The purpose of a digital twin (DT) is to gain insight into and predict the performance of a
physical product, process, or piece of infrastructure. Numerous advantages accrue from the …

The energy transition is growly rapidly. Yet, energy security and sustainability are still global
concerns. The transition from fossil based, eg, gas, to renewables, eg, wind, hence, require …

Reducing carbon emissions and electricity costs in industry is a major challenge to ensure
competitiveness and compliance with new climate policies. Photovoltaic power offers a …

Gas turbine engines are machines of high complexity and non-linearity. Interpreting the vast
amount of data from a gas turbine and converting them into customer value requires the …

The gradual degradation of gas turbine components is an inevitable result of engine
operation, impacting engine availability, reliability, and operating cost. Gas path analysis …

In the past decades, the quantity of researches regarding industrial gas turbines (GT) has
increased exponentially in terms of number of publications and diversity of applications. The …

Advanced diagnostic algorithms and high-fidelity simulation models improve the accuracy of
model-based gas path fault diagnosis for gas turbines (GTs). But simultaneously, it becomes …

The main objective of this paper is to model and analyze the thermodynamic performance of
a hybrid system consisting of steam turbine (ST), gas turbine (GT) and solid oxide fuel cell …

In recent years there has been a growing interest in gas turbine fault diagnosis, especially
under dynamic conditions, due to the evolving operating profile of gas turbines and the need …

In this paper, a physics-based mathematical model of a mini SR-30 gas turbine engine
(GTE) is presented using a state variable modeling method. This model is developed by …