| 循环流化床锅炉石灰石控制研究 | |
| 高明明 ; 岳光溪 ; 雷秀坚 ; 刘吉臻 ; 张文广 ; 陈峰 ; GAO Mingming ; YUE Guangxi ; LEI Xiujian ; LIU Jizhen ; ZHANG Wenguang ; CHEN Feng | |
| 2016-03-30 ; 2016-03-30 | |
| 关键词 | 超临界CFB锅炉 状态监测 SO2 活性石灰石 TK229.66 |
| 其他题名 | Research on Limestone Control of Circulating Fluidized Bed Boiler |
| 中文摘要 | 针对循环流化床(CFB)锅炉在燃烧过程中脱硫的滞后性和不稳定性,构造了一种CFB锅炉特有的"活性石灰石"状态监测模型,提出一种基于"活性石灰石"平衡的n(Ca)/n(S)优化配比方法,基于计算给煤量、送风量和炉内活性石灰石质量构造了SO2质量浓度预测模型,并利用600MW超临界CFB锅炉的实际运行数据进行了仿真实验.结果表明:仿真计算结果验证了所构造模型的有效性,基于该模型优化的n(Ca)/n(S)提高了SO2质量浓度的稳定性.; For the instable and time delay process of in-furnace desulfurization in circulating fluidized bed(CFB)boiler,a specific "active limestone" state monitoring model was set up to simulate the desulfurization process,while a method for optimization of the n(Ca)/n(S)was suggested according to the balance of "active limestone",and simultaneously a SO2 emission prediction model was proposed based on the coal feed rate,air flow rate and in-furnace active limestone mass,with which simulation tests were carried out to a 600 MW supercritical CFB boiler using actual operation data.Simulation results prove the prediction model to be effective,and the optimization of n(Ca)/n(S)based on the model helps to improve the stability of SO2 emission. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/144983]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 高明明,岳光溪,雷秀坚,等. 循环流化床锅炉石灰石控制研究[J],2016, 2016. |
| APA | 高明明.,岳光溪.,雷秀坚.,刘吉臻.,张文广.,...&CHEN Feng.(2016).循环流化床锅炉石灰石控制研究.. |
| MLA | 高明明,et al."循环流化床锅炉石灰石控制研究".(2016). |
| 个性服务 |
| 查看访问统计 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论