Dr Elias Tsoutsanis PhD, MEng, FHEA

Dr Elias Tsoutsanis

Department of Mechanical Engineering
Lecturer

Dr Elias Tsoutsanis graduated with an honours MEng degree in Aerospace Engineering from the University of Liverpool in 2003, and a PhD from Cranfield University in 2010. He specializes in gas turbine performance simulation, control, diagnostics and prognostics. He has held academic positions in Greece, Qatar, United Arab Emirates and United Kingdom.

Qualifications

Lecturer in Mechanical Engineering

  • PhD Cranfield University, UK, 2010
  • MEng Aerospace Engineering, University of Liverpool, UK, 2003
  • PgCert in Learning and Teaching in Higher Education, Sheffield Hallam University, UK, 2018
  • Fellow of the Higher Education Academy

Teaching

  • Electrical Engineering 1
  • Introduction to Computing for Engineers
  • Mechatronics and Control

Postgraduate supervision

Gas Turbine Diagnostics and Prognostics
Dynamic Performance Simulation of Hybrid Power Plants
Optimisation of Plant Operation

Publications

Recent publications

Article

Tsoutsanis, E, Hamadache, M & Dixon, R 2020, 'Real time diagnostic method of gas turbines operating under transient conditions in hybrid power plants', Journal of Engineering for Gas Turbines and Power.

Tsoutsanis, E & Meskin, N 2019, 'Dynamic performance simulation and control of gas turbines used for hybrid gas/wind energy applications', Applied Thermal Engineering, vol. 147, pp. 122-142. https://doi.org/10.1016/j.applthermaleng.2018.09.031

Tsoutsanis, E & Meskin, N 2018, 'Performance assessment of classical and fractional controllers for transient operation of gas turbine engines', IFAC-PapersOnLine, vol. 51, no. 4, pp. 687-692. https://doi.org/10.1016/j.ifacol.2018.06.182

Tsoutsanis, E & Meskin, N 2017, 'Derivative-driven window-based regression method for gas turbine performance prognostics', Energy, vol. 128, pp. 302-311. https://doi.org/10.1016/j.energy.2017.04.006

Tsoutsanis, E, Li, YG, Pilidis, P & Newby, M 2017, 'Non-linear model calibration for off-design performance prediction of gas turbines with experimental data', Aeronautical Journal, vol. 121, no. 1245, pp. 1758-1777. https://doi.org/10.1017/aer.2017.96

Tsoutsanis, E, Meskin, N, Benammar, M & Khorasani, K 2016, 'A dynamic prognosis scheme for flexible operation of gas turbines', Applied Energy, vol. 164, pp. 686-701. https://doi.org/10.1016/j.apenergy.2015.11.104

Tsoutsanis, E, Meskin, N, Benammar, M & Khorasani, K 2015, 'Transient gas turbine performance diagnostics through nonlinear adaptation of compressor and turbine maps', Journal of Engineering for Gas Turbines and Power, vol. 137, no. 9, 091201. https://doi.org/10.1115/1.4029710

Tsoutsanis, E, Meskin, N, Benammar, M & Khorasani, K 2014, 'A component map tuning method for performance prediction and diagnostics of gas turbine compressors', Applied Energy, vol. 135, pp. 572-585. https://doi.org/10.1016/j.apenergy.2014.08.115

Chapter

Tsoutsanis, E 2020, A Dynamic Performance Model for Hybrid Wind/Gas Power Plants. in Modeling, Simulation and Optimization of Wind Farms and Hybrid Systems. InTech. <https://www.intechopen.com/books/modeling-simulation-and-optimization-of-wind-farms-and-hybrid-systems/a-dynamic-performance-model-for-hybrid-wind-gas-power-plants>

Conference contribution

Tsoutsanis, E, Hamadache, M & Dixon, R 2020, Real time diagnostic method of gas turbines operating under transient conditions in hybrid power plants. in ASME Turbo Expo 2020: Proceedings of ASME Turbo Expo 2020 Turbomachinery Technical Conference and Exposition.

Tsoutsanis, E & Meskin, N 2016, Forecasting the health of gas turbine components through an integrated performance-based approach. in 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016., 7542829, IEEE International Conference on Prognostics and Health Management (ICPHM), vol. 2016, Institute of Electrical and Electronics Engineers (IEEE), 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016, Ottawa, Canada, 20/06/16. https://doi.org/10.1109/ICPHM.2016.7542829

Tsoutsanis, E, Meskin, N, Benammar, M & Khorasani, K 2015, Performance-based prognosis scheme for industrial gas turbines. in 2015 IEEE Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHAf Technology and Application, PHM 2015., 7245018, Institute of Electrical and Electronics Engineers (IEEE), IEEE Conference on Prognostics and Health Management, PHM 2015, Austin, United States, 22/06/15. https://doi.org/10.1109/ICPHM.2015.7245018

Tsoutsanis, E, Meskin, N, Benammar, M & Khorasani, K 2014, An efficient component map generation method for prediction of gas turbine performance. in ASME Turbo Expo 2014: Turbine Technical Conference and Exposition: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy. vol. 6, V006T06A006, Turbo Expo: Power for Land, Sea, and Air, ASME (American Society of Mechanical Engineers), ASME Turbo Expo 2014: Turbine Technical Conference and Exposition, GT 2014, Dusseldorf, Germany, 16/06/14. https://doi.org/10.1115/GT2014-25753

Tsoutsanis, E, Meskin, N, Benammar, M & Khorasani, K 2013, Dynamic performance simulation of an aeroderivative gas turbine using the matlab simulink environment. in Dynamics, Vibration and Control. vol. 4 A, American Society of Mechanical Engineers(ASME), ASME 2013 International Mechanical Engineering Congress and Exposition, IMECE 2013, San Diego, CA, United States, 15/11/13. https://doi.org/10.1115/IMECE2013-64102

Review article

Tahan, M, Tsoutsanis, E, Muhammad, M & Abdul Karim, ZA 2017, 'Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review', Applied Energy, vol. 198, pp. 122-144. https://doi.org/10.1016/j.apenergy.2017.04.048

View all publications in research portal