Items where Author is "Sayma, A."
Aqel, O., White, M. 
ORCID: 0000-0002-7744-1993 & Sayma, A. ORCID: 0000-0003-2315-0004 (2024).
Loss Analysis in Radial Inflow Turbines for Supercritical CO2 Mixtures.
Journal of Turbomachinery, 146(5),
article number 051003.
doi: 10.1115/1.4064193
Abdeldayem, A. A., White, M. ORCID: 0000-0002-7744-1993, Paggini, A. , Ruggiero, M. & Sayma, A. (2022).
Integrated Aerodynamic and Structural Blade Shape Optimisation of Axial Turbines Operating with Supercritical Carbon Dioxide Blended with Dopants.
Journal of Engineering for Gas Turbines and Power: Transactions of the ASME, 144(10),
article number 101016.
doi: 10.1115/1.4055232
Tala, T., Samad, T., Al-Zaili, J. ORCID: 0000-0003-4072-2107 , Kamuriwo, S., Sayma, A. ORCID: 0000-0003-2315-0004, Manyuchi, K., Kinoti, M. & Tsamenyi, M. (2022).
A Study on the Market Potential of Biomass-Based Micro Gas Turbines in Sub-Saharan Africa.
In:
Energy Proceedings.
13th International Conference on Applied Energy, 29 Nov - 2 Dec 2021, Thailand/Virtual.
doi: 10.46855/energy-proceedings-9290
Somehsaraei, H. N., Iaria, D., Al Zaili, J. , Assadi, M., Sayma, A. ORCID: 0000-0003-2315-0004 & Ghavami, M. ORCID: 0000-0002-0772-7726 (2019).
Application of Artificial Neural Networks for Monitoring and Optimum Operation Prediction of Solar Hybrid MGT Systems.
In:
Volume 3: Coal, Biomass, Hydrogen, and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems.
ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition, 17-21 Jun 2019, Phoenix, Arizona.
doi: 10.1115/gt2019-91180