Operation Data Based Modelling and Performance Monitoring of Steam Turbine Regenerative System under Full Working Conditions

Abstract

Mathematical modelling of steam turbines regenerative system usually depends on design geometry and characteristics, which may change over long-term operation due to degradation of the system. Performance monitoring based on such models may therefore become less accurate over time. In this paper, we propose an operation data based modelling approach to mathematical modelling and performance monitoring of the system. Operation data are firstly collected over a certain operation period, covering full working conditions. Dominant factor sub-models are then developed for key components of the steam turbine regenerative system to present the performance characteristics, including the heater, turbine stage and pump. The model can then be used for online performance monitoring of the system. This approach enables the possibility of continuous updating the mathematical model of the system for performance monitoring purposes. Finally, a case study is presented, where the proposed method is applied on a 330 MW power plant in Shanxi, China.