journal of Southeast University(English Edition), 2015, 31(3):375-379.[doi:10.3969/j.issn.1003-7985.2015.03.013]
Last Update: 2015-09-20