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| 黄台电厂PM型燃烧器结构优化研究及应用 | |
| 引用本文： | 黄新元,刘长振,宋行强,孙奉仲,刘志超,刘兆龙,徐华波.黄台电厂PM型燃烧器结构优化研究及应用[J].中国电力,2004,37(7):44-46. |
| 作者姓名： | 黄新元 刘长振 宋行强 孙奉仲 刘志超 刘兆龙 徐华波 |
| 作者单位： | 1. 山东大学,山东,济南,250061 2. 山东电力研究院,山东,济南,250001 3. 山东黄台发电厂,山东,济南,250100 |
| 摘 要： | 在对黄台电厂7号炉PM型燃烧器浓淡分离弯头结构进行模化实验研究的基础上。对弯头分离部件进行优化，确定了PM型燃烧器的较佳结构尺寸，使浓淡2部分浓度和流量分配更合理。经燃烧器改造，取得了大幅度降低锅炉最低稳燃负荷的显著效果。 |
| 关 键 词： | 黄台电厂 锅炉 PM型 燃烧器 结构优化 浓缩器 |
| 文章编号： | 1004-9649(2004)07-0044-03 |
| 修稿时间： | 2003年6月10日 |
Study on the optimum configuration of PM type burner and its application in Huangtai Power Plant |
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| HUANG Xin-yuan,LIU Chang-zhen,SONG Xing-qiang,SUN Feng-zhong,LIU Zhi-chao LIU Zhao-long,XU Hua-bo Shandong University,Jinan ,China, Shandong Electrical Power Research Institute,Jinan ,China, Huangtai Power Plant,Jinan ,China.Study on the optimum configuration of PM type burner and its application in Huangtai Power Plant[J].Electric Power,2004,37(7):44-46. | |
| Authors: | HUANG Xin-yuan LIU Chang-zhen SONG Xing-qiang SUN Feng-zhong LIU Zhi-chao LIU Zhao-long XU Hua-bo Shandong University Jinan China Shandong Electrical Power Research Institute Jinan China Huangtai Power Plant Jinan China |
| Affiliation: | HUANG Xin-yuan,LIU Chang-zhen,SONG Xing-qiang,SUN Feng-zhong,LIU Zhi-chao LIU Zhao-long,XU Hua-bo Shandong University,Jinan 250061,China, Shandong Electrical Power Research Institute,Jinan 250001,China, Huangtai Power Plant,Jinan 250100,China |
| Abstract: | On the basis of the modelling experiment and study on the air-coal separating bend configuration of PM type burner of No.7 boiler in Huangtai Power Plant, the separating parts of bend were optimized and the better configuration size of PM type burner was determined so as to make the concentration and flow rate distribution of thick and thin parts more rational. A signigicant decrease in the lowest steady load of No.7 boiler in Huangtai Power Plant has been obtained since the PM type burners were adopted. |
| Keywords: | steady low load combustion air-coal separating burner configuration optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
