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Gaitanis Angelos Evripidis

Université de Mons - UMONS > Faculté Polytechniqu > Service de Thermique et Combustion

ORCID
0000-0002-0707-434X
Main Referenced Co-authors
DE PAEPE, Ward  (6)
Contino, Francesco (5)
Laterre, Antoine (2)
Breuhaus, Peter (1)
Contino, Francesco  (1)
Main Referenced Keywords
mGT (3); Aerospace Engineering (1); Behavior prediction (1); Centralised (1); CHP (1);
Main Referenced Disciplines
Energy (6)
Mechanical engineering (1)
Physics (1)

Publications (total 6)

The most downloaded
15 downloads
Gaitanis, A. E., Laterre, A., Contino, F., & De Paepe, W. (07 July 2022). Towards real time transient mGT performance assessment: effective prediction using accurate component modelling techniques. Journal of the Global Power and Propulsion Society, 6, 96–105. doi:10.33737/jgpps/150359 https://hdl.handle.net/20.500.12907/43180

The most cited

1 citations (Scopus®)

Gaitanis, A. E., Contino, F., & De paepe, W. (2023). Real Time Micro Gas Turbines Performance Assessment Tool: Comprehensive Transient Behavior Prediction With Computationally Effective Techniques. Journal of Engineering for Gas Turbines and Power, 145 (3), 031006. doi:10.1115/1.4055785 https://hdl.handle.net/20.500.12907/45314

Gaitanis, A. E., Tiwari, R. N., De paepe, W., Ferrari, M. L., Contino, F., & Breuhaus, P. (26 June 2023). Operational Strategies of 2-Spool Micro Gas Turbine With Alternative Fuels: A Performance Assessment. Paper presented at ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, Boston, United States. doi:10.1115/gt2023-102667
Peer reviewed

Gaitanis, A. E., Contino, F., & De paepe, W. (2023). Real Time Micro Gas Turbines Performance Assessment Tool: Comprehensive Transient Behavior Prediction With Computationally Effective Techniques. Journal of Engineering for Gas Turbines and Power, 145 (3), 031006. doi:10.1115/1.4055785
Peer Reviewed verified by ORBi

Gaitanis, A. E., Laterre, A., Contino, F., & De Paepe, W. (07 July 2022). Towards real time transient mGT performance assessment: effective prediction using accurate component modelling techniques. Journal of the Global Power and Propulsion Society, 6, 96–105. doi:10.33737/jgpps/150359
Peer Reviewed verified by ORBi

Gaitanis, A. E., Laterre, A., Contino, F., & De Paepe, W. (2022). Towards Real Time Transient mGT Performance Assessment: Effective Prediction Using Accurate Component Modelling Techniques. Paper presented at GPPS Xi’an21.
Peer reviewed

Gaitanis, A. E., Contino, F., & De Paepe, W. (2022). Real time mGT performance assessment tool: Comprehensive transient behaviour prediction with computationally effective techniques. Paper presented at Proceedings of ASME Turbo Expo 2022 Turbomachinery Technical Conference and Exposition.
Peer reviewed

Gaitanis, A. E., De Paepe, W., & Contino, F. (07 June 2021). Towards Real Time Transient mGT Performance Assessment: Effective Prediction Through Efficient Adaption of Component Maps. Poster session presented at ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition.
Peer reviewed

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