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