DOE OSTI · 2477272
Online System ID for Predicting Power Plant Performance Throughout Cycling Operations
Abstract
This presentation represents a review of the background research conducted by NETL to apply artificial intelligence, i.e. auto-recursive algorithms and data analytics to detect leaks in utility scale boilers and laboratory power systems. The new project being funded by the Advanced Sensors and Controls Program is part of the Field Work Proposal funded in EY21 as Task 53 to demonstrate the application of these techniques on a utility scale power system.
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Shadle, Lawrence, Agbleze, Selorme, Indrawan, Natarianto, Panday, Rupendranath, Pezzini, Paolo, Tucker, David, Bonilla-Alvarado, Harry, Bryden, Kenneth Mark, Chorpening, Benjamin, Lima, Fernando. 2021-05-20. Online System ID for Predicting Power Plant Performance Throughout Cycling Operations. https://doi.org/10.2172/2477272
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