Kinetic modeling and dynamic optimization of a commercial dichloroethane thermal cracker

Raoof, M.; Farsi, M.; Setoodeh, Payam

doi:10.1007/s11144-021-02069-7

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…Farsi M [a] 3 1 [158][159][160] Thermal cracking Trans-Alkylation Catalytic reforming Gubaydullim Im [a] 3 4 [161][162][163] Pyrolysis Catalytic reforming Corrosion Lu X [a] 3 1 [164][165][166] Combustion Fuels Activated sludges Wu G [a] 3 3…”

Section: Pyrolysis Of Biomassmentioning

confidence: 99%

Analysis of the Applications of Particle Swarm Optimization and Genetic Algorithms on Reaction Kinetics: A Prospective Study for Advanced Oxidation Processes

et al. 2022

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A bibliometric analysis of the Scopus database was implemented to assess the spread of two types of evolutionary algorithms (EAs), genetic algorithms (GA) and particle swarm optimization (PSO), on the study of reaction kinetics. Particular attention was given to applications for advanced oxidation processes (AOPs). The collaborations between countries and authors, as well as the keywords co‐occurrences, were investigated. Finally, the Gompertz and Logistic Substitution models (LSM) were employed to forecast future scenarios. It was observed that GA methods were the preferred algorithms for reaction kinetic studies, and the USA was the most influential country in terms of collaboration, followed by China. On the other hand, there was still poor collaboration for most countries; this was also observed for authors’ collaboration. In addition, literature concerning AOPs was still scarce. The forecasting suggested growth for implementing evolutionary algorithms, especially for the PSO, increasing its popularity regarding GA methods.

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