600 MW机组锅炉掺烧劣质煤技术经济性研究
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摘要
为了减少炉膛结渣,优化劣质煤掺烧和提高电厂收益,通过劣质煤掺烧比例、磨煤机组合方式、炉膛火焰温度、还原气体分布、SO_2质量浓度、结渣行为等现场试验,研究了600 MW亚临界机组锅炉掺烧劣质煤技术经济性。结果表明:机组可采用3台磨煤机掺烧中高硫分煤的方式安全运行,最大掺烧比例为37%,锅炉未出现明显的结渣现象;在最大掺烧比例时,烟气SO_2质量浓度明显上升,但脱硫系统仍有较大裕度;经济性评价表明尽管掺烧小幅增加了供电煤耗,但劣质煤价格低廉使发电成本明显降低。现场试验和经济性评价方面的研究,为同类型机组优化掺烧劣质煤提供了思路和参考。
In order to reduce furnace slagging, optimize the blending of inferior coal and increase power plant profit, technical and economic investigation of blended combustion with inferior coal on 600 mw unit boiler was processed through on-site tests, such as the blending ratio of low-grade coal, pulverizer combination, furnace flame temperature, reducing gas distribution, sulfur dioxide concentration, slagging behavior, etc. The results show that the unit can safely operate with three coal mills blended with high-sulfur coal, he maximum mixing ratio is 37%, and there is no obvious slagging in the boiler furnace; at the maximum blending ratio, the sulfur dioxide concentration in flue gas increases significantly, but the desulfurization system still has a large margin; the economic evaluation shows that the low price of low-grade coal reduces the cost of power generation significantly, although the blending slightly increases the net coal consumption rate. The on-site tests and economic evaluations provide ways and references for the optimization of the blending inferior coal for the same type units.
In order to reduce furnace slagging, optimize the blending of inferior coal and increase power plant profit, technical and economic investigation of blended combustion with inferior coal on 600 mw unit boiler was processed through on-site tests, such as the blending ratio of low-grade coal, pulverizer combination, furnace flame temperature, reducing gas distribution, sulfur dioxide concentration, slagging behavior, etc. The results show that the unit can safely operate with three coal mills blended with high-sulfur coal, he maximum mixing ratio is 37%, and there is no obvious slagging in the boiler furnace; at the maximum blending ratio, the sulfur dioxide concentration in flue gas increases significantly, but the desulfurization system still has a large margin; the economic evaluation shows that the low price of low-grade coal reduces the cost of power generation significantly, although the blending slightly increases the net coal consumption rate. The on-site tests and economic evaluations provide ways and references for the optimization of the blending inferior coal for the same type units.
引文
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[18]夏季,彭鹏,华志刚,等.燃煤电厂分磨掺烧方式下磨煤机组合优化模型及应用[J].中国电机工程学报, 2011, 31(29):1–8.XIA Ji, PENG Peng, HUA Zhigang. Optimization of pulverizers combination for power plant based on blended coal combustion[J].Proceedings of the CSEE, 2011, 31(29):1–8.
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[20]陈晓梅,马晓茜.基于改进BP神经网络的锅炉结渣预测模型[J].华东电力, 2005, 33(7):42–45.CHEN Xiaomei, MA Xiaoqian. Prediction models of boiler slagging based on improved BP neural network[J]. East China Electric Power,2005, 33(7):42–45.
[21]HAAS J, TAMURA M, WEBER R. Characterisation of coal blends for pulverised fuel combustion[J]. Fuel, 2001, 80(9):1317–1323.
[22]BISWAS S, CHOUDHURY N, SARKAR P,et al. Studies on the combustion behaviour of blends of Indian coals by TGA and drop tube furnace[J]. Fuel Processing Technology, 2006, 87(3):191–199.
[23]李皓宇,朱宪然,刘彦鹏,等.电厂配煤掺烧最优掺烧比例确定算法[J].能源科技, 2017, 4(5):18–20.LI Haoyu, ZHU Xianran, LIU Yanpeng, et al. Algorithm of optimal coal blended mixture ratio determination in power plant[J]. Energy Science and Technology, 2017, 4(5):18–20.
[2]孙志宏,柳晓,束文亮,等.燃煤掺配掺烧技术探讨[J].华电技术,2008, 30(8):27–29.SUN Zhihong, LIU Xiao, SHU Wenliang, et al. Approach to blended coal combustion Technology[J]. Huadian Technology, 2008, 30(8):27 –29.
[3]刘志东.大型锅炉非设计煤种掺烧最佳方案[J].湖北电力, 2008,32 (4):69–71.LIU Zhidong. The optimal scheme of blended non-designed coals for large boiler[J]. Hubei Electric Power, 2008, 32(4):69–71.
[4]孙石,于雷.电站锅炉掺烧非设计煤种经济性分析方法研究[J].长春工程学院学报(自然科学版), 2010, 11(3):141–143.SUN Shi, YU Lei. The study of economy analysis method of mixing combustion with no design coal of utility boiler[J]. Journal of Changchun Institute of Technology(Natural Science Edition), 2010,11 (3):141–143.
[5]朱光明,段学农,康黄辉,等.仓储式制粉系统锅炉混煤掺烧方式优化试验研究[J].中国电力, 2008, 41(11):33–37.ZHU Guangming, DUAN Xuenong, KANG Huanghui,et al.Optimization experiment research on coal-belended combustion for the boiler with inter-bin coal pulverizing system[J]. Electric Power,2008, 41(11):33–37.
