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。
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.
出处
《中国电力》
CSCD
北大核心
2015年第4期11-15,35,共6页
Electric Power
基金
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~~
关键词
燃煤机组
脱硝催化剂
性能评估
寿命预测
换装优化
coal-fired power plant
DeNOx catalyst
performance evaluation
lifetime prediction
optimization of replacement
