Please use this identifier to cite or link to this item: https://essuir.sumdu.edu.ua/handle/123456789/95117
Or use following links to share this resource in social networks: Recommend this item
Title Butane dehydrogenation: Thermodynamic modeling and performance analysis of selected process simulators
Authors Barde, E.D.
Oyegoke, T.
Aliyu, A.
Uzochukwu, M.I.
Odih, C.
ORCID
Keywords process innovation
process simulation
thermodynamic modeling
Gibbs minimization
Type Article
Date of Issue 2024
URI https://essuir.sumdu.edu.ua/handle/123456789/95117
Publisher Sumy State University
License Creative Commons Attribution - NonCommercial 4.0 International
Citation Barde E. D., Oyegoke T., Aliyu A., Uzochukwu M. I., Odih C. (2024). Butane dehydrogenation: Thermodynamic modeling and performance analysis of selected process simulators. Journal of Engineering Sciences (Ukraine), Vol. 11(1), pp. F12–F20. https://doi.org/10.21272/jes.2024.11(1).f2
Abstract The critical role of process simulation in modern chemical engineering cannot be overstated, with its capacity to facilitate process scale-up, assess alternative designs, and comprehend plant efficiency. This research delves into the performance of three software programs, Cape-Open to Cape-Open (CC), DWSim, and Aspen HYSYS (AH), in modeling butane dehydrogenation. The focus is on their ability to accurately model thermodynamic properties and chemical reaction dynamics. Butane dehydrogenation was evaluated with specific thermodynamic parameters using a Gibbs reactor model with Gibbs minimization. The Soave Redlich-Kwong thermodynamic model was employed to investigate the impact of temperature of 700 °C and pressures of 0.1 MPa and 1.0 MPa on the yield and selectivity of butadiene and butene. The CC and AH simulation results closely agreed with the available experimental data. The consistency of freeware simulators with a commercial simulator was also assessed, with AH serving as the reference standard. It was revealed that CC demonstrates higher consistency with it than DWSim under both low- and highpressure conditions. This study confirms that CC is a reliable process simulator suitable for use in resource-constrained settings where expensive commercial licenses are prohibitive.
Appears in Collections: Journal of Engineering Sciences / Журнал інженерних наук

Views

China China
1
Colombia Colombia
1
Kuwait Kuwait
1
Malaysia Malaysia
1
Mexico Mexico
1
Nigeria Nigeria
152
Philippines Philippines
1
Saudi Arabia Saudi Arabia
252
Singapore Singapore
1
South Korea South Korea
1
United States United States
87
Unknown Country Unknown Country
1

Downloads

Colombia Colombia
1
Denmark Denmark
1
Germany Germany
1
Iran Iran
1
Mexico Mexico
1
Nigeria Nigeria
1
Philippines Philippines
1
Saudi Arabia Saudi Arabia
1
Slovakia Slovakia
1
United States United States
251

Files

File Size Format Downloads
Barde_jes_1_2024.pdf 601.7 kB Adobe PDF 260

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.