[6]段学农,朱光明,焦庆丰,等.电厂锅炉混煤掺烧技术研究与实践[J].中国电力, 2008, 41(6):51–54.DUAN Xuenong, ZHU Guangming, JIAO Qingfeng, et al. Research and practice of blended coal combustion technology in power plant boiler[J]. Electric Power, 2008, 41(6):51–54.
[7]MOON C, SUNG Y, AHN S, et al. Thermochemical and combustion behaviors of coals of different ranks and their blends for pulverizedcoal combustion[J].Applied Thermal Engineering, 2013, 54(1):111 –119.
[8]SAHU S G, MUKHERJEE A, KUMAR M,et al. Evaluation of combustion behaviour of coal blends for use in pulverized coal injection(PCI)[J].Applied Thermal Engineering, 2014, 73(1):1014–1021.
[9]KUROSE R, IKEDA M, MAKINO H,et al. Pulverized coal combustion characteristics of high-fuel-ratio coals[J].Fuel, 2004,83 (13):1777–1785.
[10]李新堂.火电厂经济煤掺烧安全经济性探讨[J].山东电力技术,2013(1):76–80.LI Xintang. Research on combustion safety and economy when firing low heat value coal in power plant[J]. Shandong Electric Power,2013(1):76–80.
[11]李永华,凌杰,康健悦.燃煤电厂配煤掺烧试验研究[J].湖北电力,2011, 35(5):44–45.LI Yonghua, LING Jie, KANG Jianyue. Experimental research on unit coal blend co-firing of coal fired power plant[J]. Hubei Electric Power, 2011, 35(5):44–45.
[12]朱光明,段学农,姚斌,等.直吹式制粉系统“W”型火焰锅炉无烟煤混煤掺烧优化试验研究[J].中国电力, 2009, 42(4):18–21.ZHU Guangming, DUAN Xuenong, YAO Bin, et al. Experimental research on the optimization of blended coal combustion with anthracite for W flame boiler with direct-blow coal pulverizing system[J]. Electric Power, 2009, 42(4):18–21.
[13]GO?I C, HELLE S, GARCIA X,et al. Coal blend combustion:fusibility ranking from mineral matter composition[J].Fuel, 2003,82 (15):2087–2095.
[14]SUAREZ-RUIZ I, HOWER J C, THOMAS G A. Hg and Se capture and fly ash carbons from combustion of complex pulverized feed blends mainly of anthracitic coal rank in Spanish power plants[J].Energy&Fuels, 2007, 21(1):59–70.
[15]国家能源局.电站煤粉锅炉燃煤掺烧技术导则DL/T 1445-2015[S].北京:中国电力出版社, 2015.
[16]周昊,朱洪波,岑可法.基于人工神经网络和遗传算法的火电厂锅炉适时燃烧优化系统[J].动力工程, 2003, 23(5):2665–2669.ZHOU Hao, ZHU Hongbo, CEN Kefa. An on-line boiler operating optimization system based on the neural network and the genetic algorithms[J]. Power Engineering, 2003, 23(5):2665–2669.
[17]段学农,朱光明,宾谊沅,等.湖南省电厂锅炉混煤掺烧技术应用[J].中国电力, 2010, 43(2):48–51.DUAN Xuenong, ZHU Guangming, BIN Yiyuan, et al. Application and development of coal-blended combustion technology in boiler in Hunan power plant[J]. Electric Power, 2010, 43(2):48–51.
[18]夏季,彭鹏,华志刚,等.燃煤电厂分磨掺烧方式下磨煤机组合优化模型及应用[J].中国电机工程学报, 2011, 31(29):1–8.XIA Ji, PENG Peng, HUA Zhigang. Optimization of pulverizers combination for power plant based on blended coal combustion[J].Proceedings of the CSEE, 2011, 31(29):1–8.
[19]陈庆文,马晓茜,刘翱.大型电站锅炉混煤掺烧的NOx排放特性预测与运行优化[J].中国电机工程学报, 2009, 29(23):20–26.CHEN Qingwen, MA Xiaoqian, LIU Ao. Prediction and operation optimization for NOxemission property of large-scale mixed coalfired utility boiler[J]. Proceedings of the CSEE, 2009, 29(23):20–26.
[20]陈晓梅,马晓茜.基于改进BP神经网络的锅炉结渣预测模型[J].华东电力, 2005, 33(7):42–45.CHEN Xiaomei, MA Xiaoqian. Prediction models of boiler slagging based on improved BP neural network[J]. East China Electric Power,2005, 33(7):42–45.
[21]HAAS J, TAMURA M, WEBER R. Characterisation of coal blends for pulverised fuel combustion[J]. Fuel, 2001, 80(9):1317–1323.
[22]BISWAS S, CHOUDHURY N, SARKAR P,et al. Studies on the combustion behaviour of blends of Indian coals by TGA and drop tube furnace[J]. Fuel Processing Technology, 2006, 87(3):191–199.
[23]李皓宇,朱宪然,刘彦鹏,等.电厂配煤掺烧最优掺烧比例确定算法[J].能源科技, 2017, 4(5):18–20.LI Haoyu, ZHU Xianran, LIU Yanpeng, et al. Algorithm of optimal coal blended mixture ratio determination in power plant[J]. Energy Science and Technology, 2017, 4(5):18–20.