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CFD investigation of fouling mechanisms in the crude oil preheat network

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Abstract

Fouling phenomena, generally related to heavy crude oils and bituminous petroleum fractions, nevertheless affects significantly the preheat train (PHT) of the light Algerian crude oil. In this study, a two dimensional model was developed using the computational fluid dynamic (CFD) method in order to investigate fouling behavior in the PHT of Algiers refinery. A fouling model was proposed specifically for the studied crude oil. The model includes a pseudo detailed chemical kinetic mechanism and it considers the deposition of inorganic matters. The proposed model was validated using the experimental results from literature. The simulation results show good agreements with the experimental data. The deposition mechanism of the two fouling routes was studied by analyzing the effect of flow velocity on the thermo-hydraulic conditions of near wall regions. The results indicate that the chemical reaction fouling is controlled by kinetic reaction process and the deposition of inorganic species is dominated by mass diffusion. The distribution of the initial fouling rate was evaluated along the entire heat exchangers network. The simulation results show that the inorganic process was predominant at the first heat exchanger and the chemical reaction fouling reaches its maximum at the PHT outlet.

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Availability of data and material

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Abbreviations

C p :

specific heat capacity, J kg−1 K−1

C b :

Bulk iron oxides concentration, kg m−3

D j :

mass diffusion coefficient of species j, m2 s −1

e d :

deposit thickness, m

E a :

activation energy, J kg−1 mol−1

G k :

production rate of k, J kg−1 S −1

G ω :

production rate of ω, J kg−1 S −1

J i :

diffusion flux of species i, kg m −2s −1

K:

clean overall heat transfer coefficient, W m −2 K−1

k :

production rate of turbulent kinetic energy, J kg−1 S −1

K a :

attachment coefficient, m s−1

K a 0 :

Arrhenius factor, m s−1

K d :

deposition coefficient, m s−1

K t :

transportation coefficient, m s−1

m d :

deposit mass per unit area, kg m−2

M w,j :

molecular weight of species j, g mol−1

P:

pressure, Pa

Q d :

mass deposition rate, kg m −2 s−1

r j :

intrinsic reaction rate of species j

R:

universal gas constant, J kmol−1 K−1

R f :

fouling resistance, m2 K W−1

\( {\boldsymbol{R}}_{\boldsymbol{i}}^{"} \) :

production rate of species i due to surface reaction, kg m −2 s−1

S :

heat exchange area at the axial distance x, m 2

T S :

surface temperature, K

\( \overline{\boldsymbol{u}} \) :

velocity vector, m s−1

Y j :

mass fraction of species j

Y i,wall :

mass fraction of species i at the wall

Y k :

destruction rate of k

Y ω :

destruction rate of ω

ASTM:

American Society for Testing and Materials

PHT:

Preheat Train

QUICK:

Quadratic Upstream Interpolation for Convective Kinematics

SIMPLE:

Semi Implicit Method for Pressure Link. Equations

SSB:

Syncrude Sweet Blend

SST:

Shear Stress Transport

γ :

kinematic viscosity, Pa.s

Ε:

dissipation rate of turbulent kinetic energy in k- ε eq. J kg−1 S −1

λ d :

thermal conductivity of deposit species, W m −1 K −1

μ :

dynamic molecular viscosity, kg m−1 s−1

μ t :

turbulent dynamic viscosity, kg m−1 s−1

ρ :

density, kg m −3

ρ d :

density of deposit species, kg m −3

σ :

turbulent Prandtl number

ω :

dissipation rate of turbulent kinetic energy in k-ω eq. J kg−1 S −1

E :

Reaction number

I :

Referring to deposit species

J :

Referring to bulk species

S :

Surface

W :

Wall

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Acknowledgements

The authors are indebted to the LBMPT laboratory (Laboratoire Mécanique Physique et Modélisation Mathématique Université de Médéa, Faculté de Technologie) for use Ansys program.

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Correspondence to Imen Kerraoui.

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Kerraoui, I., Mahdi, Y. & Mouheb, A. CFD investigation of fouling mechanisms in the crude oil preheat network. Heat Mass Transfer 57, 1411–1424 (2021). https://doi.org/10.1007/s00231-021-03040-x

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