Angelos Gaitanis
PhD student
Ir. at Aristotle University of Thessaloniki in 2018

Main project: Operational flexibility of micro gas turbine towards integration in smart systems.
Funding: H2020-MSCA-ITN-2019
Supervisor(s): Francesco Contino

The main scope of the current research project is understand the optimal MGT operational settings for alternative themodynamic cycles and also different fuels. More specifically, an optimization model will be developed, to identify the optimal operational mode that maximizes efficiency and minimizes operating costs, based on specific demand. This model will be established with the use of in-house codes and commercial software. Furthermore, a sensitivity analysis will be conducted to determine the effect of various operational parameters on dynamic system performance, and to assess the resilience of the specific setup. Finally, several system configurations will be addressed numerically in order to incorporate increased system flexibility. Thus, this research is expected to demonstrate the ability of MGT systems to be interfaced with other technological systems, for example smart grids.

IMMC main research direction(s):
Computational science
Fluid mechanics

energy harvesting
micro gas turbines

Research group(s): TFL

Recent publications

See complete list of publications

Conference Papers

1. Gaitanis, Angelos; Laterre, Antoine; Contino, Francesco; Ward De Paepe. Towards Real Time Transient mGT Performance Assessment: Effective Prediction Using Accurate Component Modelling Techniques. In: Proceedings of Global Power and Propulsion Society. Vol. GPPS Xi’an21, p. 8 (2022). 2022 xxx.