BABryan Acosta-Angulo

Bryan Acosta-Angulo

*This is an algorithmically generated author record based on publicly available information.

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


Bryan Acosta-Angulo has a total of 10 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Optimizing shunt currents and pressure drop in bipolar alkaline electrolysers

    by B. Acosta Angulo, J. Van der Schaaf, C. Chatzichristodoulou, M.T. de Groot

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

    by Bryan Acosta‐Angulo, Jennyfer Diaz‐Angulo, Jose Lara‐Ramos, Ricardo Torres‐Palma, Diana Martínez‐Pachón, Alejandro Moncayo‐Lasso, Fiderman Machuca‐Martínez

    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

    by Bryan Acosta-Angulo, Jose Lara-Ramos, Jennyfer Diaz-Angulo, Miguel Angel Mueses, Fiderman Machuca-Martínez

    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 (Ha<0.3). However, it strongly contrasted with earlier studies. The obtained values for the volumetric rate of photon absorption (VRPA) corresponding to the PCOz process (1.75×10−6 & 6.54×10−7 Einstein L−1 min−1) were significantly distant from the maximum (2.59×10−5 Einstein L−1 min−1). 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 (TIC<0.3), the optimization algorithm was likely to have masked the rate constants as they had highly deviated from already reported values.