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Optimizing Maintenance Strategies in Power Generation: Embracing Predictive and Preventive Approaches
In the high-stakes world of power generation, ensuring continuous operation and reducing downtime are central priorities. With the increasing complexity of power generation systems, maintenance practices are evolving to meet these demands more efficiently. Understanding the roles of Predictive Maintenance (PdM), Preventive Maintenance (PM), and Reactive Maintenance (Run-to-Failure) is crucial for maintenance professionals in the energy sector to make informed decisions about equipment management and long-term operational strategy.
Glenn A. Roth, Fatih Aydogan
Nuclear Science and Engineering | Volume 182 | Number 1 | January 2016 | Pages 71-82
Technical Paper | Special Issue on the RELAP5-3D Computer Code | doi.org/10.13182/NSE14-149
Articles are hosted by Taylor and Francis Online.
The RELAP5-3D code is used to analyze nuclear reactor systems during steady-state and transient operations. Reactor transients that result in significant two-phase flow conditions and phase change, such as reflood scenarios, loss-of-coolant accidents, and others, can tax the current capabilities of the code to model the flow fields. Current codes, such as RELAP5-3D, RELAP-7, and TRACE, have mass, momentum, and energy governing equations for only two fields (liquid and vapor). The representation of two-phase flow phenomena is improved by increasing the number of fields. Therefore, governing equations based on six fields (liquid, vapor, small bubble, large bubble, small droplet, and large droplet) are derived in this paper for implementation in RELAP5-3D.