styrene

A Python framework for simulating industrial adiabatic styrene reactors using the kinetic model proposed by Lee & Froment (2008) and program structure by Leite et al (2021) also featured in Leite et al (2023).

Contents

Install / Usage / Citation / References / Contact

Install

First, make sure you have a Python 3 environment installed.

To install from github:

pip install -e git+https://github.com/bruscalia/styrene#egg=styrene

Note: It might be useful to write "git+https://github.com/bruscalia/styrene#egg=styrene" if installing directly from a Python interpreter as # can be interpreted as a comment.

Usage

import numpy as np
import matplotlib.pyplot as plt
from styrene.reactor import MultiBed

test_reac = MultiBed()
test_reac.add_radial_bed(72950)
test_reac.set_inlet(T=886, P=1.25)
test_reac.add_radial_bed(82020)
test_reac.add_radial_bed(78330)
test_reac.add_resets(2, T=898.2)
test_reac.add_resets(3, T=897.6)

test_reac.solve()
profiles = test_reac.get_dataframe()

fig, ax = plt.subplots(figsize=[7, 4], dpi=100, sharex=True)

ax.plot(profiles.index * 1e-3, profiles["Fst"], color="darkgreen", label="Styrene")
ax.plot(profiles.index * 1e-3, profiles["Feb"], color="black", label="Ethylbenzene")

ax.set_ylabel("$F$ [kmol/h]")
ax.set_xlabel("$W$ [kg x 10³]")

ax.legend()

fig.tight_layout()
plt.show()

References

Lee, W. J. & Froment, G. F., 2008. Ethylbenzene Dehydrogenation into Styrene: Kinetic Modeling and Reactor Simulation. Industrial & Engineering Chemistry Research, February, 47(23), pp. 9183-9194. doi:10.1021/ie071098u

Leite, B., Costa, A. O. S. & Costa Junior, E. F., 2021. Simulation and optimization of axial-flow and radial-flow reactors for dehydrogenation of ethylbenzene into styrene based on a heterogeneous kinetic model. Chem. Eng. Sci., Volume 244, Article 116805. doi:10.1016/j.ces.2021.116805.

Leite, B., Costa, A. O. S., Costa, E. F., 2023. Multi-objective optimization of adiabatic styrene reactors using Generalized Differential Evolution 3 (GDE3). Chem. Eng. Sci., Volume 265, Article 118196. doi:10.1016/j.ces.2022.118196.

Contact

e-mail: [email protected]