Energy, exergy and ecological analysis and multiobjective optimization of the hydrogen-fueled Scimitar engine with fixed nozzle geometry

Tanbay T., Durmayaz A.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, vol.47, no.45, pp.19876-19887, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 47 Issue: 45
  • Publication Date: 2022
  • Doi Number: 10.1016/j.ijhydene.2022.01.1270360-3199
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Artic & Antarctic Regions, Chemical Abstracts Core, Communication Abstracts, Environment Index, INSPEC
  • Page Numbers: pp.19876-19887
  • Keywords: Scimitar engine, Hydrogen fuel, Multiobjective optimization, Fixed nozzle geometry, Exergy analysis, Ecological analysis, COMBINED-CYCLE ENGINE, DESIGN, PERFORMANCE, MODEL, HEAT, EFFICIENCY, OPERATION, SYSTEM
  • Istanbul Technical University Affiliated: Yes


In this study, an energy, exergy and ecological analysis and multiobjective optimization of the Scimitar engine with fixed core nozzle outlet geometry are carried out at hypersonic cruise conditions. A single-objective optimization is performed first, which revealed that overall efficiency and coefficient of ecological performance are maximized with different optimum nozzle outlet areas, and it propounded the need for a multiobjective optimization. The single objective optimization also showed that decreasing the hydrogen fuel mass flow rate and cruise altitude together with increasing the air mass flow rate and cruise speed improve the performance of the engine. Then, the multiobjective optimization is performed with the utopia point method. It is concluded that for fuel and air mass flow rates of 3.99 kg/s and 178.6 kg/s, respectively, and cruise speed and altitude of Ma = 5.2 and 22 km, respectively, the optimum core nozzle outlet area is 4.00 m(2), when equal weight factors are used for overall efficiency and coefficient of ecological performance. A comparison with the base scenario results showed that the overall efficiency has increased from 55.1% to 57.3%, and the engine size is reduced from 5.38 m(2) to 4.00 m(2) with the multiobjective optimization. (C) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.