Towards a Digital Twin for Gas Turbines: Thermodynamic Modeling, Critical Parameter Estimation, and Performance Optimization Using PINN and PSO

Towards a Digital Twin for Gas Turbines: Thermodynamic Modeling, Critical Parameter Estimation, and Performance Optimization Using PINN and PSO

Gas turbine (GT) modeling and optimization have been widely studied at the design level but still lacks focus on real-world operational cases. The concept of a digital twin (DT) allows for the interaction between operation data and the system dynamic performance. Among many DT studies, only a few fo...

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Bibliographic Details
Main Authors: Jian Tiong Lim, Achnaf Habibullah, Eddie Yin Kwee Ng
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
Subjects:
gas turbine operations
digital twin
thermodynamics
artificial neural networks
physics-informed neural networks
particle swarm optimization
Online Access:https://www.mdpi.com/1996-1073/18/14/3721
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