Malfunction diagnosis method for the thermal system of a power plant based on thermoeconomic analysis
| Autor: | Tao Yang, Yongfeng Shi, Jian-qun Xu, Keyi Zhou |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Coupling
Engineering Power station Renewable Energy Sustainability and the Environment business.industry 020209 energy Energy Engineering and Power Technology 02 engineering and technology Decoupling (cosmology) Fault (power engineering) Power (physics) Fuel Technology Nuclear Energy and Engineering Control theory Component (UML) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Performance indicator Process simulation business |
| Zdroj: | Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 38:124-132 |
| ISSN: | 1556-7230 1556-7036 |
| Popis: | It is difficult to accurately diagnose and locate faults in the thermal system of power plants due to the coupling of multiple components. The goal of the current study is to develop a model that predicts how the thermodynamic parameters–performance curve is changed when one component exhibits anomalies. This model uses the concept of irreversibility in thermoeconomic structure theory as a means of quantitatively measuring changes in the performance of power plant thermal systems. This is achieved by initially filtering out the effect of anomalies on the control regulation system and subsequently comparing the change in performance to reference values, enabling qualitative analysis to decouple component interactions. Following model construction, advanced process simulation is applied to simulate several typical fault conditions in a 330-MW power plant, and the proposed model is used to diagnose the cause of malfunction based on thermoeconomic analysis. The results indicate that the method has sat... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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