孙景丹;杜新伟;李哲;
SUN Jingdan;DU Xinwei;LI Zhe;College of Mines Engineering,Heilongjiang University of Science and Technology;

• 1:黑龙江科技大学矿业工程学院

摘要(Abstract)：

以鸡西地区3种原煤为试验对象进行浮沉试验,结果表明:当特征灰分为11%时,主焦煤为难选煤,1/3焦煤为中等可选煤,肥煤为极难选煤。基于各煤样单独洗选后的煤质指标,以炼焦煤煤质要求和3种精煤煤质指标为约束条件,以配煤成本最低为目标函数,建立线性规划数学模型,得到成本最低时3种煤的最佳配比为:18%主焦煤,32%1/3焦煤,50%肥煤。将煤样按上述比例混合后进行浮沉试验,并对洗选后的混煤进行煤质分析,结果表明:当特征灰分为11%时,配煤为较难选煤,明显改善了煤的可选性;配煤洗选后各煤质指标的实际值与理论值相差较小,无显著性差异,且精煤各项指标均符合炼焦煤煤质要求。因此采用线性规划法进行配煤入选可行,对炼焦煤选煤厂具有一定的借鉴意义。
Conduct float-and-sink analysis on three types of coal selected from Jixi. The results shows that,the coking coal is difficult separation coal,the 1 /3 coking coal is medium optional coal,the rich coal is extremely difficult separation coal when the ash-feature is 11percent. Based on indicators of each coal samples after washing,the quality requirement of coking coal and indicators of three kinds of coal as constraints,the cost coal as the objective function,obtain a linear programming model and the best ratio is 18 percent coking coal,32percent of the 1 /3 coking coal,50 percent of rich coal. Conduct float-and-sink analysis and the quality analysis after washed with mixed coals above. The results show that,the blending coal is medium optional coal when the ash-feature is 11 percent,and coal washability is significantly improved. Between the actual value and the theoretical value of each coal index after washing,there are no significant difference,while the indicators of refined coal are in line with coal quality requirements of coking coal. Therefore,the use of linear programming for washing mixed coal is feasible,and has a certain significance for coking coal preparation plant.

关键词(KeyWords)： 配煤入选;线性规划;配比计算;浮沉试验;炼焦煤;煤质指标
coal blending washing;linear programming;ratio calculation;float-and-sink;coking coal;coal quality index

Abstract:

Keywords:

基金项目(Foundation): 黑龙江省科技计划资助项目(科技攻关)(GZ11A402);; 黑龙江省应用技术研究与开发计划资助项目(GC13A112)

作者(Authors): 孙景丹;杜新伟;李哲;
SUN Jingdan;DU Xinwei;LI Zhe;College of Mines Engineering,Heilongjiang University of Science and Technology;

DOI: 10.13226/j.issn.1006-6772.2014.02.001

参考文献(References)：

• [1]庄金生.我国选煤技术现状与发展趋势[J].现代营销:学苑版,2012(8):261.
• [2]杨丽.中国煤炭科技发展现状及展望[J].洁净煤技术,2012,18(3):1-3,32.
• [3]刘炯天.关于我国煤炭能源低碳发展的思考[J].中国矿业大学学报:社会科学版,2011(1):5-12.
• [4]彭陈辉.无烟煤配煤炼焦试验研究[J].煤化工,2005(6):47-50,53.
• [5]陈文敏.洁净煤技术基础[M].北京:煤炭工业出版社,1997:12-20.
• [6]姚昭章.炼焦学[M].3版.北京:冶金工业出版社,2005:67-69.
• [7]卢凤莉,杨国要,王林缝,等.原煤混配洗选与炼焦的工业实践[J].河南冶金,2006,14(3):25-26.
• [8]张振勇,李文华,徐振刚,等.煤的配合加工与利用[M].徐州:中国矿业大学出版社,2002:99-100.
• [9]赵龙.贾倩.选煤厂配煤入选的实践[J].洁净煤技术,2009,15(5):25-26,41.
• [10]刘建知.利用Excel求解线性规划问题[J].湖南农业大学学报:自然科学版,2005,31(5):562-564.
• [11]陈晓玲.配煤线性规划模型的研究[J].煤炭加工与综合利用,2003(2):34-38.
• [12]GB/T 212—2008,煤的工业分析方法[S].
• [13]GB/T 478—2008,煤炭浮沉试验方法[S].
• [14]徐四海,刘建军.持续改进配煤技术有效控制配煤成本[J].广东化工,2009,36(7):314-315,323.
• [15]薛改凤,项茹,陈鹏,等.炼焦煤质量指标评价体系的研究[J].武汉科技大学学报,2009,32(1):36-40.
• [16]张千宗.线性规划[M].武汉:武汉大学出版社,2004.
• [17]邹进,吴杰,朱彤.煤中全水分的测定[J].洁净煤技术,2013,19(5):120-122.

文章评论(Comment)：