中国电力 ›› 2015, Vol. 48 ›› Issue (4): 11-15.DOI: 10.11930.2015.4.11

• 火电厂烟气脱硝技术专栏 • 上一篇    下一篇

燃煤机组SCR脱硝催化剂性能评价与寿命管理系统

周建新1,喻聪1,江晓明2,方绪文3,韩朝兵1,司风琪1,徐治皋1   

  1. 1. 东南大学 能源热转换及其过程测控教育部重点实验室,能源与环境学院,江苏 南京 210096;
    2. 大唐南京环保科技有限责任公司,江苏 南京 211100;
    3. 大唐马鞍山当涂发电有限公司,安徽 马鞍山 243102
  • 收稿日期:2015-01-19 出版日期:2015-04-25 发布日期:2015-12-03
  • 作者简介:周建新(1980—),男,江苏南通人,博士,从事火电机组性能监测、运行优化、动态特性及控制仿真。E-mail: hustzjxseu@126.com
  • 基金资助:
    This work is supported by Natural Science Foundation of Jiangsu Province(No.BK20130612), and Science and Technology Development Project of Nanjing City.

System for Performance Evaluation and Lifetime Management of SCR DeNOx Catalysts in Coal-Fired Power Plants

ZHOU Jianxin1, YU Cong1, JIANG Xiaoming2, FANG Xuwen3, HAN Chaobing1, SI Fengqi1, XU Zhigao1   

  1. 1. Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment,Southeast University, Nanjing 210096, China;
    2. Datang Nanjing Environment Protection Technology Co., Ltd., Nanjing 211100, China;
    3. Datang Ma’anshan Power Generation Co., Ltd., Ma’anshan 243102, China
  • Received:2015-01-19 Online:2015-04-25 Published:2015-12-03
  • Contact: 江苏省自然科学基金资助项目(BK20130612);南京市科技发展计划项目

摘要: 针对发电企业烟气脱硝催化剂工程管理经验较为缺乏的现状,设计开发了燃煤机组SCR脱硝催化剂性能评价分析与寿命预测管理系统。该系统构建了催化剂性能信息数据库,可存储多个机组的自投运以来的催化剂性能检测数据、跟踪催化剂活性变化、获得并定期更新催化剂寿命曲线。系统还建立了催化剂寿命预测模型,并能根据当前SCR脱硝效率、系统投运时间、进出口NOx浓度等实时信息对催化剂进行性能评价与寿命预估,可为催化剂的换装与优化运行提供技术指导。该系统在催化剂生产企业的成功投运,加强了SCR系统运营方与催化剂厂商的数据共享和技术交流,对脱硝系统的安全、经济、可靠运行发挥了重要作用,具有广阔的应用前景。

关键词: 燃煤机组, 脱硝催化剂, 性能评估, 寿命预测, 换装优化

Abstract: In the absence of enough experience in flue gas denitration catalyst management in thermal power plants, a SCR catalyst performance evaluation and lifetime prediction system is developed, in which a catalyst information database is designed and established to store the catalyst performance test data from multiple units since commissioning, keep track of the changes of the catalyst activity, and timely acquire and update the catalyst lifetime curve. In this system, a catalyst lifetime prediction model is also built to conduct the performance evaluation and lifetime prediction according to the real-time information such as the SCR denitration efficiency, the SCR system commissioning time and the inlet and outlet NOx concentrations, which can provide technical guidance for the catalyst replacement and optimization. It can not only enhance the data sharing and technical exchanges between SCR system operators and catalysts providers, but also ensure the safe, economic and reliable operation of the denitration system. The successful practice demonstrates its broad application prospects.辉

Key words: coal-fired power plant, DeNOx catalyst, performance evaluation, lifetime prediction, optimization of replacement

中图分类号: