中国电力 ›› 2017, Vol. 50 ›› Issue (9): 129-134.DOI: 10.11930/j.issn.1004-9649.201606172

• 节能与环保 • 上一篇    下一篇

基于贝叶斯网络的脱硫烟尘协同控制集成设计系统

王艺霏   

  1. 中国大唐集团科学技术研究院有限公司 火力发电技术研究所,北京 102206
  • 收稿日期:2017-06-07 出版日期:2017-09-25 发布日期:2017-09-11
  • 作者简介:王艺霏(1986—),女,吉林长春人,硕士,工程师,从事智能算法在火电厂应用研究。E-mail: wangyifei@cdt-kxjs.com

The Integrated Design Technology for Simultaneous Dust Control and Desulfurization System Based on Bayes Network Model

WANG Yifei   

  1. Department of Thermal Power Generation Technology Research, China Datang Corporation Science and Technology Research Institute, Beijing 102206, China
  • Received:2017-06-07 Online:2017-09-25 Published:2017-09-11

摘要: 利用理论和数据分析找到影响脱硫系统协同除尘能力的脱硫系统参数,建立贝叶斯网络模型,并收集大量采用脱硫协同除尘技术机组的脱硫系统设计及运行参数训练模型。该模型量化了不同脱硫参数对烟尘脱除能力的影响程度。研究将该算法模型集成至烟尘协同控制设计系统中,用于指导未来燃煤机组烟尘协同控制改造,解决脱硫系统烟尘协同脱除技术在实际应用中存在的烟尘排放不达标问题。该系统成功应用于大唐集团多台燃煤机组超低排放改造项目中,改造后烟囱入口烟尘排放浓度达到了预期设计目标,实现了烟尘长期稳定达标排放。

关键词: 燃煤机组, 烟尘控制, 脱硫, 集成系统

Abstract: Based on the theoretical and data analysis, this paper finds out the design and operation parameters of the desulfurization system capable of removing the dust simultaneously, then builds up the Bayes Network Model and trains the model with a large number of the design and operation data collected from the units adopting simultaneous dust removal and desulfurization technology. The model quantifies the impacts of desulfurization parameters on dust removal efficiency and is integrated into the design system to conduct future reconstruction for dust simultaneous control, and solve the problem of excessive dust emission in the applications of the desulfurization system with simultaneous dust removal technology in coal fired power plants. The integrated design system has been successfully used in several coal fired power plant of China Datang Corporation. After reconstruction, the dust emissions at the inlet of the chimney have met the designed target and been stabilized for long term.

Key words: coal fired power plant, dust removal control, desulfurization, integrated system

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