高爐休風時供氧管網壓力對氧氣調度的影響

張培昆; 王立

doi:10.13374/j.issn2095-9389.2017.02.017

高爐休風時供氧管網壓力對氧氣調度的影響

doi: 10.13374/j.issn2095-9389.2017.02.017

張培昆^1,2,
王立^1,2, ,

1) 北京科技大學能源與環境工程學院, 北京 100083
2) 北京市高等學校節能與環保工程研究中心, 北京 100083

基金項目:

國家自然科學基金資助項目（51306015）；高等學校博士學科點專項科研基金資助項目（20130006120015）

詳細信息

中圖分類號: TF724.4
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- 被引次數: 0
出版歷程
- 收稿日期: 2016-05-29

Effects of oxygen pipe-network pressure on the oxygen scheduling during blast furnace blow-down

ZHANG Pei-kun^1,2,
WANG Li^{1,2
, ,}

1) School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
2) Beijing Engineering Research Center for Energy Saving and Environmental Protection, University of Science and Technology Beijing, Beijing 100083, China

摘要

摘要: 以國內某大型鋼鐵企業空分廠為研究對象，基于混合整數線性規劃方法建立以氧氣放散量最小為目標的生產調度模型，并在此基礎上以高爐休風期間的氧氣生產調度為案例，分析了高爐開始休風期間管網初始壓力對氧氣放散率的影響.高壓管網初始壓力大于臨界值時，系統出現氧氣放散，放散率隨初始壓力上升呈近線性增大關系，高壓管網緩沖容量越大，該線性關系斜率越大.有氧氣放散的情況下，對于同一高壓管網初始壓力，高壓管網緩沖容量越大，系統放散率越小.該趨勢隨著高壓管網初始壓力增大變得越來越不明顯，當初始壓力等于最高壓力時，高壓管網緩沖容量的大小對放散率沒有影響.
- 鋼鐵冶金 /
- 空分裝置 /
- 氧氣調度 /
- 放散率 /
- 混合整數規劃
Abstract: To study the scheduling problem in the captive oxygen plant of a large-scale integrated steel mill, a mixed integer linear program (MILP) model was developed to minimize the oxygen emission. On the basic of the model, the oxygen production scheduling during blast furnace (BF) blow-down was studied as a case, and the effect of initial pipe network pressure (at the beginning of the BF blow down) on the oxygen emission ratio was analyzed. The system presents the oxygen emission when the initial pipe network pressure is larger than a critical value. The oxygen emission ratio increases with the increase of initial pressure in an approximately linear relationship, and the larger the buffer capacity of the high-pressure pipe network, the bigger the slope of this linear relationship. When there is the oxygen emission and for the same initial pressure of high-pressure pipe network, the bigger the buffer capacity of high-pressure pipe network, the smaller the oxygen emission ratio. This relationship tends to become inconspicuous as the initial pressure increasing, when the initial pressure is equal to the maximum allowed pressure, the oxygen emission ratio is unaffected by the buffer capacity of the high-pressure pipe network.
- iron and steel Metallurgy /
- air separation unit /
- oxygen scheduling /
- emission ratio /
- mixed integer programming

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參考文獻(15)

[2]	Fu Q, Kansha Y, Song C F, et al. A cryogenic air separation process based on self-heat recuperation for oxy-combustion plants. Appl Energy, 2016, 162:1114
[3]	Xu Z H, Zhao J, Chen X, et al. Automatic load change system of cryogenic air separation process. Sep Purif Technol, 2011, 81(3):451
[4]	Manenti F, Manca D. Transients modelling for enterprise-wide optimization:Generalized framework and industrial case study. Chem Eng Res Des, 2009, 87(8):1028
[5]	Manenti F, Rovaglio M. Operational planning in the management of programmed maintenances-a MILP approach//Proceedings of the 8th IFAC Symposium on Dynamics and Control of Process Systems. Cancún, 2007:279
[6]	Glankwamdee W, Linderoth J, Shen J R, et al. Combining optimization and simulation for strategic and operational industrial gas production and distribution. Comput Chem Eng, 2008, 32(11):2536
[7]	Mitra S, Grossmann I E, Pinto J M, et al. Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes. Comput Chem Eng, 2012, 38:171
[8]	Manenti F, Bozzano G, D'Isanto M, et al. Raising the decision-making level to improve the enterprise-wide production flexibility. AIChE J, 2013, 59(5):1588
[9]	Manenti F, Rovaglio M. Market-driven operational optimization of industrial gas supply chains. Comput Chem Eng, 2013, 56:128
[10]	Mitra S, Pinto J M, Grossmann I E. Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty:Part I. Modelling. Comput Chem Eng, 2014, 65:89
[11]	Mitra S, Pinto J M, Grossmann I E. Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty:Part Ⅱ. Enhanced hybrid bi-level decomposition. Comput Chem Eng, 2014, 65:102
[12]	Marchetti P A, Gupta V, Grossmann I E, et al. Simultaneous production and distribution of industrial gas supply-chains. Comput Chem Eng, 2014, 69:39
[13]	Rossi F, Manenti F, Reklaitis G. A general modular framework for the integrated optimal management of an industrial gases supply-chain and its production systems. Comput Chem Eng, 2015, 82:84
[14]	Zhang Q, Sundaramoorthy A, Grossmann I E, et al. A discrete-time scheduling model for continuous power-intensive process networks with various power contracts. Comput Chem Eng, 2016, 84:382
[22]	Zhu Y, Legg S, Laird C D. A multiperiod nonlinear programming approach for operation of air separation plants with variable power pricing. AIChE J, 2011, 57(9):2421
[23]	Li Y L, Wang X, Ding Y L. A cryogen-based peak-shaving technology:systematic approach and techno-economic analysis. Int J Energy Res, 2013, 37(6):547