Combustion of Fuel Surrogates: An Application to Gas Turbine Engines
Mansour Al Qubeissi,
Nawar Al-Esawi and
Hakan Serhad Soyhan
Additional contact information
Mansour Al Qubeissi: Institute for Future Transport and Cities, Coventry University, Coventry CV1 5FB, UK
Nawar Al-Esawi: Mechanical Engineering and Design, Faculty of Arts, Science and Technology, University of Northampton, Northampton NN1 5PH, UK
Hakan Serhad Soyhan: Department of Mechanical Engineering, Engineering Faculty, Esentepe Campus, Sakarya University, Serdivan 54050, Turkey
Energies, 2021, vol. 14, issue 20, 1-14
Abstract:
The previously developed approaches for fuel droplet heating and evaporation processes, mainly using the Discrete Multi Component Model (DMCM), are investigated for the aerodynamic combustion simulation. The models have been recently improved and generalised for a broad range of bio-fossil fuel blends so that the application areas are broadened with an increased accuracy. The main distinctive features of these models are that they consider the impacts of species’ thermal conductivities and diffusivities within the droplets in order to account for the temperature gradient, transient diffusion of species and recirculation. A formulation of fuel surrogates is made using the recently introduced model, referred to as “Complex Fuel Surrogate Model (CFSM)”, and analysing their heating, evaporation and combustion characteristics. The CFSM is aimed to reduce the full composition of fuel to a much smaller number of components based on their mass fractions, and to formulate fuel surrogates. Such an approach has provided a proof of concept with the implementation of the developed model into a commercial CFD code ANSYS Fluent. A case study is made for the CFD modelling of a gas turbine engine using a kerosene fuel surrogate, which is the first of its kind. The surrogate is proposed using the CFSM, with the aim to reduce the computational time and improve the simulation accuracy of the CFD model.
Keywords: kerosene; CFD; combustion; fuel; gas turbine; numerical analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.mdpi.com/1996-1073/14/20/6545/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/20/6545/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:20:p:6545-:d:654165
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().