Bryan Acosta-Angulo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Bryan Acosta-Angulo has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Fiderman Machuca-Martínez
Center of Excellence in New Materials—CENM, School of Chemical Engineering, Universidad del Valle, Ciudad Universitaria Meléndez, Calle 13 # 100-00, Cali 760015, Colombia
2 shared publications - Jennyfer Diaz-Angulo
Research and Technological Development in Water Treatment Process Modelling and Disposal of Residues GITAM Cauca Colombia
2 shared publications - José Antonio Lara-Ramos
Grupo de Investigación de Fisicoquímica de Bio y Nanomateriales, Escuela de Ingeniería Química, Universidad del Valle, Santiago de Cali 760032, Colombia
2 shared publications Alejandro Moncayo‐Lasso
Faculty of Sciences Grupo de Investigación en Ciencias Biológicas y Químicas Universidad Antonio Nariño Bogotá D.C Colombia
1 shared publication- Christodoulos Chatzichristodoulou
DTU Energy, Technical University of Denmark
1 shared publication Diana Martínez‐Pachón
Faculty of Sciences Grupo de Investigación en Ciencias Biológicas y Químicas Universidad Antonio Nariño Bogotá D.C Colombia
1 shared publication
Latest Publications
- Open Access
- 7 July 2026
- Published by Elsevier in International Journal of Hydrogen Energy
- Vol. 256
Optimizing shunt currents and pressure drop in bipolar alkaline electrolysers
- 7 July 2026
- Published by Elsevier in International Journal of Hydrogen Energy
- Vol. 256
Open AccessOptimizing shunt currents and pressure drop in bipolar alkaline electrolysers
- 9 June 2022
- Published by Wiley in ChemElectroChem
- Vol. 9 (13)
Analysis of the Applications of Particle Swarm Optimization and Genetic Algorithms on Reaction Kinetics: A Prospective Study for Advanced Oxidation Processes
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.
- 9 June 2022
- Published by Wiley in ChemElectroChem
- Vol. 9 (13)
Analysis of the Applications of Particle Swarm Optimization and Genetic Algorithms on Reaction Kinetics: A Prospective Study for Advanced Oxidation Processes
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.
- Open Access
Mechanistic Model and Optimization of the Diclofenac Degradation Kinetic for Ozonation Processes Intensification
This work focused on estimating the rate constants for three ozone-based processes applied in the degradation of diclofenac. The ozonation (Oz) and its intensification with catalysis (COz) and photocatalysis (PCOz) were studied. Three mathematical models were evaluated with a genetic algorithm (GA) to find the optimal values for the kinetics constants. The Theil inequality coefficient (TIC) worked as a criterion to assess the models’ deviation. The diclofenac consumption followed a slow kinetic regime according to the Hatta number (). However, it strongly contrasted with earlier studies. The obtained values for the volumetric rate of photon absorption (VRPA) corresponding to the PCOz process ( & ) were significantly distant from the maximum (). The computed profiles of chemical species proved that no significant amount of hydroxyl radicals was produced in the Oz, whereas the PCOz achieved the highest production rate. According to this, titanium dioxide significantly contributed to ozone decomposition, especially at low ozone doses. Although the models’ prediction described a good agreement with the experimental data (), the optimization algorithm was likely to have masked the rate constants as they had highly deviated from already reported values.Open AccessMechanistic Model and Optimization of the Diclofenac Degradation Kinetic for Ozonation Processes Intensification
This work focused on estimating the rate constants for three ozone-based processes applied in the degradation of diclofenac. The ozonation (Oz) and its intensification with catalysis (COz) and photocatalysis (PCOz) were studied. Three mathematical models were evaluated with a genetic algorithm (GA) to find the optimal values for the kinetics constants. The Theil inequality coefficient (TIC) worked as a criterion to assess the models’ deviation. The diclofenac consumption followed a slow kinetic regime according to the Hatta number (). However, it strongly contrasted with earlier studies. The obtained values for the volumetric rate of photon absorption (VRPA) corresponding to the PCOz process ( & ) were significantly distant from the maximum (). The computed profiles of chemical species proved that no significant amount of hydroxyl radicals was produced in the Oz, whereas the PCOz achieved the highest production rate. According to this, titanium dioxide significantly contributed to ozone decomposition, especially at low ozone doses. Although the models’ prediction described a good agreement with the experimental data (), the optimization algorithm was likely to have masked the rate constants as they had highly deviated from already reported values.