A new approach to formulation of complex fuel surrogates

Al-Esawi, Nawar Hasan Imran; Qubeissi, Mansour Al

doi:10.1016/j.fuel.2020.118923

Cited by 19 publications

(44 citation statements)

References 44 publications

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“…In this analysis, kerosene fuel surrogate is inferred from [33] and formulated using the complex fuel surrogate (CFS) model in [34]. The formulated surrogate is then compared with the kerosene surrogate provided in the commercial CFD software tool ANSYS Fluent.…”

Section: Methodsmentioning

confidence: 99%

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Combustion of Fuel Surrogates: An Application to Gas Turbine Engines

2021

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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.

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Section: Methodsmentioning

confidence: 99%

“…The formulated surrogate is then compared with the kerosene surrogate provided in the commercial CFD software tool ANSYS Fluent. The CFS in [34] was based on the effective Thermal Conductivity and Effective Diffusivity (ETC/ED) models. These models were described in [35,36].…”

Section: Methodsmentioning

confidence: 99%

Combustion of Fuel Surrogates: An Application to Gas Turbine Engines

2021

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“…In this analysis, kerosene fuel surrogate is inferred from [33], and formulated using the complex fuel surrogate model in [34]. The formulated surrogate is then compared with the kerosene surrogate provided in the commercial CFD software tool ANSYS-Fluent.…”

Section: Fuel Compositionmentioning

confidence: 99%

“…Finally, the ignition time delay of the suggested surrogate is predicted and compared to those of the fuel composition of kerosene and ANSYS kerosene suggested surrogate. The Complex Fuel Surrogate Model (CFSM), which has been discussed and presented in detail in earlier studies (e.g., [34,35]), was used for the formulation of kerosene surrogate. The composition of the full kerosene is shown in Table 1.…”

Section: Fuel Compositionmentioning

confidence: 99%

Combustion of Fuel Surrogates: An Application to Gas Turbine Engines

Qubeissi¹,

Al-Esawi²,

Soyhan³

2021

Preprint

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The previously developed models for fuel droplet heating and evaporation processes, mainly the Discrete Multi Component Model (DMCM), and Multi-Dimensional Quasi-Discrete Model (MDQDM) 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 increased accuracy. The main distinctive features of these models are that they consider the impacts of species thermal conductivities and diffusivities within the droplets 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 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 gas-turbine engine using kerosene fuel surrogate. The surrogate is proposed using the CFSM. The model is implemented into ANSYS-Fluent via a user-defined function to provide the first full simulation of the combustion process. Detailed chemical mechanism is also implemented into ANSYS Chemkin for the combustion study.

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“…The discrete multicomponent (DMC) model (see [7][8][9] for details) was a response to those drawbacks. A distinctive feature of this model is that it considers the effects of temperature gradient, species diffusion, and recirculation inside droplets using the effective thermal conductivity (ETC) and effective diffusivity (ED) models [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

An Improved Prediction of Pre-Combustion Processes, Using the Discrete Multicomponent Model

et al. 2021

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An improved heating and evaporation model of fuel droplets is implemented into the commercial Computational Fluid Dynamics (CFD) software CONVERGE for the simulation of sprays. The analytical solutions to the heat conduction and species diffusion equations in the liquid phase for each time step are coded via user-defined functions (UDF) into the software. The customized version of CONVERGE is validated against measurements for a single droplet of n-heptane and n-decane mixture. It is shown that the new heating and evaporation model better agrees with the experimental data than those predicted by the built-in heating and evaporation model, which does not consider the effects of temperature gradient and assumes infinitely fast species diffusion inside droplets. The simulation of a hollow-cone spray of primary reference fuel (PRF65) is performed and validated against experimental data taken from the literature. Finally, the newly implemented model is tested by running full-cycle engine simulations, representing partially premixed compression ignition (PPCI) using PRF65 as the fuel. These simulations are successfully performed for two start of injection timings, 20 and 25 crank angle (CA) before top-dead-centre (BTDC). The results show good agreement with experimental data where the effect of heating and evaporation of droplets on combustion phasing is investigated. The results highlight the importance of the accurate modelling of physical processes during droplet heating and evaporation for the prediction of the PPCI engine performance.

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A new approach to formulation of complex fuel surrogates

Cited by 19 publications

References 44 publications

Combustion of Fuel Surrogates: An Application to Gas Turbine Engines

Combustion of Fuel Surrogates: An Application to Gas Turbine Engines

Combustion of Fuel Surrogates: An Application to Gas Turbine Engines

An Improved Prediction of Pre-Combustion Processes, Using the Discrete Multicomponent Model

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